Li Jin
Impact in
-
- Spine and Intervertebral Disc Pathology
- Hepatology top 5%
Papers in
- Epidemiology 18
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 6
- Co-authors
- Xudong Li (19 shared papers)Avril V. Somlyo (10 shared papers)Francis H. Shen (7 shared papers)Marie‐Louise Hammarskjöld (3 shared papers)David Rekosh (3 shared papers)Gary Balian (4 shared papers)Yeou-Cherng Bor (3 shared papers)Brian W. Guzik (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)PLoS ONE (3 papers)ACS Biomaterials Science & Engineering (3 papers)The Spine Journal (2 papers)Journal of Medical Virology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Li Jin
79 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Pathology and Forensic Medicine 338
- Hepatology 110
- Pharmacology 195
- Molecular Biology 683
- Cancer Research 138
Countries citing papers authored by Li Jin
This map shows the geographic impact of Li 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 Li Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Jin more than expected).
Fields of papers citing papers by Li Jin
This network shows the impact of papers produced by Li 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 Li Jin. The network helps show where Li Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 91 | |
| 2 | 2011 | 83 | |
| 3 | 2014 | 81 | |
| 4 | 2003 | 81 | |
| 5 | 2020 | 79 | |
| 6 | 2019 | 58 | |
| 7 | 2014 | 54 | |
| 8 | 2018 | 52 | |
| 9 | 2007 | 49 | |
| 10 | 2012 | 45 | |
| 11 | 1998 | 41 | |
| 12 | 2014 | 37 | |
| 13 | 2014 | 36 | |
| 14 | 2016 | 35 | |
| 15 | 2010 | 35 | |
| 16 | 2013 | 34 | |
| 17 | 2017 | 33 | |
| 18 | 1996 | 33 | |
| 19 | 2017 | 33 | |
| 20 | 2016 | 33 |
About Li Jin
Li Jin is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Pharmacology and Hepatology, having authored 82 papers that have together received 1.8k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (15 papers), Hepatitis B Virus Studies (13 papers), Musculoskeletal pain and rehabilitation (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Hepatitis C virus research (5 papers), Cell Adhesion Molecules Research (5 papers), Cellular Mechanics and Interactions (4 papers) and Cardiomyopathy and Myosin Studies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (338 citations), Hepatology (110 citations), Pharmacology (195 citations), Molecular Biology (683 citations) and Cancer Research (138 citations). Li Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xudong Li, Avril V. Somlyo, Francis H. Shen, Marie‐Louise Hammarskjöld, David Rekosh, Gary Balian, Yeou-Cherng Bor, Brian W. Guzik, Li Xiao and Tianyan Chen. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, ACS Biomaterials Science & Engineering, The Spine Journal and Journal of Medical Virology.
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.