Jinjun Li
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 1%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
Papers in
- Hepatology 41
- Hepatocellular Carcinoma Treatment and Prognosis 39
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 6
- Co-authors
- Ming Yao (58 shared papers)Chao Ge (57 shared papers)Jianren Gu (30 shared papers)Xianghuo He (37 shared papers)Taoyang Chen (46 shared papers)Mingxia Yan (14 shared papers)Fangyu Zhao (46 shared papers)Shenglin Huang (12 shared papers)
- Journals
- Hepatology (12 papers)Oncotarget (7 papers)Cancer Research (6 papers)Biochemical and Biophysical Research Communications (5 papers)Cancer Letters (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinjun Li
134 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 108
- Cancer Research 2.4k
- Hepatology 973
- Oncology 1.4k
- Molecular Biology 2k
- Biomaterials 235
Countries citing papers authored by Jinjun Li
This map shows the geographic impact of Jinjun 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 Jinjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinjun Li more than expected).
Fields of papers citing papers by Jinjun Li
This network shows the impact of papers produced by Jinjun 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 Jinjun Li. The network helps show where Jinjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinjun 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 136 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 494 | |
| 2 | 2009 | 396 | |
| 3 | 2005 | 378 | |
| 4 | 2010 | 274 | |
| 5 | 2008 | 256 | |
| 6 | 2010 | 221 | |
| 7 | 2015 | 199 | |
| 8 | 2009 | 193 | |
| 9 | 2008 | 190 | |
| 10 | 2017 | 190 | |
| 11 | 2017 | 181 | |
| 12 | 2018 | 158 | |
| 13 | 2011 | 156 | |
| 14 | 2010 | 155 | |
| 15 | 2005 | 145 | |
| 16 | 2008 | 133 | |
| 17 | 2013 | 119 | |
| 18 | 2014 | 114 | |
| 19 | 2011 | 110 | |
| 20 | 2011 | 108 |
About Jinjun Li
Jinjun Li is a scholar working on Hepatology, Cancer Research, Oncology, Molecular Biology and Cell Biology, having authored 136 papers that have together received 7.5k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (39 papers), Mechanisms of cancer metastasis (15 papers), MicroRNA in disease regulation (15 papers), Cancer Cells and Metastasis (13 papers), Cancer-related Molecular Pathways (7 papers), Cancer-related molecular mechanisms research (6 papers), Ubiquitin and proteasome pathways (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cancer Research (2.4k citations), Hepatology (973 citations), Oncology (1.4k citations), Molecular Biology (2k citations) and Biomaterials (235 citations). Jinjun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming Yao, Chao Ge, Jianren Gu, Xianghuo He, Taoyang Chen, Mingxia Yan, Fangyu Zhao, Shenglin Huang, Dafang Wan and Linhui Liang. Their work appears in journals such as Hepatology, Oncotarget, Cancer Research, Biochemical and Biophysical Research Communications and Cancer Letters.
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.