Scientific exploration outlasts industrial momentum and sustains innovation in genetic research: survey of 20 million papers and patents
Long-term innovation depends not only on discovering new elements but also on facilitating new recombination at the time of their co-availability. This notion of combinatorial innovation raises the question about whether scientific exploration and industry research persist over similar time horizons to meet innovative opportunities. Here, we analyze about 20 million papers and US, Chinese, and European patents to compare the courses of scientific and industrial activities in genetic research, a domain of far-reaching societal importance. We observe that research on new genes has declined since the early 2000s, but the exploration of novel gene combinations remains active for biotechnology innovation. Yet, fields of highly practical or commercial focus are less likely to test novel gene combinations. Furthermore, industry R&D on each gene tends to decline earlier than scientific interest in that gene. After this decline of the industrial momentum, continuous scientific research still sustains exploratory and innovative opportunities, involving novel gene combinations, clinical trials, and technologically-impactful work. Based on a hypothetical scenario of over-aligned science and industry, we estimate that up to 42.2–74.4% of the combinational opportunities would be unexplored if scientific research becomes hindered due to industry’s retreat. This study suggests the potential complementary roles of scientific and industrial research with different temporal modes in innovation cycles, calling for balanced policies to foster innovation ecosystems.
Authors
- Kwangryul Baek (ORCID: https://orcid.org/0000-0002-8366-0666)
- Hyejin Youn (ORCID: https://orcid.org/0000-0002-6190-4412)
- Roktaek Lim (ORCID: https://orcid.org/0000-0003-3441-0692)
- Cheol-Min Ghim (ORCID: https://orcid.org/0000-0002-1460-9218)
- Pan‐Jun Kim (ORCID: https://orcid.org/0000-0002-9329-4997)
- Woo Jin Jung (ORCID: https://orcid.org/0000-0001-9368-0196)
- Sangdo Yook (ORCID: https://orcid.org/0000-0002-9490-6270)
- Ye-Gi Lee
- Yong‐Su Jin (ORCID: https://orcid.org/0000-0002-4464-9536)
- Junghun Chae (ORCID: https://orcid.org/0000-0002-3498-8921)
- Dawoon Jeong (ORCID: https://orcid.org/0000-0003-3575-709X)
- Juneil Jang (ORCID: https://orcid.org/0000-0001-7120-4025)
- Manoj Chamlagain (ORCID: https://orcid.org/0009-0005-0317-1483)
- Jae Won Lee (ORCID: https://orcid.org/0000-0003-1898-4338)
- Chanwoo Kim (ORCID: https://orcid.org/0000-0001-9914-313X)
Institutions
- Northwestern University (US)
- Santa Fe Institute (US)
- Seoul National University (KR)
- Hong Kong Baptist University (HK)
- University of Illinois Urbana-Champaign (US)
- Asia Pacific Center for Theoretical Physics (KR)
- University of Chicago (US)
- London Mathematical Laboratory (GB)
- Institute of Engineering Research (KR)
- Carl R. Woese Institute for Genomic Biology (US)
- Ulsan National Institute of Science and Technology (KR)
- University of Pennsylvania (US)
Publication Details
- Journal
- EPJ Data Science
- Published
- 2026-11-11
- DOI
- https://doi.org/10.1140/epjds/s13688-026-00715-5
- Primary Topic
- Intellectual Property and Patents
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation
- National Research Foundation
- Hong Kong Baptist University
- Ulsan National Institute of Science and Technology
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea