Chul Lee
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
- Genetics 9
- Co-authors
- In‐Ho Paik (12 shared papers)Chi‐Un Pae (10 shared papers)Tae‐Youn Jun (7 shared papers)Chang‐Uk Lee (7 shared papers)Soo-Jung Lee (6 shared papers)Alessandro Serretti (7 shared papers)Bang Yeon Hwang (2 shared papers)Mi Kyeong Lee (2 shared papers)
- Journals
- Progress in Neuro-Psychopharmacology and Biological Psychiatry (3 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Scientific Data (1 paper)Neuropsychobiology (1 paper)Journal of Natural Medicines (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Chul Lee
24 papers receiving 385 citations
Peers
Comparison fields: 5 of 76
- Biological Psychiatry 52
- Behavioral Neuroscience 30
- Psychiatry and Mental health 64
- Biochemistry 20
- Genetics 75
Countries citing papers authored by Chul Lee
This map shows the geographic impact of Chul 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 Chul Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chul Lee more than expected).
Fields of papers citing papers by Chul Lee
This network shows the impact of papers produced by Chul 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 Chul Lee. The network helps show where Chul Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Chul 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 40 | |
| 2 | 2010 | 38 | |
| 3 | 2012 | 36 | |
| 4 | 2004 | 31 | |
| 5 | 2004 | 31 | |
| 6 | 1989 | 30 | |
| 7 | 2006 | 26 | |
| 8 | 2010 | 19 | |
| 9 | 2003 | 15 | |
| 10 | 2007 | 14 | |
| 11 | 2016 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2011 | 12 | |
| 14 | 2004 | 12 | |
| 15 | 2005 | 11 | |
| 16 | 2013 | 11 | |
| 17 | 2008 | 10 | |
| 18 | 2017 | 8 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 5 |
About Chul Lee
Chul Lee is a scholar working on Genetics, Molecular Biology, Cellular and Molecular Neuroscience, Psychiatry and Mental health and Biological Psychiatry, having authored 27 papers that have together received 391 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (5 papers), Schizophrenia research and treatment (4 papers), Tryptophan and brain disorders (3 papers), Sesquiterpenes and Asteraceae Studies (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Bipolar Disorder and Treatment (2 papers), Menopause: Health Impacts and Treatments (2 papers) and Autism Spectrum Disorder Research (2 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Behavioral Neuroscience (30 citations), Psychiatry and Mental health (64 citations), Biochemistry (20 citations) and Genetics (75 citations). Chul Lee has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include In‐Ho Paik, Chi‐Un Pae, Tae‐Youn Jun, Chang‐Uk Lee, Soo-Jung Lee, Alessandro Serretti, Bang Yeon Hwang, Mi Kyeong Lee, Seon Beom Kim and Sang Hyun Sung. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Asian-Australasian Journal of Animal Sciences, Scientific Data, Neuropsychobiology and Journal of Natural Medicines.
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.