Jun Li
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 1%
- RNA modifications and cancer
- RNA Research and Splicing
- Circular RNAs in diseases
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
Papers in ⓘ
-
- RNA modifications and cancer 45
- Epigenetics and DNA Methylation 18
- Bioinformatics and Genomic Networks 16
- RNA Research and Splicing 15
- Gene expression and cancer classification 14
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- Cancer-related molecular mechanisms research 36
- Cancer Genomics and Diagnostics 15
- Co-authors
- Han Liang (18 shared papers)Leng Han (4 shared papers)Lingxiang Liu (2 shared papers)Yuan Yuan (2 shared papers)John N. Weinstein (2 shared papers)Lixia Diao (2 shared papers)Gordon B. Mills (11 shared papers)Paul Roebuck (2 shared papers)
- Journals
- Cancer Research (6 papers)Nature Communications (6 papers)Frontiers in Oncology (5 papers)Scientific Reports (5 papers)Tumor Biology (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Li
225 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Cancer Research 2.5k
- Molecular Biology 4.6k
- Pathology and Forensic Medicine 727
- Oncology 804
- Immunology 375
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 243 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Landscape of Somatic Retrotransposition in Human Cancers Hit paper breakdown → | 2012 | 532 |
| 2 | 2015 | 407 | |
| 3 | 2013 | 363 | |
| 4 | 2014 | 319 | |
| 5 | 2004 | 235 | |
| 6 | 2016 | 226 | |
| 7 | 2020 | 140 | |
| 8 | 2017 | 131 | |
| 9 | 2007 | 122 | |
| 10 | 2014 | 113 | |
| 11 | 2017 | 112 | |
| 12 | 2016 | 102 | |
| 13 | 2004 | 94 | |
| 14 | 2013 | 91 | |
| 15 | 2012 | 90 | |
| 16 | 2016 | 88 | |
| 17 | 2017 | 87 | |
| 18 | 2017 | 84 | |
| 19 | 2017 | 83 | |
| 20 | 2010 | 80 |
About Jun Li
Jun Li is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Spectroscopy, having authored 243 papers that have together received 6.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (45 papers), Cancer-related molecular mechanisms research (36 papers), Epigenetics and DNA Methylation (18 papers), Advanced Proteomics Techniques and Applications (16 papers), Bioinformatics and Genomic Networks (16 papers), RNA Research and Splicing (15 papers), Cancer Genomics and Diagnostics (15 papers) and Gene expression and cancer classification (14 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (4.6k citations), Pathology and Forensic Medicine (727 citations), Oncology (804 citations) and Immunology (375 citations). Jun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Han Liang, Leng Han, Lingxiang Liu, Yuan Yuan, John N. Weinstein, Lixia Diao, Gordon B. Mills, Paul Roebuck, Cyriac Kandoth and Yang Yang. Their work appears in journals such as Cancer Research, Nature Communications, Frontiers in Oncology, Scientific Reports and Tumor Biology.
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.