Qiang Wei

1.7k citations
51 papers · 1.3k · h-index 14

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • SARS-CoV-2 and COVID-19 Research
    • Viral Infections and Vectors
    • HIV/AIDS drug development and treatment

Papers in

    • HIV Research and Treatment 27
    • HIV/AIDS drug development and treatment 12
    • HIV/AIDS Research and Interventions 10

Qiang Wei

47 papers receiving 1.3k citations

Peers

Qiang Wei
Comparison fields: 5 of 98
  • Virology 342
  • Infectious Diseases 514
  • Parasitology 175
  • Immunology 371
  • Molecular Biology 505
Replace Chioma M. Okeoma with:
Chioma M. Okeoma United States
Catherine L. Wilhelmsen United States
M P Dierich Austria
Godwin Nchinda United States
Jay A. Berzofsky United States
G A Cole United States
J. P. Lecocq France
Bapi Pahar United States
Adam C. Soloff United States
Qiang Wei relative to Chioma M. Okeoma United States Chioma M. Okeoma's profile →
Citations per field
00.5×1.7×
Chioma M. Okeoma · 1×
Citations per year

Countries citing papers authored by Qiang Wei

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005346
2 2011226
3 200192
4 201991
5 200081
6 201759
7 201940
8 202132
9 201832
10 202131
11 201331
12 201331
13 201631
14 201218
15 200912
16 201511
17 200311
18 20179
19 20169
20 20249

About Qiang Wei

Qiang Wei is a scholar working on Virology, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (27 papers), HIV/AIDS drug development and treatment (12 papers), Immune Cell Function and Interaction (11 papers), HIV/AIDS Research and Interventions (10 papers), Galectins and Cancer Biology (3 papers), Herpesvirus Infections and Treatments (3 papers), Vector-borne infectious diseases (3 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Virology (342 citations), Infectious Diseases (514 citations), Parasitology (175 citations), Immunology (371 citations) and Molecular Biology (505 citations). Qiang Wei has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chuan Qin, Zhe Cong, Jing Xue, Jun Xu, Qingquan Tang, Nanshan Zhong, Yijia Liu, Du Cheng, Frank Xie and Patrick Lu. Their work appears in journals such as Journal of Medical Primatology, Journal of Virology, Classical and Quantum Gravity, Journal of Clinical Microbiology and International Journal of Molecular Sciences.

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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