Yanmin Wan

2.8k citations
71 papers · 955 · h-index 17

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies

Papers in

    • Influenza Virus Research Studies 10
    • Hepatitis B Virus Studies 8
    • Herpesvirus Infections and Treatments 8
    • Respiratory viral infections research 7
    • Immune Cell Function and Interaction 18
    • Immunotherapy and Immune Responses 14
    • T-cell and B-cell Immunology 10

Yanmin Wan

70 papers receiving 948 citations

Peers

Yanmin Wan
Comparison fields: 5 of 88
  • Virology 170
  • Infectious Diseases 325
  • Immunology 352
  • Epidemiology 429
  • Agronomy and Crop Science 55
Replace Sally Mossman with:
Sally Mossman United States
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Uwe Nicolay Germany
Edith Jasny Germany
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Citations per field
00.5×2.6×
Sally Mossman · 1×
Citations per year

Countries citing papers authored by Yanmin Wan

Since Specialization
Citations

This map shows the geographic impact of Yanmin Wan'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 Yanmin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanmin Wan more than expected).

Fields of papers citing papers by Yanmin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yanmin Wan. 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 Yanmin Wan. The network helps show where Yanmin Wan may publish in the future.

Co-authors

The 25 scholars most cited alongside Yanmin Wan, 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 Yanmin Wan Line = papers co-authored together Yanmin Wan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015185
2 200971
3 202145
4 201740
5 200839
6 201333
7 202031
8 201728
9 202027
10 200626
11 201824
12 201223
13 201521
14 201520
15 200720
16 202217
17 201616
18 201816
19 201414
20 201013

About Yanmin Wan

Yanmin Wan is a scholar working on Epidemiology, Immunology, Virology, Infectious Diseases and Molecular Biology, having authored 71 papers that have together received 955 indexed citations. Recurring topics across this work include HIV Research and Treatment (23 papers), Immune Cell Function and Interaction (18 papers), Immunotherapy and Immune Responses (14 papers), T-cell and B-cell Immunology (10 papers), Influenza Virus Research Studies (10 papers), Hepatitis B Virus Studies (8 papers), Herpesvirus Infections and Treatments (8 papers) and Respiratory viral infections research (7 papers). The work is most often cited by research in Virology (170 citations), Infectious Diseases (325 citations), Immunology (352 citations), Epidemiology (429 citations) and Agronomy and Crop Science (55 citations). Yanmin Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jianqing Xu, Chao Qiu, Xiaoyan Zhang, Zhaoqin Zhu, Yanqin Ren, Di Tian, Yunwen Hu, Lianxing Liu, Katherine Kedzierska and Paul G. Thomas. Their work appears in journals such as Vaccine, AIDS Research and Human Retroviruses, Scientific Reports, Frontiers in Immunology and Journal of Virology.

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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