Daehan Lee
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
Papers in
- Co-authors
- Erik C. Andersen (11 shared papers)Stefan Zdraljevic (7 shared papers)Daniel E. Cook (7 shared papers)Shannon C. Brady (5 shared papers)Gaotian Zhang (4 shared papers)Heekyeong Kim (3 shared papers)Sungsu Park (2 shared papers)Robyn E. Tanny (4 shared papers)
- Journals
- Nature Communications (4 papers)Genetics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Ecology & Evolution (2 papers)Journal of Biosciences (1 paper)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Daehan Lee
26 papers receiving 721 citations
Peers
Comparison fields: 5 of 90
- Aging 384
- Endocrine and Autonomic Systems 91
- Parasitology 50
- Genetics 209
- Insect Science 89
Countries citing papers authored by Daehan Lee
This map shows the geographic impact of Daehan 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 Daehan Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daehan Lee more than expected).
Fields of papers citing papers by Daehan Lee
This network shows the impact of papers produced by Daehan 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 Daehan Lee. The network helps show where Daehan Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Daehan 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 133 | |
| 2 | 2020 | 95 | |
| 3 | 2021 | 86 | |
| 4 | 2019 | 73 | |
| 5 | 2018 | 49 | |
| 6 | 2017 | 48 | |
| 7 | 2017 | 43 | |
| 8 | 2019 | 39 | |
| 9 | 2019 | 30 | |
| 10 | 2022 | 25 | |
| 11 | 2022 | 15 | |
| 12 | 2017 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2015 | 10 | |
| 17 | 2025 | 8 | |
| 18 | 2021 | 6 | |
| 19 | 2023 | 3 | |
| 20 | 2017 | 3 |
About Daehan Lee
Daehan Lee is a scholar working on Aging, Genetics, Molecular Biology, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 26 papers that have together received 725 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (17 papers), Evolution and Genetic Dynamics (7 papers), Circadian rhythm and melatonin (5 papers), CRISPR and Genetic Engineering (4 papers), Maritime Navigation and Safety (3 papers), Insect Utilization and Effects (2 papers), Ship Hydrodynamics and Maneuverability (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Aging (384 citations), Endocrine and Autonomic Systems (91 citations), Parasitology (50 citations), Genetics (209 citations) and Insect Science (89 citations). Daehan Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Erik C. Andersen, Stefan Zdraljevic, Daniel E. Cook, Shannon C. Brady, Gaotian Zhang, Heekyeong Kim, Sungsu Park, Robyn E. Tanny, Hye‐Jin Hwang and Ye Wang. Their work appears in journals such as Nature Communications, Genetics, Proceedings of the National Academy of Sciences, Nature Ecology & Evolution and Journal of Biosciences.
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.