Henry Wu
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
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- Cardiovascular Health and Disease Prevention 3
-
- Inflammasome and immune disorders 3
- Co-authors
- James T. Willerson (2 shared papers)Edward T.H. Yeh (2 shared papers)Howard L. Weiner (4 shared papers)Francisco J. Quintana (2 shared papers)Andre Pires da Cunha (1 shared paper)Vincenzo Pasceri (1 shared paper)Zeev Estrov (1 shared paper)Martin Körbling (1 shared paper)
- Journals
- Circulation (4 papers)Journal of the American College of Cardiology (2 papers)Biomedicines (1 paper)Molecular Neurobiology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Henry Wu
26 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 102
- Immunology 510
- Cardiology and Cardiovascular Medicine 394
- Genetics 155
- Biochemistry 110
- Physiology 284
Countries citing papers authored by Henry Wu
This map shows the geographic impact of Henry 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 Henry Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Wu more than expected).
Fields of papers citing papers by Henry Wu
This network shows the impact of papers produced by Henry 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 Henry Wu. The network helps show where Henry Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Henry 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 464 | |
| 2 | 2000 | 454 | |
| 3 | 2003 | 354 | |
| 4 | 2008 | 247 | |
| 5 | 2006 | 198 | |
| 6 | 2000 | 185 | |
| 7 | 2009 | 63 | |
| 8 | 2004 | 58 | |
| 9 | 2015 | 50 | |
| 10 | 2007 | 39 | |
| 11 | 2008 | 38 | |
| 12 | 2011 | 29 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 19 | |
| 15 | 1999 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2005 | 13 | |
| 18 | 2001 | 12 | |
| 19 | 2023 | 10 | |
| 20 | 2008 | 10 |
About Henry Wu
Henry Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Immunology, Surgery and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Inflammasome and immune disorders (3 papers), Cardiac Imaging and Diagnostics (3 papers), Diabetes and associated disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Cell Function and Interaction (2 papers) and Tryptophan and brain disorders (2 papers). The work is most often cited by research in Immunology (510 citations), Cardiology and Cardiovascular Medicine (394 citations), Genetics (155 citations), Biochemistry (110 citations) and Physiology (284 citations). Henry Wu has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include James T. Willerson, Edward T.H. Yeh, Howard L. Weiner, Francisco J. Quintana, Andre Pires da Cunha, Vincenzo Pasceri, Zeev Estrov, Martin Körbling, Sui Zhang and Raymond Y. Kwong. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, Biomedicines, Molecular Neurobiology and The Journal of Immunology.
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.