Ji Zhou
Impact in
- Virology top 1%
- HIV Research and Treatment
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Immunology 14
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 3
- Co-authors
- David C. Montefiori (7 shared papers)Jin Tao Zhou (3 shared papers)Anthony S. Fauci (2 shared papers)Giuseppe Pantaleo (2 shared papers)Dani P. Bolognesi (3 shared papers)Miroslawa Bilska (2 shared papers)Oren J. Cohen (1 shared paper)G. Diego Miralles (1 shared paper)
- Journals
- Journal of Virology (4 papers)Cell Death and Disease (2 papers)Experimental Cell Research (2 papers)The Journal of Infectious Diseases (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ji Zhou
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Virology 678
- Immunology 578
- Infectious Diseases 338
- Cancer Research 103
- Epidemiology 234
Countries citing papers authored by Ji Zhou
This map shows the geographic impact of Ji 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 Ji Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Zhou more than expected).
Fields of papers citing papers by Ji Zhou
This network shows the impact of papers produced by Ji 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 Ji Zhou. The network helps show where Ji Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 268 | |
| 2 | 1996 | 206 | |
| 3 | 1994 | 111 | |
| 4 | 2019 | 74 | |
| 5 | 1998 | 68 | |
| 6 | 1992 | 57 | |
| 7 | 2018 | 56 | |
| 8 | 1998 | 37 | |
| 9 | 2022 | 35 | |
| 10 | 1993 | 31 | |
| 11 | 2021 | 28 | |
| 12 | 2021 | 21 | |
| 13 | 2016 | 19 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2022 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 2 |
About Ji Zhou
Ji Zhou is a scholar working on Immunology, Molecular Biology, Virology, Epidemiology and Infectious Diseases, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Immunotherapy and Immune Responses (6 papers), Immune Cell Function and Interaction (5 papers), Cytomegalovirus and herpesvirus research (3 papers), Immune Response and Inflammation (3 papers), MicroRNA in disease regulation (2 papers), HIV/AIDS Research and Interventions (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Virology (678 citations), Immunology (578 citations), Infectious Diseases (338 citations), Cancer Research (103 citations) and Epidemiology (234 citations). Ji Zhou has collaborated with scholars based in China, United States and Italy. Frequent co-authors include David C. Montefiori, Jin Tao Zhou, Anthony S. Fauci, Giuseppe Pantaleo, Dani P. Bolognesi, Miroslawa Bilska, Oren J. Cohen, G. Diego Miralles, Jinping Zhang and Philip R. Johnson. Their work appears in journals such as Journal of Virology, Cell Death and Disease, Experimental Cell Research, The Journal of Infectious Diseases and Proceedings of the National Academy of Sciences.
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.