Wenmin Yang

663 citations
47 papers · 462 · h-index 13

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • Tuberculosis Research and Epidemiology 9
    • HIV/AIDS Research and Interventions 7
    • HIV/AIDS drug development and treatment 4
    • Mycobacterium research and diagnosis 7
    • HIV, Drug Use, Sexual Risk 4

Wenmin Yang

45 papers receiving 457 citations

Peers

Wenmin Yang
Comparison fields: 5 of 115
  • Infectious Diseases 254
  • Virology 48
  • Epidemiology 202
  • Molecular Medicine 15
  • Immunology 53
Replace Vijay Nema with:
Vijay Nema India
Jessica Rose United States
Anna Orani Italy
Temi Lampejo United Kingdom
Vijay Harypursat China
Eddy Ríos‐Olivares Puerto Rico
Zhiwei Xie China
Anoop T. Ambikan Sweden
Sarah Stevens United States
Wenmin Yang relative to Vijay Nema India Vijay Nema's profile →
Citations per field
00.5×3.0×
Vijay Nema · 1×
Citations per year

Countries citing papers authored by Wenmin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Wenmin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201771
2 201940
3 201635
4 201631
5 201928
6 202320
7 201618
8 201116
9 201915
10 202213
11 202013
12 202312
13 201912
14 201610
15 20199
16 20219
17 20229
18 20208
19 20246
20 20216

About Wenmin Yang

Wenmin Yang is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Virology and Pulmonary and Respiratory Medicine, having authored 47 papers that have together received 462 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (9 papers), HIV/AIDS Research and Interventions (7 papers), Mycobacterium research and diagnosis (7 papers), HIV Research and Treatment (6 papers), Biochemical and Molecular Research (4 papers), HIV, Drug Use, Sexual Risk (4 papers), HIV/AIDS drug development and treatment (4 papers) and Topological Materials and Phenomena (3 papers). The work is most often cited by research in Infectious Diseases (254 citations), Virology (48 citations), Epidemiology (202 citations), Molecular Medicine (15 citations) and Immunology (53 citations). Wenmin Yang has collaborated with scholars based in China, United States and Sudan. Frequent co-authors include Jianping Xie, Wanyan Deng, Jie Zeng, Quanxin Long, Ping Li, Xinchun Chen, Abualgasim Elgaili Abdalla, Jie Zeng, Huanhuan Chen and Zhiyong Shen. Their work appears in journals such as Scientific Reports, Nature Communications, Microbial Pathogenesis, Journal of Cellular Physiology and European Polymer Journal.

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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