Jin Chen
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Tryptophan and brain disorders 7
-
- Stress Responses and Cortisol 5
- Co-authors
- Christian V. Forst (1 shared paper)Kwasi G. Mawuenyega (1 shared paper)Xian Chen (1 shared paper)Ning Huang (1 shared paper)E. Morton Bradbury (1 shared paper)Karen M. Dobos (1 shared paper)Zhi‐Gang Wang (1 shared paper)John T. Belisle (1 shared paper)
- Journals
- Journal of Affective Disorders (3 papers)Frontiers in Public Health (3 papers)Scientific Reports (3 papers)Progress in Neuro-Psychopharmacology and Biological Psychiatry (2 papers)Anti-Cancer Agents in Medicinal Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesFinland
In The Last Decade
Jin Chen
95 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 152
- Biological Psychiatry 106
- Behavioral Neuroscience 60
- Molecular Biology 657
- Infectious Diseases 153
- Genetics 79
Countries citing papers authored by Jin Chen
This map shows the geographic impact of Jin Chen'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 Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chen more than expected).
Fields of papers citing papers by Jin Chen
This network shows the impact of papers produced by Jin Chen. 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 Chen. The network helps show where Jin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Chen, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 197 | |
| 2 | 2008 | 160 | |
| 3 | 2007 | 158 | |
| 4 | 2021 | 152 | |
| 5 | 2020 | 49 | |
| 6 | 2002 | 48 | |
| 7 | 2016 | 44 | |
| 8 | 2012 | 43 | |
| 9 | 2014 | 40 | |
| 10 | 2020 | 39 | |
| 11 | 2023 | 36 | |
| 12 | 2009 | 35 | |
| 13 | 2022 | 33 | |
| 14 | 2016 | 33 | |
| 15 | 2018 | 31 | |
| 16 | 2021 | 31 | |
| 17 | 2019 | 31 | |
| 18 | 2023 | 30 | |
| 19 | 2022 | 30 | |
| 20 | 2024 | 29 |
About Jin Chen
Jin Chen is a scholar working on Biological Psychiatry, Behavioral Neuroscience, Dermatology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 105 papers that have together received 1.9k indexed citations. Recurring topics across this work include Tryptophan and brain disorders (7 papers), Acne and Rosacea Treatments and Effects (5 papers), Stress Responses and Cortisol (5 papers), Cancer-related gene regulation (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Dermatologic Treatments and Research (3 papers), Advanced ceramic materials synthesis (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Biological Psychiatry (106 citations), Behavioral Neuroscience (60 citations), Molecular Biology (657 citations), Infectious Diseases (153 citations) and Genetics (79 citations). Jin Chen has collaborated with scholars based in China, United States and Finland. Frequent co-authors include Christian V. Forst, Kwasi G. Mawuenyega, Xian Chen, Ning Huang, E. Morton Bradbury, Karen M. Dobos, Zhi‐Gang Wang, John T. Belisle, Yuan Cheng and Andrew M. Bradbury. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Public Health, Scientific Reports, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Anti-Cancer Agents in Medicinal Chemistry.
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.