Jin I. Lee
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Biotechnology top 5%
- Microbial Metabolism and Applications
Papers in
- Aging 23
- Genetics, Aging, and Longevity in Model Organisms 23
- Co-authors
- Kyoung-hye Yoon (15 shared papers)Junsoo Park (10 shared papers)Seong Yeol Choi (3 shared papers)Robert J. Mitchell (3 shared papers)Rackhyun Park (7 shared papers)Minsu Jang (5 shared papers)Sim Namkoong (7 shared papers)Yea–In Park (4 shared papers)
- Journals
- Scientific Reports (4 papers)Journal of Visualized Experiments (4 papers)Biochemical and Biophysical Research Communications (2 papers)PeerJ (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
Jin I. Lee
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 108
- Aging 269
- Biotechnology 177
- Biological Psychiatry 46
- Endocrine and Autonomic Systems 122
- Pharmacology 86
Countries citing papers authored by Jin I. Lee
This map shows the geographic impact of Jin I. Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin I. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin I. Lee more than expected).
Fields of papers citing papers by Jin I. Lee
This network shows the impact of papers produced by Jin I. Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin I. Lee. The network helps show where Jin I. Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin I. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 150 | |
| 2 | 2020 | 123 | |
| 3 | 2001 | 117 | |
| 4 | 2018 | 112 | |
| 5 | 2021 | 83 | |
| 6 | 2021 | 70 | |
| 7 | 2009 | 48 | |
| 8 | 2010 | 46 | |
| 9 | 2015 | 41 | |
| 10 | 2015 | 33 | |
| 11 | 2004 | 30 | |
| 12 | 2015 | 28 | |
| 13 | 2012 | 27 | |
| 14 | 2013 | 18 | |
| 15 | 2004 | 17 | |
| 16 | 2016 | 13 | |
| 17 | 2020 | 12 | |
| 18 | 2014 | 10 | |
| 19 | 2001 | 10 | |
| 20 | 2012 | 10 |
About Jin I. Lee
Jin I. Lee is a scholar working on Aging, Molecular Biology, Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (23 papers), Circadian rhythm and melatonin (9 papers), Spaceflight effects on biology (5 papers), Agriculture Sustainability and Environmental Impact (3 papers), Medicinal Plants and Neuroprotection (3 papers), Neurobiology and Insect Physiology Research (3 papers), Microbial Metabolism and Applications (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Aging (269 citations), Biotechnology (177 citations), Biological Psychiatry (46 citations), Endocrine and Autonomic Systems (122 citations) and Pharmacology (86 citations). Jin I. Lee has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Kyoung-hye Yoon, Junsoo Park, Seong Yeol Choi, Robert J. Mitchell, Rackhyun Park, Minsu Jang, Sim Namkoong, Yea–In Park, Noëlle D. L’Étoile and Damien M. O’Halloran. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Biochemical and Biophysical Research Communications, PeerJ and Journal of Molecular Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.