Yuntao Wu

4.9k citations
67 papers · 3.3k indexed · 1 hit paper · h-index 29
  • Virology top 0.5%
    • HIV Research and Treatment 48
    • HIV/AIDS drug development and treatment 13
    • SARS-CoV-2 and COVID-19 Research 5
    • COVID-19 Clinical Research Studies 4
  • Immunology top 2%
    • Immune Cell Function and Interaction 26
    • T-cell and B-cell Immunology 13
  • Neurology top 5%
    • Cytomegalovirus and herpesvirus research 10
    • Virus-based gene therapy research 5

Yuntao Wu

62 papers receiving 3.3k citations

Hit Papers

Understanding SARS-CoV-2-Mediated Inflammatory Responses:...5492020202620222024100200300400500

Peers

Yuntao Wu
Comparison fields: 5 of 119
  • Virology 1.6k
  • Infectious Diseases 1.3k
  • Immunology 1.0k
  • Neurology 243
  • Molecular Biology 1.0k
Replace Thomas Harrer with:
Thomas Harrer Germany
Elisa Vicenzi Italy
Olaf Kutsch United States
Donald D. Anthony United States
John C. Tilton United States
Michael Schindler Germany
Mark J. Cameron United States
Kathleen A. Clouse United States
Arndt Benecke France
Dumith Chequer Bou‐Habib Brazil
Yuntao Wu relative to Thomas Harrer Germany Thomas Harrer's profile →
Citations per field
00.5×2.8×
Thomas Harrer · 1×
Citations per year

Countries citing papers authored by Yuntao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yuntao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20242
4 20227
5 20211
6 202018
7 202018
8 202016
9 201914
10 201925
11 201814
12 201761
13 201525
14 201324
15 2009112
16 200969
17 200837
18 2008232
19 200772
20 200328

About Yuntao Wu

Yuntao Wu is a scholar working on Virology, Immunology and Infectious Diseases, having authored 67 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (48 papers), Immune Cell Function and Interaction (26 papers), HIV/AIDS drug development and treatment (13 papers), T-cell and B-cell Immunology (13 papers), Cytomegalovirus and herpesvirus research (10 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Virus-based gene therapy research (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Virology (1.6k citations), Infectious Diseases (1.3k citations) and Immunology (1.0k citations). Yuntao Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jon W. Marsh, Yajing Fu, Yuanxiong Cheng, Alyson Yoder, Jia Guo, Weifeng Wang, Dongyang Yu, Mark Spear, Zichong Li and Qiang Zhou.

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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