Mingyu Si
Impact in
- Health top 5%
- Vaccine Coverage and Hesitancy
- Clinical Psychology top 10%
- COVID-19 and Mental Health
- Resilience and Mental Health
Papers in
- Epidemiology 14
- HIV, Drug Use, Sexual Risk 6
- Cervical Cancer and HPV Research 6
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- COVID-19 and Mental Health 12
- Co-authors
- Xiaoyou Su (28 shared papers)You‐Lin Qiao (15 shared papers)Shaokai Zhang (11 shared papers)Xiaofen Gu (11 shared papers)Yiman Huang (18 shared papers)Weijun Xiao (16 shared papers)Li Ma (9 shared papers)Wenjun Wang (8 shared papers)
- Journals
- PLoS ONE (4 papers)Infectious Diseases of Poverty (2 papers)Frontiers in Public Health (2 papers)BMC Infectious Diseases (2 papers)BMC Public Health (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Mingyu Si
39 papers receiving 547 citations
Peers
Comparison fields: 5 of 108
- Health 139
- Clinical Psychology 202
- Modeling and Simulation 28
- Infectious Diseases 95
- Applied Psychology 22
Countries citing papers authored by Mingyu Si
This map shows the geographic impact of Mingyu Si'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 Mingyu Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyu Si more than expected).
Fields of papers citing papers by Mingyu Si
This network shows the impact of papers produced by Mingyu Si. 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 Mingyu Si. The network helps show where Mingyu Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingyu Si, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2021 | 69 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 43 | |
| 5 | 2016 | 35 | |
| 6 | 2023 | 32 | |
| 7 | 2019 | 24 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 14 | |
| 12 | 2024 | 14 | |
| 13 | 2023 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2021 | 8 |
About Mingyu Si
Mingyu Si is a scholar working on Epidemiology, Clinical Psychology, Infectious Diseases, Health and Neurology, having authored 40 papers that have together received 556 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (12 papers), Vaccine Coverage and Hesitancy (10 papers), Long-Term Effects of COVID-19 (7 papers), HIV/AIDS Research and Interventions (6 papers), HIV, Drug Use, Sexual Risk (6 papers), Cervical Cancer and HPV Research (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Sex work and related issues (3 papers). The work is most often cited by research in Health (139 citations), Clinical Psychology (202 citations), Modeling and Simulation (28 citations), Infectious Diseases (95 citations) and Applied Psychology (22 citations). Mingyu Si has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoyou Su, You‐Lin Qiao, Shaokai Zhang, Xiaofen Gu, Yiman Huang, Weijun Xiao, Li Ma, Wenjun Wang, Yu Jiang and Zefang Ren. Their work appears in journals such as PLoS ONE, Infectious Diseases of Poverty, Frontiers in Public Health, BMC Infectious Diseases and BMC Public Health.
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.