Li Wu

14.2k citations
185 papers · 9.0k indexed · 2 hit papers · h-index 48
  • Virology top 0.1%
    • HIV Research and Treatment 69
  • Immunology top 0.5%
    • Immunotherapy and Immune Responses 29
    • Immune Cell Function and Interaction 26
    • interferon and immune responses 18
    • HIV/AIDS drug development and treatment 16
    • Cytomegalovirus and herpesvirus research 13
    • RNA modifications and cancer 25
    • RNA Research and Splicing 15

Li Wu

174 papers receiving 8.9k citations

Hit Papers

Therapeutic Potential...1942003202620102018100200300400500

Peers

Li Wu
Comparison fields: 5 of 138
  • Virology 3.0k
  • Immunology 3.6k
  • Infectious Diseases 1.4k
  • Epidemiology 2.0k
  • Molecular Biology 3.4k
Replace David G. Brooks with:
David G. Brooks United States
Jeremy Luban United States
Fatah Kashanchi United States
Søren R. Paludan Denmark
Roger J. Pomerantz United States
Hui Zhang China
Vicente Planelles United States
Carine Van Lint Belgium
Martin Giedlin United States
Kendall A. Smith United States
Li Wu relative to David G. Brooks United States David G. Brooks's profile →
Citations per field
00.5×1.5×2.3×
David G. Brooks · 1×
Citations per year

Countries citing papers authored by Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202411
3 20241
4 20240
5 20242
6 20237
7 20238
8 20232
9 20235
10 20235
11 202218
12 20213
13 20201
14 201910
15 201829
16 201519
17 2015114
18 2012162
19 201216
20
Depression of Patients with Cancers
20031

About Li Wu

Li Wu is a scholar working on Virology, Immunology, Cancer Research, Infectious Diseases and Epidemiology, having authored 185 papers that have together received 9.0k indexed citations. Recurring topics across this work include HIV Research and Treatment (69 papers), Immunotherapy and Immune Responses (29 papers), Immune Cell Function and Interaction (26 papers), RNA modifications and cancer (25 papers), interferon and immune responses (18 papers), HIV/AIDS drug development and treatment (16 papers), RNA Research and Splicing (15 papers) and Cytomegalovirus and herpesvirus research (13 papers). The work is most often cited by research in Virology (3.0k citations), Immunology (3.6k citations), Infectious Diseases (1.4k citations), Epidemiology (2.0k citations) and Molecular Biology (3.4k citations). Li Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Vineet N. KewalRamani, Angela D’Amico, Corine St. Gelais, Christopher M. Coleman, Derya Unutmaz, Thomas J. Hope, David McDonald, Thomas D. Martin, Nagaraja Tirumuru and Chunsheng Dong. Their work appears in journals such as Journal of Virology, Journal of Biological Chemistry, Retrovirology, Virology and Proceedings of the National Academy of 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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