Li Jun Sun
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Developmental Neuroscience top 2%
Papers in
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- MicroRNA in disease regulation 24
- Cancer-related molecular mechanisms research 8
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- Extracellular vesicles in disease 35
- RNA Interference and Gene Delivery 9
- RNA modifications and cancer 8
- Co-authors
- David G. Meckes (15 shared papers)Daiming Fan (12 shared papers)Zhi‐Cheng Xiao (8 shared papers)Yongquan Shi (9 shared papers)Leanne C. Duke (9 shared papers)Lili Liu (10 shared papers)Changcun Guo (7 shared papers)Kaichun Wu (6 shared papers)
- Journals
- Pharmaceutics (5 papers)Cancer Science (4 papers)International Journal of Cancer (3 papers)Frontiers in Immunology (3 papers)Journal of Extracellular Vesicles (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Li Jun Sun
156 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 1.2k
- Developmental Neuroscience 220
- Neurology 307
- Molecular Biology 2.6k
- Genetics 336
Countries citing papers authored by Li Jun Sun
This map shows the geographic impact of Li Jun Sun'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 Li Jun Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Jun Sun more than expected).
Fields of papers citing papers by Li Jun Sun
This network shows the impact of papers produced by Li Jun Sun. 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 Li Jun Sun. The network helps show where Li Jun Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Jun Sun, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 247 | |
| 2 | 2019 | 204 | |
| 3 | 2007 | 200 | |
| 4 | 2021 | 173 | |
| 5 | 2020 | 148 | |
| 6 | 2005 | 134 | |
| 7 | 2011 | 126 | |
| 8 | 2004 | 119 | |
| 9 | 2022 | 116 | |
| 10 | 2017 | 113 | |
| 11 | 2018 | 109 | |
| 12 | 2022 | 104 | |
| 13 | 2019 | 93 | |
| 14 | 2016 | 92 | |
| 15 | 2004 | 89 | |
| 16 | 2014 | 89 | |
| 17 | 2022 | 78 | |
| 18 | 2004 | 77 | |
| 19 | 2018 | 68 | |
| 20 | 2003 | 68 |
About Li Jun Sun
Li Jun Sun is a scholar working on Cancer Research, Molecular Biology, Immunology, Immunology and Allergy and Genetics, having authored 158 papers that have together received 5.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (35 papers), MicroRNA in disease regulation (24 papers), RNA Interference and Gene Delivery (9 papers), RNA modifications and cancer (8 papers), Immune Cell Function and Interaction (8 papers), Cancer-related molecular mechanisms research (8 papers), Cell Adhesion Molecules Research (8 papers) and Mesenchymal stem cell research (8 papers). The work is most often cited by research in Cancer Research (1.2k citations), Developmental Neuroscience (220 citations), Neurology (307 citations), Molecular Biology (2.6k citations) and Genetics (336 citations). Li Jun Sun has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include David G. Meckes, Daiming Fan, Zhi‐Cheng Xiao, Yongquan Shi, Leanne C. Duke, Lili Liu, Changcun Guo, Kaichun Wu, Yi Ren and Hongbo Zhang. Their work appears in journals such as Pharmaceutics, Cancer Science, International Journal of Cancer, Frontiers in Immunology and Journal of Extracellular Vesicles.
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.