Li Jun Sun
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 2%
- Extracellular vesicles in disease
- Single-cell and spatial transcriptomics
Papers in
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- Extracellular vesicles in disease 32
-
- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 4
- 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)Changcun Guo (7 shared papers)Lili Liu (10 shared papers)Kaichun Wu (6 shared papers)
- Journals
- Pharmaceutics (5 papers)Cancer Science (4 papers)Journal of Extracellular Vesicles (3 papers)International Journal of Cancer (3 papers)Cells (3 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Li Jun Sun
154 papers receiving 5.2k citations
Peers
Comparison fields: 5 of 102
- Cancer Research 465
- Molecular Biology 1.4k
- Developmental Neuroscience 50
- Pathology and Forensic Medicine 331
- Molecular Medicine 109
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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 250 | |
| 2 | 2019 | 205 | |
| 3 | 2007 | 200 | |
| 4 | 2021 | 178 | |
| 5 | 2020 | 149 | |
| 6 | 2005 | 132 | |
| 7 | 2011 | 128 | |
| 8 | 2004 | 120 | |
| 9 | 2022 | 116 | |
| 10 | 2017 | 114 | |
| 11 | 2018 | 109 | |
| 12 | 2022 | 106 | |
| 13 | 2019 | 94 | |
| 14 | 2016 | 93 | |
| 15 | 2004 | 89 | |
| 16 | 2014 | 89 | |
| 17 | 2004 | 78 | |
| 18 | 2022 | 78 | |
| 19 | 2018 | 69 | |
| 20 | 2003 | 68 |
About Li Jun Sun
Li Jun Sun is a scholar working on Molecular Biology, Cancer Research, Immunology, Developmental Neuroscience and Hematology, having authored 155 papers that have together received 5.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (32 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Spinal Cord Injury Research (3 papers), Osteoarthritis Treatment and Mechanisms (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Cancer Research (465 citations), Molecular Biology (1.4k citations), Developmental Neuroscience (50 citations), Pathology and Forensic Medicine (331 citations) and Molecular Medicine (109 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, Changcun Guo, Lili Liu, Kaichun Wu, Yi Ren and Gavin Stewart Dawe. Their work appears in journals such as Pharmaceutics, Cancer Science, Journal of Extracellular Vesicles, International Journal of Cancer and Cells.
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.