Jun Wan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 4
- Rheumatology 11
- Systemic Lupus Erythematosus Research 11
- Co-authors
- Wei Zhang (41 shared papers)Bo Yu (40 shared papers)Jie Pan (6 shared papers)Nana Ma (9 shared papers)Ming Guan (22 shared papers)Xiaoyang Ye (11 shared papers)Qi Wu (21 shared papers)Yi Xiong (17 shared papers)
- Journals
- Frontiers in Molecular Neuroscience (4 papers)Structure (4 papers)PLoS ONE (3 papers)Journal of Biological Chemistry (3 papers)Medical Oncology (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Jun Wan
98 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 818
- Neurology 211
- Immunology 315
- Oncology 329
- Molecular Biology 758
Countries citing papers authored by Jun Wan
This map shows the geographic impact of Jun Wan'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 Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wan more than expected).
Fields of papers citing papers by Jun Wan
This network shows the impact of papers produced by Jun Wan. 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 Wan. The network helps show where Jun Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Wan, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 301 | |
| 2 | 2010 | 198 | |
| 3 | 2020 | 141 | |
| 4 | 2010 | 120 | |
| 5 | 2020 | 113 | |
| 6 | 2013 | 104 | |
| 7 | 2019 | 98 | |
| 8 | 2012 | 94 | |
| 9 | 2013 | 77 | |
| 10 | 2020 | 69 | |
| 11 | 2003 | 67 | |
| 12 | 2013 | 65 | |
| 13 | 2014 | 61 | |
| 14 | 2019 | 61 | |
| 15 | 2017 | 60 | |
| 16 | 2018 | 52 | |
| 17 | 2017 | 51 | |
| 18 | 2008 | 50 | |
| 19 | 2016 | 49 | |
| 20 | 2018 | 48 |
About Jun Wan
Jun Wan is a scholar working on Cancer Research, Rheumatology, Molecular Biology, Cell Biology and Physiology, having authored 98 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Systemic Lupus Erythematosus Research (11 papers), Alzheimer's disease research and treatments (10 papers), Genomic variations and chromosomal abnormalities (7 papers), Circular RNAs in diseases (5 papers), Epigenetics and DNA Methylation (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (818 citations), Neurology (211 citations), Immunology (315 citations), Oncology (329 citations) and Molecular Biology (758 citations). Jun Wan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Zhang, Bo Yu, Jie Pan, Nana Ma, Ming Guan, Xiaoyang Ye, Qi Wu, Yi Xiong, Kepeng Wang and Yong Shao. Their work appears in journals such as Frontiers in Molecular Neuroscience, Structure, PLoS ONE, Journal of Biological Chemistry and Medical Oncology.
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.