Pan Chen
Impact in
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- Mental Health Research Topics
- Psychological and Temporal Perspectives Research
- Sleep and related disorders
- Applied Psychology top 10%
Papers in
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- Mental Health Research Topics 18
- Sleep and related disorders 4
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- COVID-19 and Mental Health 9
- Co-authors
- Alexander T. Vazsonyi (1 shared paper)Yu‐Tao Xiang (25 shared papers)Kristen C. Jacobson (1 shared paper)Emil F. Coccaro (1 shared paper)Zhaohui Su (22 shared papers)Teris Cheung (21 shared papers)Wei Bai (5 shared papers)Bing Xiang Yang (4 shared papers)
In The Last Decade
Pan Chen
31 papers receiving 491 citations
Peers
Comparison fields: 5 of 93
- Experimental and Cognitive Psychology 216
- Applied Psychology 64
- Biological Psychiatry 31
- Clinical Psychology 182
- Health 55
Countries citing papers authored by Pan Chen
This map shows the geographic impact of Pan 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 Pan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Chen more than expected).
Fields of papers citing papers by Pan Chen
This network shows the impact of papers produced by Pan 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 Pan Chen. The network helps show where Pan Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 96 | |
| 2 | 2011 | 89 | |
| 3 | 2012 | 62 | |
| 4 | 2020 | 56 | |
| 5 | 2023 | 47 | |
| 6 | 2024 | 18 | |
| 7 | 2024 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 11 | |
| 10 | 2024 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2022 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Pan Chen
Pan Chen is a scholar working on Experimental and Cognitive Psychology, Clinical Psychology, Social Psychology, Biological Psychiatry and Cognitive Neuroscience, having authored 34 papers that have together received 501 indexed citations. Recurring topics across this work include Mental Health Research Topics (18 papers), COVID-19 and Mental Health (9 papers), Tryptophan and brain disorders (5 papers), Functional Brain Connectivity Studies (5 papers), Mental Health Treatment and Access (4 papers), Sleep and related disorders (4 papers), Digital Mental Health Interventions (4 papers) and Health disparities and outcomes (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (216 citations), Applied Psychology (64 citations), Biological Psychiatry (31 citations), Clinical Psychology (182 citations) and Health (55 citations). Pan Chen has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Alexander T. Vazsonyi, Yu‐Tao Xiang, Kristen C. Jacobson, Emil F. Coccaro, Zhaohui Su, Teris Cheung, Wei Bai, Bing Xiang Yang, Hong Cai and Gábor S. Ungvári. Their work appears in journals such as Journal of Affective Disorders, Frontiers in Psychiatry, Translational Psychiatry, Frontiers in Public Health and Frontiers in Psychology.
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.