In‐Won Lee
Impact in
- Aging top 10%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Epigenetics and DNA Methylation 4
- Mitochondrial Function and Pathology 4
- Pluripotent Stem Cells Research 3
-
- Reproductive Biology and Fertility 8
- Co-authors
- John Carroll (4 shared papers)Deepak Adhikari (4 shared papers)Wai Shan Yuen (2 shared papers)Young‐Il Kim (9 shared papers)Young Ki Choi (9 shared papers)Young‐Jae Si (9 shared papers)Eun-Ha Kim (8 shared papers)Hyeok-Il Kwon (8 shared papers)
- Journals
- The FASEB Journal (2 papers)Journal of Virology (2 papers)Infection Genetics and Evolution (2 papers)Scientific Reports (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- South KoreaAustraliaUnited States
In The Last Decade
In‐Won Lee
21 papers receiving 489 citations
Peers
Comparison fields: 5 of 69
- Aging 21
- Modeling and Simulation 47
- Infectious Diseases 125
- General Dentistry 9
- Agronomy and Crop Science 56
Countries citing papers authored by In‐Won Lee
This map shows the geographic impact of In‐Won 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 In‐Won Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Won Lee more than expected).
Fields of papers citing papers by In‐Won Lee
This network shows the impact of papers produced by In‐Won 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 In‐Won Lee. The network helps show where In‐Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside In‐Won 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 145 | |
| 2 | 2022 | 75 | |
| 3 | 2022 | 31 | |
| 4 | 2015 | 30 | |
| 5 | 2017 | 25 | |
| 6 | 2017 | 21 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 20 | |
| 9 | 2018 | 18 | |
| 10 | 2016 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2016 | 11 | |
| 14 | 2018 | 10 | |
| 15 | 2017 | 9 | |
| 16 | 2017 | 9 | |
| 17 | 2017 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2016 | 6 | |
| 20 | 2021 | 5 |
About In‐Won Lee
In‐Won Lee is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Epidemiology, Agronomy and Crop Science and Cell Biology, having authored 21 papers that have together received 493 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Influenza Virus Research Studies (7 papers), Microtubule and mitosis dynamics (6 papers), Animal Disease Management and Epidemiology (6 papers), Epigenetics and DNA Methylation (4 papers), Mitochondrial Function and Pathology (4 papers), Pluripotent Stem Cells Research (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Aging (21 citations), Modeling and Simulation (47 citations), Infectious Diseases (125 citations), General Dentistry (9 citations) and Agronomy and Crop Science (56 citations). In‐Won Lee has collaborated with scholars based in South Korea, Australia and United States. Frequent co-authors include John Carroll, Deepak Adhikari, Wai Shan Yuen, Young‐Il Kim, Young Ki Choi, Young‐Jae Si, Eun-Ha Kim, Hyeok-Il Kwon, Min‐Suk Song and Se‐Mi Kim. Their work appears in journals such as The FASEB Journal, Journal of Virology, Infection Genetics and Evolution, Scientific Reports and Emerging Microbes & Infections.
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.