Lei Jin
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Liver physiology and pathology
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Inflammasome and immune disorders 3
- Epidemiology 14
- Hepatitis B Virus Studies 9
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Zheng Zhang (15 shared papers)Junliang Fu (11 shared papers)Fu‐Sheng Wang (12 shared papers)Ming Shi (8 shared papers)Zhengsheng Zou (6 shared papers)Ruonan Xu (5 shared papers)Ji‐Yuan Zhang (4 shared papers)Fang Lin (3 shared papers)
- Journals
- Cancer Management and Research (4 papers)Medicine (3 papers)Journal of Biological Chemistry (3 papers)Molecules and Cells (2 papers)Clinical Immunology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lei Jin
73 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 119
- Hepatology 518
- Immunology 489
- Genetics 197
- Epidemiology 602
- Cancer Research 244
Countries citing papers authored by Lei Jin
This map shows the geographic impact of Lei Jin'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 Lei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Jin more than expected).
Fields of papers citing papers by Lei Jin
This network shows the impact of papers produced by Lei Jin. 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 Lei Jin. The network helps show where Lei Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Jin, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 317 | |
| 2 | 2012 | 278 | |
| 3 | 2016 | 131 | |
| 4 | 2016 | 116 | |
| 5 | 2005 | 90 | |
| 6 | 2014 | 89 | |
| 7 | 2004 | 89 | |
| 8 | 2015 | 87 | |
| 9 | 2000 | 87 | |
| 10 | 2000 | 85 | |
| 11 | 2008 | 84 | |
| 12 | 2018 | 80 | |
| 13 | 2009 | 80 | |
| 14 | 2014 | 70 | |
| 15 | 2019 | 64 | |
| 16 | 2022 | 58 | |
| 17 | 2004 | 52 | |
| 18 | 2005 | 46 | |
| 19 | 2013 | 46 | |
| 20 | 2009 | 38 |
About Lei Jin
Lei Jin is a scholar working on Molecular Biology, Epidemiology, Immunology, Oncology and Hepatology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), MicroRNA in disease regulation (6 papers), Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Inflammasome and immune disorders (3 papers) and Bone health and treatments (3 papers). The work is most often cited by research in Hepatology (518 citations), Immunology (489 citations), Genetics (197 citations), Epidemiology (602 citations) and Cancer Research (244 citations). Lei Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng Zhang, Junliang Fu, Fu‐Sheng Wang, Ming Shi, Zhengsheng Zou, Ruonan Xu, Ji‐Yuan Zhang, Fang Lin, David Meltzer and Chad Whelan. Their work appears in journals such as Cancer Management and Research, Medicine, Journal of Biological Chemistry, Molecules and Cells and Clinical Immunology.
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.