Lan Wu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- T-cell and B-cell Immunology
- Virology top 10%
- HIV Research and Treatment
Papers in
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- Immune Cell Function and Interaction 4
- Galectins and Cancer Biology 1
- IL-33, ST2, and ILC Pathways 1
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- Signaling Pathways in Disease 1
- Bioactive Natural Diterpenoids Research 1
- Co-authors
- Luc Van Kaer (4 shared papers)Kasia Goleniewska (1 shared paper)Baohua Zhou (1 shared paper)Dawn C. Newcomb (1 shared paper)R. Stokes Peebles (1 shared paper)Jian Zhang (1 shared paper)Matthew T. Stier (1 shared paper)Jacqueline Cephus (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Virology (2 papers)The Journal of Experimental Medicine (1 paper)ACS Omega (1 paper)Annals of Palliative Medicine (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Lan Wu
10 papers receiving 479 citations
Peers
Comparison fields: 5 of 57
- Immunology 323
- Virology 41
- Epidemiology 153
- Surgery 118
- Cardiology and Cardiovascular Medicine 51
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 | 2014 | 153 | |
| 2 | 2017 | 146 | |
| 3 | 2019 | 76 | |
| 4 | 2015 | 38 | |
| 5 | 2009 | 37 | |
| 6 | 2020 | 15 | |
| 7 | 2022 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2025 | 1 | |
| 10 | 2022 | 1 |
About Lan Wu
Lan Wu is a scholar working on Immunology, Molecular Biology, Epidemiology, Complementary and alternative medicine and Surgery, having authored 10 papers that have together received 480 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Traditional Chinese Medicine Analysis (2 papers), Phytochemistry and Biological Activities (1 paper), Signaling Pathways in Disease (1 paper), Bioactive Natural Diterpenoids Research (1 paper), HIV Research and Treatment (1 paper), Galectins and Cancer Biology (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (323 citations), Virology (41 citations), Epidemiology (153 citations), Surgery (118 citations) and Cardiology and Cardiovascular Medicine (51 citations). Lan Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Luc Van Kaer, Kasia Goleniewska, Baohua Zhou, Dawn C. Newcomb, R. Stokes Peebles, Jian Zhang, Matthew T. Stier, Jacqueline Cephus, Gary J. Nabel and Chih‐Jen Wei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Virology, The Journal of Experimental Medicine, ACS Omega and Annals of Palliative Medicine.
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.