Jin Zhong
Impact in
- Hepatology top 0.2%
- Hepatitis C virus research
- Virology top 2%
- HIV Research and Treatment
Papers in
- Hepatology 68
- Hepatitis C virus research 68
- Epidemiology 55
- Hepatitis B Virus Studies 42
- Liver Disease Diagnosis and Treatment 17
- Co-authors
- Francis V. Chisari (6 shared papers)Guofeng Cheng (4 shared papers)Pablo Gastaminza (3 shared papers)Stefan Wieland (3 shared papers)Takaji Wakita (3 shared papers)Sharookh B. Kapadia (1 shared paper)Takanobu Kato (2 shared papers)Susan L. Uprichard (1 shared paper)
- Journals
- Journal of Virology (16 papers)Antiviral Research (8 papers)PLoS ONE (7 papers)Virology (6 papers)PLoS Pathogens (6 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jin Zhong
139 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hepatology 3.0k
- Virology 420
- Epidemiology 2.7k
- Immunology 1.4k
- Infectious Diseases 1.1k
Countries citing papers authored by Jin Zhong
This map shows the geographic impact of Jin 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 Jin Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Zhong more than expected).
Fields of papers citing papers by Jin Zhong
This network shows the impact of papers produced by Jin 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 Jin Zhong. The network helps show where Jin Zhong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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
Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Robust hepatitis C virus infection in vitro Hit paper breakdown → | 2005 | 1430 |
| 2 | 2007 | 358 | |
| 3 | 2006 | 211 | |
| 4 | 2001 | 160 | |
| 5 | 2013 | 145 | |
| 6 | 2007 | 132 | |
| 7 | 2008 | 132 | |
| 8 | 2015 | 125 | |
| 9 | 2021 | 117 | |
| 10 | 2003 | 111 | |
| 11 | 2014 | 104 | |
| 12 | 2006 | 97 | |
| 13 | 2008 | 91 | |
| 14 | 2015 | 87 | |
| 15 | 2012 | 84 | |
| 16 | 2014 | 83 | |
| 17 | 2006 | 80 | |
| 18 | 2015 | 78 | |
| 19 | 2014 | 73 | |
| 20 | 2014 | 72 |
About Jin Zhong
Jin Zhong is a scholar working on Hepatology, Epidemiology, Molecular Biology, Immunology and Infectious Diseases, having authored 146 papers that have together received 6.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (68 papers), Hepatitis B Virus Studies (42 papers), interferon and immune responses (30 papers), Viral Infections and Vectors (18 papers), Liver Disease Diagnosis and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Mosquito-borne diseases and control (13 papers) and HIV Research and Treatment (11 papers). The work is most often cited by research in Hepatology (3.0k citations), Virology (420 citations), Epidemiology (2.7k citations), Immunology (1.4k citations) and Infectious Diseases (1.1k citations). Jin Zhong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Francis V. Chisari, Guofeng Cheng, Pablo Gastaminza, Stefan Wieland, Takaji Wakita, Sharookh B. Kapadia, Takanobu Kato, Susan L. Uprichard, Dennis R. Burton and Yongfen Xu. Their work appears in journals such as Journal of Virology, Antiviral Research, PLoS ONE, Virology and PLoS Pathogens.
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.