Jinjun Li
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Hepatology top 1%
Papers in
-
- RNA modifications and cancer 20
- Ubiquitin and proteasome pathways 13
- Epigenetics and DNA Methylation 8
-
- Cancer, Hypoxia, and Metabolism 13
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 10
- Co-authors
- Ming Yao (60 shared papers)Chao Ge (58 shared papers)Jianren Gu (30 shared papers)Xianghuo He (40 shared papers)Taoyang Chen (48 shared papers)Mingxia Yan (14 shared papers)Fangyu Zhao (48 shared papers)Shenglin Huang (13 shared papers)
- Journals
- Hepatology (12 papers)Oncotarget (7 papers)Cancer Research (6 papers)Biochemical and Biophysical Research Communications (5 papers)Acta Biochimica et Biophysica Sinica (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jinjun Li
137 papers receiving 7.2k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 2.7k
- Hepatology 526
- Oncology 1.6k
- Molecular Biology 4.2k
- Cell Biology 432
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 138 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 491 | |
| 2 | 2009 | 386 | |
| 3 | 2005 | 369 | |
| 4 | 2010 | 268 | |
| 5 | 2010 | 221 | |
| 6 | 2015 | 196 | |
| 7 | 2009 | 190 | |
| 8 | 2008 | 188 | |
| 9 | 2017 | 179 | |
| 10 | 2017 | 177 | |
| 11 | 2018 | 173 | |
| 12 | 2010 | 154 | |
| 13 | 2018 | 153 | |
| 14 | 2011 | 151 | |
| 15 | 2005 | 146 | |
| 16 | 2008 | 133 | |
| 17 | 2013 | 118 | |
| 18 | 2014 | 113 | |
| 19 | 2011 | 108 | |
| 20 | 2011 | 106 |
About Jinjun Li
Jinjun Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Cell Biology, having authored 138 papers that have together received 7.2k indexed citations. Recurring topics across this work include RNA modifications and cancer (20 papers), Ubiquitin and proteasome pathways (13 papers), Cancer, Hypoxia, and Metabolism (13 papers), Cancer Cells and Metastasis (12 papers), MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (10 papers), Cancer-related Molecular Pathways (9 papers) and Epigenetics and DNA Methylation (8 papers). The work is most often cited by research in Cancer Research (2.7k citations), Hepatology (526 citations), Oncology (1.6k citations), Molecular Biology (4.2k citations) and Cell Biology (432 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 Acta Biochimica et Biophysica Sinica.
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.