Mingyu Si

1.3k citations
40 papers · 601 · h-index 14

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
    • COVID-19 and Mental Health
    • Resilience and Mental Health

Papers in

    • COVID-19 and Mental Health 9
    • Cervical Cancer and HPV Research 6
    • HIV, Drug Use, Sexual Risk 3
    • Hepatitis B Virus Studies 2

Mingyu Si

40 papers receiving 592 citations

Peers

Mingyu Si
Comparison fields: 5 of 96
  • Health 100
  • Clinical Psychology 144
  • Modeling and Simulation 18
  • Complementary and alternative medicine 29
  • Infectious Diseases 63
Replace Alberto J. Hormeño-Holgado with:
Alberto J. Hormeño-Holgado Colombia
Md. Abdur Rafi Bangladesh
Agnieszka Bartoszek Poland
Feiyun Ouyang China
Vasilis S. Vasiliou United Kingdom
Andrea López‐Cepero United States
Juan Camilo Benítez-Agudelo Colombia
Marta Estrela Portugal
Chun En Yau Singapore
Michael Landen United States
Mingyu Si relative to Alberto J. Hormeño-Holgado Colombia Alberto J. Hormeño-Holgado's profile →
Citations per field
00.5×2×3×4.3×
Alberto J. Hormeño-Holgado · 1×
Citations per year

Countries citing papers authored by Mingyu Si

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mingyu Si Line = papers co-authored together Mingyu Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202173
2 202172
3 202148
4 202245
5 201639
6 202338
7 201924
8 202119
9 202118
10 202218
11 202415
12 202214
13 202313
14 202313
15 201912
16 202212
17 202311
18 20229
19 20219
20 20228

About Mingyu Si

Mingyu Si is a scholar working on Clinical Psychology, Epidemiology, Infectious Diseases, Health and Sociology and Political Science, having authored 40 papers that have together received 601 indexed citations. Recurring topics across this work include COVID-19 and Mental Health (9 papers), Cervical Cancer and HPV Research (6 papers), HIV/AIDS Research and Interventions (6 papers), Vaccine Coverage and Hesitancy (6 papers), Sex work and related issues (3 papers), HIV, Drug Use, Sexual Risk (3 papers), Hepatitis B Virus Studies (2 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Health (100 citations), Clinical Psychology (144 citations), Modeling and Simulation (18 citations), Complementary and alternative medicine (29 citations) and Infectious Diseases (63 citations). Mingyu Si has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoyou Su, You‐Lin Qiao, Yiman Huang, Xiaofen Gu, Shaokai Zhang, Weijun Xiao, Li Ma, Wenjun Wang, Yu Jiang and Zefang Ren. Their work appears in journals such as PLoS ONE, Cancer Control, BMC Infectious Diseases, Infectious Diseases of Poverty and Frontiers in 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.

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