Lan Wu
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Immunology top 5%
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
Papers in
- Virology 3
- HIV Research and Treatment 3
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- T-cell and B-cell Immunology 3
- IL-33, ST2, and ILC Pathways 2
- Co-authors
- Luc Van Kaer (5 shared papers)Matthew T. Stier (1 shared paper)Kasia Goleniewska (1 shared paper)Dawn C. Newcomb (2 shared papers)Baohua Zhou (1 shared paper)Ray Stokes Peebles (1 shared paper)Jian Zhang (1 shared paper)Jacqueline Yvonne Cephus (1 shared paper)
- Journals
- Journal of Virology (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Craniofacial Surgery (1 paper)iScience (1 paper)ACS Omega (1 paper)
- Partner nations
- United StatesChinaTanzania
In The Last Decade
Lan Wu
13 papers receiving 2.4k citations
Lan Wu's Hit Papers
Peers
Comparison fields: 5 of 66
- Virology 1.5k
- Immunology 334
- Radiology, Nuclear Medicine and Imaging 195
- Epidemiology 233
- Infectious Diseases 125
Countries citing papers authored by Lan Wu
This map shows the geographic impact of Lan 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 Lan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Wu more than expected).
Fields of papers citing papers by Lan Wu
This network shows the impact of papers produced by Lan 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 Lan Wu. The network helps show where Lan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan 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 | Rational Design of Envelope Identifies Broadly Neutralizing Human Monoclonal Antibodies to HIV-1 Hit paper breakdown → | 2010 | 1499 |
| 2 | 2011 | 372 | |
| 3 | 2014 | 205 | |
| 4 | 2017 | 158 | |
| 5 | 2019 | 88 | |
| 6 | 2009 | 42 | |
| 7 | 2015 | 39 | |
| 8 | 2020 | 16 | |
| 9 | 2022 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Lan Wu
Lan Wu is a scholar working on Virology, Immunology, Ophthalmology, Epidemiology and Cancer Research, having authored 14 papers that have together received 2.4k indexed citations. Recurring topics across this work include HIV Research and Treatment (3 papers), T-cell and B-cell Immunology (3 papers), IL-33, ST2, and ILC Pathways (2 papers), Phytochemistry and Biological Activities (1 paper), Bacillus and Francisella bacterial research (1 paper), Retinal and Macular Surgery (1 paper), Traumatic Ocular and Foreign Body Injuries (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Virology (1.5k citations), Immunology (334 citations), Radiology, Nuclear Medicine and Imaging (195 citations), Epidemiology (233 citations) and Infectious Diseases (125 citations). Lan Wu has collaborated with scholars based in United States, China and Tanzania. Frequent co-authors include Luc Van Kaer, Matthew T. Stier, Kasia Goleniewska, Dawn C. Newcomb, Baohua Zhou, Ray Stokes Peebles, Jian Zhang, Jacqueline Yvonne Cephus, Gary J. Nabel and Masaru Kanekiyo. Their work appears in journals such as Journal of Virology, Proceedings of the National Academy of Sciences, Journal of Craniofacial Surgery, iScience and ACS Omega.
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.