Riyu Pan
Impact in
- Clinical Psychology top 0.1%
- COVID-19 and Mental Health
- Resilience and Mental Health
- Applied Psychology top 0.5%
- Digital Mental Health Interventions
Papers in ⓘ
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- COVID-19 and Mental Health 7
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- COVID-19 epidemiological studies 1
- Co-authors
- Roger Ho (8 shared papers)Linkang Xu (7 shared papers)Xiaoyang Wan (8 shared papers)Cyrus S. H. Ho (7 shared papers)Yilin Tan (8 shared papers)Cuiyan Wang (8 shared papers)Roger S. McIntyre (5 shared papers)Bach Xuan Tran (3 shared papers)
In The Last Decade
Riyu Pan
9 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Clinical Psychology 7.7k
- Applied Psychology 1.1k
- Social Psychology 2.3k
- Modeling and Simulation 490
- Experimental and Cognitive Psychology 1.3k
Countries citing papers authored by Riyu Pan
This map shows the geographic impact of Riyu Pan'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 Riyu Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Riyu Pan more than expected).
Fields of papers citing papers by Riyu Pan
This network shows the impact of papers produced by Riyu Pan. 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 Riyu Pan. The network helps show where Riyu Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Riyu Pan, 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 | Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China Hit paper breakdown → | 2020 | 7010 |
| 2 | A longitudinal study on the mental health of general population during the COVID-19 epidemic in China Hit paper breakdown → | 2020 | 1924 |
| 3 | 2020 | 257 | |
| 4 | 2021 | 76 | |
| 5 | 2021 | 50 | |
| 6 | 2021 | 49 | |
| 7 | 2023 | 4 | |
| 8 | A longitudinal study on the mental health of general population during the COVID-19 epidemic in China | 2021 | 1 |
| 9 | 2021 | 1 | |
| 10 | 2023 | 0 |
About Riyu Pan
Riyu Pan is a scholar working on Clinical Psychology, Modeling and Simulation, Economics and Econometrics, Social Psychology and Neurology, having authored 10 papers that have together received 9.4k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (7 papers), COVID-19 Pandemic Impacts (5 papers), Psychological Well-being and Life Satisfaction (3 papers), Long-Term Effects of COVID-19 (2 papers), COVID-19 epidemiological studies (1 paper), Heart Rate Variability and Autonomic Control (1 paper), Health disparities and outcomes (1 paper) and Emotional Labor in Professions (1 paper). The work is most often cited by research in Clinical Psychology (7.7k citations), Applied Psychology (1.1k citations), Social Psychology (2.3k citations), Modeling and Simulation (490 citations) and Experimental and Cognitive Psychology (1.3k citations). Riyu Pan has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Roger Ho, Linkang Xu, Xiaoyang Wan, Cyrus S. H. Ho, Yilin Tan, Cuiyan Wang, Roger S. McIntyre, Bach Xuan Tran, Vijay K. Sharma and Damian Grabowski. Their work appears in journals such as Frontiers in Psychiatry, Scientific Reports, Brain Behavior and Immunity, International Journal of Environmental Research and Public Health and JMIR Formative Research.
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.