Jun Fan
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Developmental Neuroscience top 10%
Papers in
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- Glycosylation and Glycoproteins Research 2
- Protein Tyrosine Phosphatases 2
- Circular RNAs in diseases 2
- Extracellular vesicles in disease 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Yingying Fang (3 shared papers)Shu-Ji Li (3 shared papers)Tao Tao (4 shared papers)Chenglin Lu (6 shared papers)Cong Luo (1 shared paper)Guozhong Zhang (3 shared papers)Songtao Qi (3 shared papers)Jun Pan (3 shared papers)
In The Last Decade
Jun Fan
19 papers receiving 573 citations
Peers
Comparison fields: 5 of 68
- Biological Psychiatry 68
- Developmental Neuroscience 48
- Behavioral Neuroscience 40
- Cancer Research 125
- Neurology 69
Countries citing papers authored by Jun Fan
This map shows the geographic impact of Jun Fan'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 Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fan more than expected).
Fields of papers citing papers by Jun Fan
This network shows the impact of papers produced by Jun Fan. 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 Fan. The network helps show where Jun Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 111 | |
| 2 | 2017 | 100 | |
| 3 | 2018 | 95 | |
| 4 | 2021 | 70 | |
| 5 | 2023 | 64 | |
| 6 | 2022 | 29 | |
| 7 | 2017 | 18 | |
| 8 | 2020 | 15 | |
| 9 | 2018 | 13 | |
| 10 | 2016 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2024 | 10 | |
| 13 | 2018 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2012 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2019 | 2 | |
| 18 | Identification and characterization of hepatocyte growth factor in counteracting tubular epithelial- myofibroblast transdifferentiation in renal interstitial fibrosis | 2005 | 1 |
| 19 | [The distribution of androgen receptor and its coexistence with gonadotropin releasing hormone receptor in rat submaxillary]. | 2002 | 1 |
About Jun Fan
Jun Fan is a scholar working on Molecular Biology, Cancer Research, Organic Chemistry, Epidemiology and Physiology, having authored 19 papers that have together received 575 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Tyrosine Phosphatases (2 papers), Circular RNAs in diseases (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Anesthesia and Neurotoxicity Research (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Biological Psychiatry (68 citations), Developmental Neuroscience (48 citations), Behavioral Neuroscience (40 citations), Cancer Research (125 citations) and Neurology (69 citations). Jun Fan has collaborated with scholars based in China, Rwanda and Singapore. Frequent co-authors include Yingying Fang, Shu-Ji Li, Tao Tao, Chenglin Lu, Cong Luo, Guozhong Zhang, Songtao Qi, Jun Pan, Si Gui and Xiong Cao. Their work appears in journals such as Frontiers in Molecular Neuroscience, Developmental Cell, Gene, Advanced Science and Journal of Hepatology.
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.