Jun Wan
Impact in
- Geriatrics and Gerontology top 2%
- Molecular Biology top 2%
- Epigenetics and DNA Methylation
- Retinal Development and Disorders
- RNA modifications and cancer
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
Papers in
-
- Epigenetics and DNA Methylation 23
- RNA modifications and cancer 15
- Cancer-related gene regulation 13
- Retinal Development and Disorders 13
- RNA Research and Splicing 9
- Oncology 30
- Cancer Cells and Metastasis 7
- Co-authors
- Jiang Qian (36 shared papers)Sheng Liu (43 shared papers)Heng Zhu (16 shared papers)Chun Zhang (3 shared papers)Jian Zi (3 shared papers)Donald J. Zack (16 shared papers)Guohua Wang (8 shared papers)Shannath L. Merbs (6 shared papers)
- Journals
- PLoS ONE (5 papers)Nucleic Acids Research (5 papers)Investigative Ophthalmology & Visual Science (4 papers)Cancer Research (4 papers)Acta Pharmaceutica Sinica B (3 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jun Wan
173 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 147
- Geriatrics and Gerontology 125
- Molecular Biology 2.5k
- Cancer Research 494
- Ophthalmology 194
- Oncology 566
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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 263 | |
| 2 | 2009 | 248 | |
| 3 | 2004 | 235 | |
| 4 | 2000 | 133 | |
| 5 | 2015 | 129 | |
| 6 | 2019 | 126 | |
| 7 | 1998 | 119 | |
| 8 | 2019 | 114 | |
| 9 | 2015 | 106 | |
| 10 | 2019 | 97 | |
| 11 | 2010 | 95 | |
| 12 | 2007 | 89 | |
| 13 | 2014 | 88 | |
| 14 | 2021 | 81 | |
| 15 | 2017 | 81 | |
| 16 | 2015 | 71 | |
| 17 | 2014 | 66 | |
| 18 | 2018 | 63 | |
| 19 | 2020 | 58 | |
| 20 | 2021 | 58 |
About Jun Wan
Jun Wan is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 184 papers that have together received 4.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (23 papers), RNA modifications and cancer (15 papers), Cancer-related gene regulation (13 papers), Retinal Development and Disorders (13 papers), Immune cells in cancer (11 papers), RNA Research and Splicing (9 papers), Cancer-related molecular mechanisms research (8 papers) and Cancer Cells and Metastasis (7 papers). The work is most often cited by research in Geriatrics and Gerontology (125 citations), Molecular Biology (2.5k citations), Cancer Research (494 citations), Ophthalmology (194 citations) and Oncology (566 citations). Jun Wan has collaborated with scholars based in United States, China and France. Frequent co-authors include Jiang Qian, Sheng Liu, Heng Zhu, Chun Zhang, Jian Zi, Donald J. Zack, Guohua Wang, Shannath L. Merbs, F. Alex Feltus and C. Martijn de Sterke. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Investigative Ophthalmology & Visual Science, Cancer Research and Acta Pharmaceutica Sinica B.
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.