Li Wu
- 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
- Infectious Diseases top 1%
- HIV/AIDS drug development and treatment 16
- Epidemiology top 1%
- Cytomegalovirus and herpesvirus research 13
- Molecular Biology top 2%
- RNA modifications and cancer 25
- RNA Research and Splicing 15
- Co-authors
- Vineet N. KewalRamaniAngela D’AmicoCorine St. GelaisChristopher M. ColemanDerya UnutmazThomas J. HopeDavid McDonaldThomas D. Martin
- Journals
- Journal of Virology (19 papers)Journal of Biological Chemistry (11 papers)Retrovirology (11 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Li Wu
174 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Virology 3.0k
- Immunology 3.6k
- Infectious Diseases 1.4k
- Epidemiology 2.0k
- Molecular Biology 3.4k
Countries citing papers authored by Li Wu
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 7 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 5 | |
| 11 | 2022 | 18 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 1 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 29 | |
| 16 | 2015 | 19 | |
| 17 | 2015 | 114 | |
| 18 | 2012 | 162 | |
| 19 | 2012 | 16 | |
| 20 | Depression of Patients with Cancers | 2003 | 1 |
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.