Jun Cheng
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- Acute Ischemic Stroke Management
Papers in
- Hepatology 48
- Hepatitis C virus research 32
- Liver physiology and pathology 10
- Liver Disease and Transplantation 6
- Epidemiology 66
- Hepatitis B Virus Studies 43
- Liver Disease Diagnosis and Treatment 28
- Autophagy in Disease and Therapy 6
- Co-authors
- Lynne E. Maquat (2 shared papers)Dong Hui Zhao (2 shared papers)Jing Liu (2 shared papers)Mirjana Fogel‐Petrovic (1 shared paper)Shunai Liu (25 shared papers)Wei Wang (1 shared paper)Jiayi Sun (1 shared paper)Zhechun Zeng (1 shared paper)
- Journals
- Journal of Gastroenterology and Hepatology (6 papers)Hepatology International (6 papers)Journal of Viral Hepatitis (5 papers)Virology Journal (3 papers)Scientific Reports (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Cheng
124 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 124
- Hepatology 817
- Epidemiology 1.3k
- Geriatrics and Gerontology 48
- Cancer Research 142
- Molecular Biology 535
Countries citing papers authored by Jun Cheng
This map shows the geographic impact of Jun Cheng'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 Jun Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Cheng more than expected).
Fields of papers citing papers by Jun Cheng
This network shows the impact of papers produced by Jun Cheng. 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 Jun Cheng. The network helps show where Jun Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Cheng, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 312 | |
| 2 | 2017 | 216 | |
| 3 | 2016 | 165 | |
| 4 | 1990 | 144 | |
| 5 | 1994 | 117 | |
| 6 | 2015 | 112 | |
| 7 | 2008 | 93 | |
| 8 | 2018 | 92 | |
| 9 | 2013 | 68 | |
| 10 | 2013 | 64 | |
| 11 | 2012 | 54 | |
| 12 | 2010 | 46 | |
| 13 | 2017 | 43 | |
| 14 | 2010 | 40 | |
| 15 | 2016 | 38 | |
| 16 | 2016 | 37 | |
| 17 | 2015 | 36 | |
| 18 | 2006 | 36 | |
| 19 | 2017 | 36 | |
| 20 | 2017 | 36 |
About Jun Cheng
Jun Cheng is a scholar working on Hepatology, Epidemiology, Geriatrics and Gerontology, Cell Biology and Immunology, having authored 128 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (43 papers), Hepatitis C virus research (32 papers), Liver Disease Diagnosis and Treatment (28 papers), Liver physiology and pathology (10 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Autophagy in Disease and Therapy (6 papers), Liver Disease and Transplantation (6 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Hepatology (817 citations), Epidemiology (1.3k citations), Geriatrics and Gerontology (48 citations), Cancer Research (142 citations) and Molecular Biology (535 citations). Jun Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lynne E. Maquat, Dong Hui Zhao, Jing Liu, Mirjana Fogel‐Petrovic, Shunai Liu, Wei Wang, Jiayi Sun, Zhechun Zeng, Jun Liu and Zhaosu Wu. Their work appears in journals such as Journal of Gastroenterology and Hepatology, Hepatology International, Journal of Viral Hepatitis, Virology Journal and Scientific Reports.
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.