Lan Wu
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Virology top 2%
- HIV Research and Treatment
Papers in
- Immunology 47
- Immune Cell Function and Interaction 37
- T-cell and B-cell Immunology 20
- IL-33, ST2, and ILC Pathways 7
- Co-authors
- Luc Van Kaer (33 shared papers)Vrajesh V. Parekh (16 shared papers)Gary J. Nabel (8 shared papers)Wing-Pui Kong (4 shared papers)Naresh K. Malhotra (3 shared papers)Zhi-Yong Yang (6 shared papers)G. Shainesh (1 shared paper)Francis M. Ulgado (1 shared paper)
- Journals
- The Journal of Immunology (5 papers)Frontiers in Immunology (5 papers)Proceedings of the National Academy of Sciences (4 papers)Autophagy (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Lan Wu
150 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 180
- Immunology 2.2k
- Virology 402
- Epidemiology 859
- Physiology 119
- Organizational Behavior and Human Resource Management 217
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
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 477 | |
| 2 | 2005 | 261 | |
| 3 | 2007 | 209 | |
| 4 | 2014 | 174 | |
| 5 | 2009 | 169 | |
| 6 | 2012 | 156 | |
| 7 | 2010 | 148 | |
| 8 | 2009 | 139 | |
| 9 | 2013 | 130 | |
| 10 | 2004 | 128 | |
| 11 | 2019 | 110 | |
| 12 | 2004 | 95 | |
| 13 | 2020 | 87 | |
| 14 | 2012 | 84 | |
| 15 | 2014 | 78 | |
| 16 | 2015 | 75 | |
| 17 | 2005 | 68 | |
| 18 | 2020 | 63 | |
| 19 | 2017 | 61 | |
| 20 | 2014 | 61 |
About Lan Wu
Lan Wu is a scholar working on Immunology, Molecular Biology, Epidemiology, Oncology and Biomedical Engineering, having authored 162 papers that have together received 4.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (37 papers), T-cell and B-cell Immunology (20 papers), CAR-T cell therapy research (13 papers), HIV Research and Treatment (9 papers), Autophagy in Disease and Therapy (8 papers), IL-33, ST2, and ILC Pathways (7 papers), Virus-based gene therapy research (6 papers) and Pancreatic function and diabetes (6 papers). The work is most often cited by research in Immunology (2.2k citations), Virology (402 citations), Epidemiology (859 citations), Physiology (119 citations) and Organizational Behavior and Human Resource Management (217 citations). Lan Wu has collaborated with scholars based in United States, China and France. Frequent co-authors include Luc Van Kaer, Vrajesh V. Parekh, Gary J. Nabel, Wing-Pui Kong, Naresh K. Malhotra, Zhi-Yong Yang, G. Shainesh, Francis M. Ulgado, James Agarwal and J. Luke Postoak. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Proceedings of the National Academy of Sciences, Autophagy and Cancer Research.
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.