IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v130y2025i4d10.1007_s11192-025-05280-8.html
   My bibliography  Save this article

Will patents with more interdisciplinary scientific knowledge have higher technological impact? Empirical evidence from USPTO patents

Author

Listed:
  • Yuan Xu

    (Wuhan University
    Wuhan University)

  • Xi Chen

    (Wuhan University
    Wuhan University)

  • Jin Mao

    (Wuhan University
    Wuhan University)

  • Gang Li

    (Wuhan University
    Wuhan University)

Abstract

Understanding the impact of interdisciplinary scientific knowledge on technological innovation is crucial for fostering the transformation of scientific outcomes into technological achievements and the early identification of key patents. While previous studies have primarily measured the interdisciplinarity of scientific papers, this study focuses on patents, addressing the relatively unexplored relationship between interdisciplinary knowledge and technological impact, including long-term effects reflected in indirect patent citations. Using approximately 300 million patents in the USPTO from 2002 to 2009, this study examines the variety, balance, and disparity of disciplines of patent-cited papers as measurements of interdisciplinary scientific knowledge integrated in patents. Technological impact is measured by direct and indirect citations. Negative binomial regression analysis reveals a significant positive correlation between interdisciplinary scientific knowledge and the technological impact of patents. Specifically, higher disciplinary variety, balance, and disparity are associated with greater long-term impacts (indirect citations) compared to short-term impacts (direct citations). These findings contribute to the understanding of how interdisciplinary scientific knowledge influences the technological impact of patents, providing valuable insights for policymakers aiming to enhance the transformation of scientific outcomes into technological achievements and identify high-value patents early.

