Technological impact of biomedical research: The role of basicness and novelty
Citations
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Cited by:
- Krzysztof Szczygielski & Jerzy Mycielski, 2024. "The mutual reinforcement of scientific and technological knowledge—a technology-level analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6533-6549, November.
- Li, Bing & Ding, Kun & Larivière, Vincent, 2026. "Interdisciplinary research and technological change," Technological Forecasting and Social Change, Elsevier, vol. 225(C).
- Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
- Wang, Dan & Zhou, Xiao & Zhao, Pengwei & Pang, Juan & Ren, Qiaoyang, 2025. "Early identification of breakthrough technologies: Insights from science-driven innovations," Journal of Informetrics, Elsevier, vol. 19(1).
- 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.
- Jianwei DANG & Kazuyuki MOTOHASHI & Quihan ZHAO, 2025. "Patent Information Disclosure and Market Reactions: Empirical investigation by using text-based novelty and impact indicators," Discussion papers 25097, Research Institute of Economy, Trade and Industry (RIETI).
- Lian, Xiangpeng & Zhang, Yi & Wu, Mengjia & Guo, Ying, 2025. "Do scientific knowledge flows inspire exploratory innovation? Evidence from US biomedical and life sciences firms," Technovation, Elsevier, vol. 140(C).
- Qing Ke, 2023. "Interdisciplinary research and technological impact: evidence from biomedicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(4), pages 2035-2077, April.
- René Belderbos & Nazareno Braito & Jian Wang, 2024. "Heterogeneous university research and firm R&D location decisions: research orientation, academic quality, and investment type," The Journal of Technology Transfer, Springer, vol. 49(5), pages 1959-1989, October.
- Wang, Jian & Verberne, Suzan, 2024. "Comparing patent in-text and front-page references to science," Journal of Informetrics, Elsevier, vol. 18(4).
- Geng, Yu & Yin, Yixian & Cai, Ruonan & Wang, Xianwen, 2026. "Tracing scientific knowledge flow in patents: An explainable machine learning study of citation types and their temporal dynamics," Journal of Informetrics, Elsevier, vol. 20(1).
- Li, Xian & Du, Haixing & Bu, Yi & Ai, Mingshu & Huang, Junjie & Jia, Tao, 2025. "Innovation lineage structure: A graph structure in publications of scholars and its association with disruptiveness," Journal of Informetrics, Elsevier, vol. 19(4).
- Ke, Qing & Pan, Tianxing & Mao, Jin, 2026. "The geography of novel and atypical research," Research Policy, Elsevier, vol. 55(1).
- Keye Wu & Ziyue Xie & Jia Tina Du, 2024. "Does science disrupt technology? Examining science intensity, novelty, and recency through patent-paper citations in the pharmaceutical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5469-5491, September.
- Higashide, Noriyuki & Zhang, Yi & Asatani, Kimitaka & Miura, Takahiro & Sakata, Ichiro, 2024. "Quantifying advances from basic research to applied research in material science," Technovation, Elsevier, vol. 135(C).
- Zheng, Zhejun & Ma, Yaxue & Ba, Zhichao & Pei, Lei, 2024. "Tree knowledge structure for better insight: Capturing biomedical science-technology knowledge linkage with MeSH," Journal of Informetrics, Elsevier, vol. 18(4).
- Yi Zhao & Chengzhi Zhang, 2025. "A review on the novelty measurements of academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 727-753, February.
- Wang, Zhiqi & Chen, Yue & Yang, Chun, 2025. "The role of preprints in open science: Accelerating knowledge transfer from science to technology," Journal of Informetrics, Elsevier, vol. 19(2).
- 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).
- Shin, Hyunjin & Woo, Hyun Goo & Sohn, Kyung-Ah & Lee, Sungjoo, 2023. "Comparing research trends with patenting activities in the biomedical sector: The case of dementia," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
- 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).
- Jiang, Wenbo & Hong, Yong & Cui, Miao & Qu, Yongyi, 2026. "To be similar or unique? Exploring firms' pursuit of optimal technological relatedness to enhance technological impact: The role of firm size and competitor density," Technological Forecasting and Social Change, Elsevier, vol. 222(C).
- Xu, Shuo & Hao, Liyuan & Yang, Guancan & Lu, Kun & An, Xin, 2021. "A topic models based framework for detecting and forecasting emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
- 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.
- 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.
- Roh, Taeyeoun & Yoon, Byungun, 2023. "Discovering technology and science innovation opportunity based on sentence generation algorithm," Journal of Informetrics, Elsevier, vol. 17(2).
- Xingyu Gao & Qiang Wu & Yuanyuan Liu & Ruilu Yang, 2024. "Pasteur’s quadrant in AI: do patent-cited papers have higher scientific impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(2), pages 909-932, February.
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