John Zhong
Impact in
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
-
- Bacillus and Francisella bacterial research 3
- Receptor Mechanisms and Signaling 1
-
- Multiple Sclerosis Research Studies 3
- Co-authors
- William W. Freimuth (3 shared papers)Winn Chatham (2 shared papers)W. Joseph McCune (2 shared papers)William Stohl (2 shared papers)Wendy Cai (3 shared papers)Marc Chévrier (1 shared paper)Michelle Petri (1 shared paper)Arthur Weinstein (2 shared papers)
- Journals
- Clinical Infectious Diseases (1 paper)Hepatology (1 paper)Toxicological Sciences (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)Value in Health (1 paper)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
John Zhong
12 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 76
- Rheumatology 450
- Immunology 421
- Radiology, Nuclear Medicine and Imaging 313
- Virology 62
- Biotechnology 65
Countries citing papers authored by John Zhong
This map shows the geographic impact of John Zhong'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 John Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Zhong more than expected).
Fields of papers citing papers by John Zhong
This network shows the impact of papers produced by John Zhong. 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 John Zhong. The network helps show where John Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside John Zhong, 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 | 2008 | 333 | |
| 2 | 2008 | 208 | |
| 3 | 2009 | 207 | |
| 4 | 2006 | 114 | |
| 5 | 2005 | 75 | |
| 6 | 2008 | 58 | |
| 7 | 2015 | 44 | |
| 8 | 2014 | 32 | |
| 9 | 2016 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2003 | 2 | |
| 12 | 2014 | 1 |
About John Zhong
John Zhong is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Rheumatology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (3 papers), Bacillus and Francisella bacterial research (3 papers), Systemic Lupus Erythematosus Research (3 papers), Powdery Mildew Fungal Diseases (1 paper), Receptor Mechanisms and Signaling (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Bacterial Genetics and Biotechnology (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Rheumatology (450 citations), Immunology (421 citations), Radiology, Nuclear Medicine and Imaging (313 citations), Virology (62 citations) and Biotechnology (65 citations). John Zhong has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include William W. Freimuth, Winn Chatham, W. Joseph McCune, William Stohl, Wendy Cai, Marc Chévrier, Michelle Petri, Arthur Weinstein, G. Mani Subramanian and Sally D. Bolmer. Their work appears in journals such as Clinical Infectious Diseases, Hepatology, Toxicological Sciences, Antimicrobial Agents and Chemotherapy and Value in Health.
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.