Suggested Citation

  • Yuan Xu & Xi Chen & Jin Mao & Gang Li, 2025. "Will patents with more interdisciplinary scientific knowledge have higher technological impact? Empirical evidence from USPTO patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(4), pages 2037-2068, April.
  • Handle: RePEc:spr:scient:v:130:y:2025:i:4:d:10.1007_s11192-025-05280-8
    DOI: 10.1007/s11192-025-05280-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-025-05280-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-025-05280-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    2. Chen, Shiji & Qiu, Junping & Arsenault, Clément & Larivière, Vincent, 2021. "Exploring the interdisciplinarity patterns of highly cited papers," Journal of Informetrics, Elsevier, vol. 15(1).
    3. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2011. "The knowledge-base evolution in biotechnology: a social network analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(5), pages 445-475.
    4. Song, Haoyang & Hou, Jianhua & Zhang, Yang, 2023. "The measurements and determinants of patent technological value: Lifetime, strength, breadth, and dispersion from the technology diffusion perspective," Journal of Informetrics, Elsevier, vol. 17(1).
    5. Meyer, Martin, 2000. "Does science push technology? Patents citing scientific literature," Research Policy, Elsevier, vol. 29(3), pages 409-434, March.
    6. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    7. Cassiman, Bruno & Veugelers, Reinhilde & Arts, Sam, 2018. "Mind the gap: Capturing value from basic research through combining mobile inventors and partnerships," Research Policy, Elsevier, vol. 47(9), pages 1811-1824.
    8. Anthony Breitzman & Patrick Thomas, 2015. "Inventor team size as a predictor of the future citation impact of patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 631-647, May.
    9. Hou, Jianhua & Tang, Shiqi & Zhang, Yang & Song, Haoyang, 2023. "Does prior knowledge affect patent technology diffusion? A semantic-based patent citation contribution analysis," Journal of Informetrics, Elsevier, vol. 17(2).
    10. Chen, Shiji & Arsenault, Clément & Larivière, Vincent, 2015. "Are top-cited papers more interdisciplinary?," Journal of Informetrics, Elsevier, vol. 9(4), pages 1034-1046.
    11. Veugelers, Reinhilde & Wang, Jian, 2019. "Scientific novelty and technological impact," Research Policy, Elsevier, vol. 48(6), pages 1362-1372.
    12. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    13. Manuel Trajtenberg & Rebecca Henderson & Adam Jaffe, 1997. "University Versus Corporate Patents: A Window On The Basicness Of Invention," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 19-50.
    14. von Wartburg, Iwan & Teichert, Thorsten & Rost, Katja, 2005. "Inventive progress measured by multi-stage patent citation analysis," Research Policy, Elsevier, vol. 34(10), pages 1591-1607, December.
    15. Joaquín M. Azagra-Caro & Ignacio Fernández-de-Lucio & François Perruchas & Pauline Mattsson, 2009. "What do patent examiner inserted citations indicate for a region with low absorptive capacity?," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 441-455, August.
    16. Wang, Jean J. & Ye, Fred Y., 2021. "Probing into the interactions between papers and patents of new CRISPR/CAS9 technology: A citation comparison," Journal of Informetrics, Elsevier, vol. 15(4).
    17. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    18. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    19. Jackie Krafft & Francesco Quatraro & Pier-Paolo Saviotti, 2014. "The dynamics of knowledge-intensive sectors’ knowledge base: Evidence from Biotechnology and Telecommunications," Post-Print halshs-01225834, HAL.
    20. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    21. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    22. Alan L. Porter & Alex S. Cohen & J. David Roessner & Marty Perreault, 2007. "Measuring researcher interdisciplinarity," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(1), pages 117-147, July.
    23. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    24. Su, Hsin-Ning & Moaniba, Igam M., 2017. "Investigating the dynamics of interdisciplinary evolution in technology developments," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 12-23.
    25. Gazni, Ali, 2020. "The growing number of patent citations to scientific papers: Changes in the world, nations, and fields," Technology in Society, Elsevier, vol. 62(C).
    26. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    27. Arthur, W. Brian, 2007. "The structure of invention," Research Policy, Elsevier, vol. 36(2), pages 274-287, March.
    28. Alfredo Yegros-Yegros & Ismael Rafols & Pablo D’Este, 2015. "Does Interdisciplinary Research Lead to Higher Citation Impact? The Different Effect of Proximal and Distal Interdisciplinarity," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-21, August.
    29. Jackie Krafft & Francesco Quatraro & Pier Paolo Saviotti, 2014. "The Dynamics of Knowledge-intensive Sectors' Knowledge Base: Evidence from Biotechnology and Telecommunications," Industry and Innovation, Taylor & Francis Journals, vol. 21(3), pages 215-242, April.
    30. Sam Arts & Reinhilde Veugelers, 2015. "Technology familiarity, recombinant novelty, and breakthrough invention," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(6), pages 1215-1246.
    31. Jiang, Hongxun & Fan, Shaokun & Zhang, Nan & Zhu, Bin, 2023. "Deep learning for predicting patent application outcome: The fusion of text and network embeddings," Journal of Informetrics, Elsevier, vol. 17(2).
    32. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    33. Ding, Cherng G. & Hung, Wen-Chi & Lee, Meng-Che & Wang, Hung-Jui, 2017. "Exploring paper characteristics that facilitate the knowledge flow from science to technology," Journal of Informetrics, Elsevier, vol. 11(1), pages 244-256.
    34. Righi, Cesare & Simcoe, Timothy, 2019. "Patent examiner specialization," Research Policy, Elsevier, vol. 48(1), pages 137-148.
    35. Schettino, Francesco & Sterlacchini, Alessandro & Venturini, Francesco, 2013. "Inventive productivity and patent quality: Evidence from Italian inventors," Journal of Policy Modeling, Elsevier, vol. 35(6), pages 1043-1056.
    36. Arianna Martinelli & Önder Nomaler, 2014. "Measuring knowledge persistence: a genetic approach to patent citation networks," Journal of Evolutionary Economics, Springer, vol. 24(3), pages 623-652, July.
    37. Rafols, Ismael & Leydesdorff, Loet & O’Hare, Alice & Nightingale, Paul & Stirling, Andy, 2012. "How journal rankings can suppress interdisciplinary research: A comparison between Innovation Studies and Business & Management," Research Policy, Elsevier, vol. 41(7), pages 1262-1282.
