Paul Zhou
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
Papers in
- Immunology 41
- Immune Cell Function and Interaction 27
- T-cell and B-cell Immunology 8
- Immune Response and Inflammation 7
- Epidemiology 23
- Influenza Virus Research Studies 18
- Respiratory viral infections research 13
- Co-authors
- Jason T. Kimata (11 shared papers)Abner Louis Notkins (7 shared papers)Deepanker Tewari (6 shared papers)Chella S. David (8 shared papers)Chaobaihui Ye (5 shared papers)Weiming Wang (3 shared papers)Krishnakumar Devadas (4 shared papers)Di Zhang (1 shared paper)
- Journals
- Journal of Virology (15 papers)The Journal of Immunology (5 papers)PLoS ONE (5 papers)Immunobiology (4 papers)Immunogenetics (3 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Paul Zhou
69 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 81
- Virology 384
- Immunology 571
- Parasitology 146
- Infectious Diseases 264
- Business and International Management 26
Countries citing papers authored by Paul Zhou
This map shows the geographic impact of Paul Zhou'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 Paul Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Zhou more than expected).
Fields of papers citing papers by Paul Zhou
This network shows the impact of papers produced by Paul Zhou. 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 Paul Zhou. The network helps show where Paul Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Paul Zhou, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 179 | |
| 2 | 2014 | 156 | |
| 3 | 1997 | 92 | |
| 4 | 2012 | 61 | |
| 5 | 2017 | 54 | |
| 6 | 2009 | 46 | |
| 7 | 2012 | 41 | |
| 8 | 1996 | 39 | |
| 9 | 2018 | 38 | |
| 10 | 2015 | 38 | |
| 11 | 2012 | 37 | |
| 12 | 1993 | 36 | |
| 13 | 1998 | 35 | |
| 14 | 2011 | 35 | |
| 15 | 1991 | 30 | |
| 16 | 2011 | 29 | |
| 17 | 1993 | 29 | |
| 18 | 2010 | 26 | |
| 19 | 2016 | 26 | |
| 20 | 1998 | 26 |
About Paul Zhou
Paul Zhou is a scholar working on Immunology, Epidemiology, Virology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 1.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (27 papers), HIV Research and Treatment (22 papers), Influenza Virus Research Studies (18 papers), Respiratory viral infections research (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), T-cell and B-cell Immunology (8 papers), Immune Response and Inflammation (7 papers) and Virus-based gene therapy research (6 papers). The work is most often cited by research in Virology (384 citations), Immunology (571 citations), Parasitology (146 citations), Infectious Diseases (264 citations) and Business and International Management (26 citations). Paul Zhou has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jason T. Kimata, Abner Louis Notkins, Deepanker Tewari, Chella S. David, Chaobaihui Ye, Weiming Wang, Krishnakumar Devadas, Di Zhang, Jingjing Liu and Simoy Goldstein. Their work appears in journals such as Journal of Virology, The Journal of Immunology, PLoS ONE, Immunobiology and Immunogenetics.
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.