Jun Li
Impact in
- Cancer Research top 0.2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- Oncology top 2%
- Cancer Cells and Metastasis
Papers in
-
- MicroRNA in disease regulation 56
- NF-κB Signaling Pathways 16
- Cancer-related molecular mechanisms research 10
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- Wnt/β-catenin signaling in development and cancer 11
- Circular RNAs in diseases 10
- Co-authors
- Libing Song (61 shared papers)Mengfeng Li (39 shared papers)Jueheng Wu (32 shared papers)Chuyong Lin (27 shared papers)Gregory W. Peet (4 shared papers)Chunping Yu (7 shared papers)Lili Jiang (9 shared papers)Mu‐Sheng Zeng (9 shared papers)
- Journals
- Cancer Research (9 papers)Journal of Biological Chemistry (8 papers)The Journal of Pathology (7 papers)Clinical Cancer Research (7 papers)Journal of Clinical Investigation (7 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Jun Li
224 papers receiving 10.7k citations
Jun Li's Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 3.7k
- Oncology 1.4k
- Molecular Biology 3.8k
- Genetics 375
- Hepatology 269
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 230 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 354 | |
| 2 | 2019 | 305 | |
| 3 | 2020 | 206 | |
| 4 | 2002 | 203 | |
| 5 | 2013 | 191 | |
| 6 | 2009 | 178 | |
| 7 | 2011 | 170 | |
| 8 | 2012 | 170 | |
| 9 | 2009 | 169 | |
| 10 | 2010 | 169 | |
| 11 | 2017 | 161 | |
| 12 | 2013 | 160 | |
| 13 | 2011 | 158 | |
| 14 | 2010 | 139 | |
| 15 | 2011 | 139 | |
| 16 | 2012 | 136 | |
| 17 | 2001 | 134 | |
| 18 | 2011 | 132 | |
| 19 | 2011 | 129 | |
| 20 | 2010 | 121 |
About Jun Li
Jun Li is a scholar working on Cancer Research, Molecular Biology, Oncology, Genetics and Hepatology, having authored 230 papers that have together received 10.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (56 papers), NF-κB Signaling Pathways (16 papers), Cancer Cells and Metastasis (16 papers), Glioma Diagnosis and Treatment (14 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Circular RNAs in diseases (10 papers) and Cancer-related molecular mechanisms research (10 papers). The work is most often cited by research in Cancer Research (3.7k citations), Oncology (1.4k citations), Molecular Biology (3.8k citations), Genetics (375 citations) and Hepatology (269 citations). Jun Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Libing Song, Mengfeng Li, Jueheng Wu, Chuyong Lin, Gregory W. Peet, Chunping Yu, Lili Jiang, Mu‐Sheng Zeng, Zhiqiang Wu and Yong He. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, The Journal of Pathology, Clinical Cancer Research and Journal of Clinical Investigation.
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.