    38. Leydesdorff, Loet & Wagner, Caroline S. & Bornmann, Lutz, 2019. "Interdisciplinarity as diversity in citation patterns among journals: Rao-Stirling diversity, relative variety, and the Gini coefficient," Journal of Informetrics, Elsevier, vol. 13(1), pages 255-269.
    39. Corredoira, Rafael A. & Banerjee, Preeta M., 2015. "Measuring patent's influence on technological evolution: A study of knowledge spanning and subsequent inventive activity," Research Policy, Elsevier, vol. 44(2), pages 508-521.
    40. Julie Callaert & Maikel Pellens & Bart Looy, 2014. "Sources of inspiration? Making sense of scientific references in patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1617-1629, March.
    41. Jackie Krafft & Francesco Quatraro & Pier-Paolo Saviotti, 2014. "The dynamics of knowledge-intensive sectors' knowledge base: Evidence from Biotechnology and Telecommunications," Post-Print hal-02118411, HAL.
    42. Yian Yin & Yuxiao Dong & Kuansan Wang & Dashun Wang & Benjamin F. Jones, 2022. "Public use and public funding of science," Nature Human Behaviour, Nature, vol. 6(10), pages 1344-1350, October.
    43. Matt Marx & Aaron Fuegi, 2020. "Reliance on Science by Inventors: Hybrid Extraction of In-text Patent-to-Article Citations," NBER Working Papers 27987, National Bureau of Economic Research, Inc.
    44. Jung, Hyun Ju & Lee, Jeongsik “Jay”, 2014. "The impacts of science and technology policy interventions on university research: Evidence from the U.S. National Nanotechnology Initiative," Research Policy, Elsevier, vol. 43(1), pages 74-91.
    45. Jan Hohberger, 2017. "Combining valuable inventions: exploring the impact of prior invention value on the performance of subsequent inventions," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(5), pages 907-930.
    46. Weitzman, Martin L, 1996. "Hybridizing Growth Theory," American Economic Review, American Economic Association, vol. 86(2), pages 207-212, May.
    47. Matt Marx & Aaron Fuegi, 2020. "Reliance on science: Worldwide front‐page patent citations to scientific articles," Strategic Management Journal, Wiley Blackwell, vol. 41(9), pages 1572-1594, September.
    48. Marc Gruber & Dietmar Harhoff & Karin Hoisl, 2013. "Knowledge Recombination Across Technological Boundaries: Scientists vs. Engineers," Management Science, INFORMS, vol. 59(4), pages 837-851, April.
    49. Felix Poege & Dietmar Harhoff & Fabian Gaessler & Stefano Baruffaldi, 2019. "Science Quality and the Value of Inventions," Papers 1903.05020, arXiv.org, revised Apr 2019.
    50. Ba, Zhichao & Liang, Zhentao, 2021. "A novel approach to measuring science-technology linkage: From the perspective of knowledge network coupling," Journal of Informetrics, Elsevier, vol. 15(3).
    51. Yutao Sun & Chen Zhang & Robert A. W. Kok, 2020. "The role of research outcome quality in the relationship between university research collaboration and technology transfer: empirical results from China," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1003-1026, February.
    52. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    53. Lili Wang & Zexia Li, 2021. "Knowledge flows from public science to industrial technologies," The Journal of Technology Transfer, Springer, vol. 46(4), pages 1232-1255, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    2. Chen, Xi & Mao, Jin & Li, Gang, 2024. "A co-citation approach to the analysis on the interaction between scientific and technological knowledge," Journal of Informetrics, Elsevier, vol. 18(3).
    3. Chen, Xi & Mao, Jin & Ma, Yaxue & Li, Gang, 2024. "The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    4. Bing Li & Shiji Chen & Vincent Larivière, 2023. "Interdisciplinarity affects the technological impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(12), pages 6527-6559, December.
    5. Wu, Keye & Sun, Jianjun & Wang, Jiajie & Kang, Lele, 2025. "How does science convergence influence technology convergence? Different impacts of science-push and technology-pull," Technological Forecasting and Social Change, Elsevier, vol. 215(C).
    6. Munari, Federico & Righi, Hérica Morais & Toschi, Laura, 2025. "Across disciplines, to make an impact. The technological impact of boundary-spanning research projects," Technovation, Elsevier, vol. 141(C).
    7. Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
    8. Shiji Chen & Yanhui Song & Fei Shu & Vincent Larivière, 2022. "Interdisciplinarity and impact: the effects of the citation time window," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2621-2642, May.
    9. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," MPRA Paper 123361, University Library of Munich, Germany.
    10. Fernández, Ana María & Ferrándiz, Esther & Medina, Jennifer, 2022. "The diffusion of energy technologies. Evidence from renewable, fossil, and nuclear energy patents," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    11. Lorenzo Ardito & Roger Svensson, 2024. "Sourcing applied and basic knowledge for innovation and commercialization success," The Journal of Technology Transfer, Springer, vol. 49(3), pages 959-995, June.
    12. Martin Kalthaus, 2020. "Knowledge recombination along the technology life cycle," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 643-704, July.
    13. Orsatti, Gianluca & Quatraro, Francesco & Pezzoni, Michele, 2020. "The antecedents of green technologies: The role of team-level recombinant capabilities," Research Policy, Elsevier, vol. 49(3).
    14. Colombelli, Alessandra & Quatraro, Francesco, 2018. "New firm formation and regional knowledge production modes: Italian evidence," Research Policy, Elsevier, vol. 47(1), pages 139-157.
    15. Ziyan Zhang & Junyan Zhang & Pushi Wang, 2024. "Measurement of disruptive innovation and its validity based on improved disruption index," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6477-6531, November.
    16. Jingjing Ren & Fang Wang & Minglu Li, 2023. "Dynamics and characteristics of interdisciplinary research in scientific breakthroughs: case studies of Nobel-winning research in the past 120 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4383-4419, August.
    17. Stephan, Annegret & Bening, Catharina R. & Schmidt, Tobias S. & Schwarz, Marius & Hoffmann, Volker H., 2019. "The role of inter-sectoral knowledge spillovers in technological innovations: The case of lithium-ion batteries," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    18. Wang, Jian & Verberne, Suzan, 2024. "Comparing patent in-text and front-page references to science," Journal of Informetrics, Elsevier, vol. 18(4).
    19. Yuchen Zhang & Wei Yang, 2022. "Breakthrough invention and problem complexity: Evidence from a quasi‐experiment," Strategic Management Journal, Wiley Blackwell, vol. 43(12), pages 2510-2544, December.
    20. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:130:y:2025:i:4:d:10.1007_s11192-025-05280-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.