Jun Li
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Genetics top 1%
- Mesenchymal stem cell research
Papers in
- Hepatology 58
- Liver Disease and Transplantation 30
- Liver physiology and pathology 19
- Genetics 25
- Mesenchymal stem cell research 24
- Co-authors
- Lanjuan Li (31 shared papers)Cao Hongcui (30 shared papers)Guilherme Alves Lepski (1 shared paper)Jiaojiao Xin (30 shared papers)Changyou Gao (7 shared papers)John D. Mountz (1 shared paper)Hui‐Chen Hsu (1 shared paper)Longyan Jiang (13 shared papers)
- Journals
- Scientific Reports (11 papers)PLoS ONE (9 papers)Frontiers in Medicine (8 papers)Gut (7 papers)Liver International (6 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Li
487 papers receiving 10.7k citations
Jun Li's Hit Papers
Peers
Comparison fields: 5 of 148
- Hepatology 1.0k
- Genetics 527
- Cancer Research 434
- Geriatrics and Gerontology 85
- Rheumatology 343
Countries citing papers authored by Jun Li
This map shows the geographic impact of Jun Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Li more than expected).
Fields of papers citing papers by Jun Li
This network shows the impact of papers produced by Jun Li. 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 Li. The network helps show where Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Li, 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 516 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Development of diagnostic criteria and a prognostic score for hepatitis B virus-related acute-on-chronic liver failure Hit paper breakdown → | 2017 | 326 |
| 2 | 2019 | 183 | |
| 3 | 2019 | 181 | |
| 4 | 2007 | 140 | |
| 5 | 2018 | 136 | |
| 6 | 2007 | 132 | |
| 7 | 2012 | 132 | |
| 8 | 2018 | 130 | |
| 9 | 2013 | 122 | |
| 10 | 2013 | 110 | |
| 11 | Wnt signaling pathways in biology and disease: mechanisms and therapeutic advances Hit paper breakdown → | 2025 | 109 |
| 12 | 2022 | 106 | |
| 13 | 2020 | 103 | |
| 14 | 2022 | 103 | |
| 15 | 2017 | 102 | |
| 16 | 2021 | 102 | |
| 17 | 2012 | 100 | |
| 18 | 2011 | 99 | |
| 19 | 2018 | 99 | |
| 20 | 2012 | 98 |
About Jun Li
Jun Li is a scholar working on Hepatology, Genetics, Epidemiology, Cancer Research and Surgery, having authored 516 papers that have together received 10.9k indexed citations. Recurring topics across this work include Liver Disease and Transplantation (30 papers), Mesenchymal stem cell research (24 papers), MicroRNA in disease regulation (20 papers), Hepatitis B Virus Studies (19 papers), Liver physiology and pathology (19 papers), Tissue Engineering and Regenerative Medicine (15 papers), Tuberculosis Research and Epidemiology (14 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Hepatology (1.0k citations), Genetics (527 citations), Cancer Research (434 citations), Geriatrics and Gerontology (85 citations) and Rheumatology (343 citations). Jun Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lanjuan Li, Cao Hongcui, Guilherme Alves Lepski, Jiaojiao Xin, Changyou Gao, John D. Mountz, Hui‐Chen Hsu, Longyan Jiang, Hongwei Ouyang and Ming‐Guang Feng. Their work appears in journals such as Scientific Reports, PLoS ONE, Frontiers in Medicine, Gut and Liver International.
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.