Won Lee
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Social Psychology top 5%
- Neuroendocrine regulation and behavior
- Primate Behavior and Ecology
Papers in
-
- Neuroendocrine regulation and behavior 11
-
- Animal Behavior and Reproduction 6
- Plant and animal studies 2
- Co-authors
- James P. Curley (14 shared papers)Cait M. Williamson (4 shared papers)Russell D. Romeo (2 shared papers)Amber Khan (1 shared paper)David Van Den Berg (1 shared paper)Paul D. Thomas (1 shared paper)Dalin Li (1 shared paper)Jinghua Liu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Neuroscience & Biobehavioral Reviews (1 paper)Proceedings of the Royal Society B Biological Sciences (1 paper)Human Molecular Genetics (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSouth KoreaCanada
In The Last Decade
Won Lee
17 papers receiving 656 citations
Peers
Comparison fields: 5 of 82
- Behavioral Neuroscience 164
- Social Psychology 357
- Biological Psychiatry 38
- Endocrine and Autonomic Systems 62
- Ecology, Evolution, Behavior and Systematics 145
Countries citing papers authored by Won Lee
This map shows the geographic impact of 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 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 Won Lee more than expected).
Fields of papers citing papers by Won Lee
This network shows the impact of papers produced by 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 Won Lee. The network helps show where Won Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside 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
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 105 | |
| 2 | 2016 | 101 | |
| 3 | 2017 | 82 | |
| 4 | 2019 | 68 | |
| 5 | 2017 | 49 | |
| 6 | 2019 | 37 | |
| 7 | 2020 | 35 | |
| 8 | 2019 | 34 | |
| 9 | 2022 | 31 | |
| 10 | 2003 | 28 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 25 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 5 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 |
About Won Lee
Won Lee is a scholar working on Social Psychology, Ecology, Evolution, Behavior and Systematics, Behavioral Neuroscience, Molecular Biology and Endocrine and Autonomic Systems, having authored 17 papers that have together received 661 indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (11 papers), Animal Behavior and Reproduction (6 papers), Stress Responses and Cortisol (5 papers), Circadian rhythm and melatonin (3 papers), Plant and animal studies (2 papers), Insect and Pesticide Research (2 papers), Complex Network Analysis Techniques (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Behavioral Neuroscience (164 citations), Social Psychology (357 citations), Biological Psychiatry (38 citations), Endocrine and Autonomic Systems (62 citations) and Ecology, Evolution, Behavior and Systematics (145 citations). Won Lee has collaborated with scholars based in United States, South Korea and Canada. Frequent co-authors include James P. Curley, Cait M. Williamson, Russell D. Romeo, Amber Khan, David Van Den Berg, Paul D. Thomas, Dalin Li, Jinghua Liu, Gary E. Swan and David V. Conti. Their work appears in journals such as Scientific Reports, Neuroscience & Biobehavioral Reviews, Proceedings of the Royal Society B Biological Sciences, Human Molecular Genetics and PLoS Genetics.
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.