Jennifer E. Wu
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 14
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 4
-
- Cytomegalovirus and herpesvirus research 5
- Co-authors
- Rita B. Effros (5 shared papers)Shane Crotty (3 shared papers)Michela Locci (2 shared papers)Colin Havenar‐Daughton (2 shared papers)Stanley T. Parish (3 shared papers)Elias K. Haddad (1 shared paper)Mark M. Davis (1 shared paper)Pascal Poignard (1 shared paper)
- Journals
- The Journal of Immunology (3 papers)Science Immunology (2 papers)Immunity (2 papers)Nature Immunology (2 papers)Experimental Neurology (1 paper)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Jennifer E. Wu
19 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Virology 280
- Immunology 1.1k
- Neurology 149
- Oncology 305
- Neurology 169
Countries citing papers authored by Jennifer E. Wu
This map shows the geographic impact of Jennifer E. 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 Jennifer E. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer E. Wu more than expected).
Fields of papers citing papers by Jennifer E. Wu
This network shows the impact of papers produced by Jennifer E. 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 Jennifer E. Wu. The network helps show where Jennifer E. Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jennifer E. 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 | Human Circulating PD-1+CXCR3−CXCR5+ Memory Tfh Cells Are Highly Functional and Correlate with Broadly Neutralizing HIV Antibody Responses Hit paper breakdown → | 2013 | 625 |
| 2 | 2012 | 193 | |
| 3 | 2016 | 121 | |
| 4 | 2022 | 119 | |
| 5 | 2016 | 86 | |
| 6 | 2021 | 77 | |
| 7 | 2009 | 67 | |
| 8 | 2010 | 66 | |
| 9 | 2013 | 55 | |
| 10 | 2024 | 47 | |
| 11 | 2004 | 46 | |
| 12 | 2010 | 42 | |
| 13 | 2023 | 42 | |
| 14 | 2023 | 33 | |
| 15 | 2017 | 22 | |
| 16 | 1984 | 17 | |
| 17 | 2007 | 16 | |
| 18 | 2025 | 11 | |
| 19 | 2023 | 7 |
About Jennifer E. Wu
Jennifer E. Wu is a scholar working on Immunology, Epidemiology, Oncology, Virology and Molecular Biology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (7 papers), Cytomegalovirus and herpesvirus research (5 papers), Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (4 papers), HIV Research and Treatment (3 papers), Neuroscience of respiration and sleep (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Virology (280 citations), Immunology (1.1k citations), Neurology (149 citations), Oncology (305 citations) and Neurology (169 citations). Jennifer E. Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Rita B. Effros, Shane Crotty, Michela Locci, Colin Havenar‐Daughton, Stanley T. Parish, Elias K. Haddad, Mark M. Davis, Pascal Poignard, Cecilia S. Lindestam Arlehamn and Mark A. Kroenke. Their work appears in journals such as The Journal of Immunology, Science Immunology, Immunity, Nature Immunology and Experimental Neurology.
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.