Jing‐Song Fan
- Cell Biology top 5%
- Microtubule and mitosis dynamics 5
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- Neuroscience and Neuropharmacology Research 5
- Molecular Biology top 10%
- Protein Structure and Dynamics 12
- Ion channel regulation and function 8
- Glycosylation and Glycoproteins Research 5
- 14-3-3 protein interactions 5
- Biochemical and Structural Characterization 5
- Microbiology top 5%
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- Cardiac electrophysiology and arrhythmias 8
- Co-authors
- Mingjie ZhangDaiwen YangHidehito TochioMorgan ShengP. PaladePhilip PaladeKevin W.‐H. LoQiang Zhang
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)Nucleic Acids Research (2 papers)
- Partner nations
- SingaporeUnited StatesHong Kong
In The Last Decade
Jing‐Song Fan
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Cell Biology 435
- Cellular and Molecular Neuroscience 359
- Molecular Biology 1.2k
- Microbiology 75
- Cardiology and Cardiovascular Medicine 238
Countries citing papers authored by Jing‐Song Fan
This map shows the geographic impact of Jing‐Song 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 Jing‐Song Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Song Fan more than expected).
Fields of papers citing papers by Jing‐Song Fan
This network shows the impact of papers produced by Jing‐Song 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 Jing‐Song Fan. The network helps show where Jing‐Song Fan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing‐Song 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 | 2025 | 2 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 8 | |
| 8 | 2019 | 12 | |
| 9 | 2017 | 7 | |
| 10 | 2016 | 7 | |
| 11 | 2015 | 22 | |
| 12 | 2013 | 36 | |
| 13 | 2008 | 18 | |
| 14 | 2003 | 115 | |
| 15 | 2001 | 33 | |
| 16 | 2001 | 117 | |
| 17 | 2000 | 27 | |
| 18 | 1999 | 44 | |
| 19 | 1998 | 90 | |
| 20 | 1998 | 67 |
About Jing‐Song Fan
Jing‐Song Fan is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 58 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (8 papers), Glycosylation and Glycoproteins Research (5 papers), Microtubule and mitosis dynamics (5 papers), 14-3-3 protein interactions (5 papers), Neuroscience and Neuropharmacology Research (5 papers) and Biochemical and Structural Characterization (5 papers). The work is most often cited by research in Cell Biology (435 citations), Cellular and Molecular Neuroscience (359 citations) and Molecular Biology (1.2k citations). Jing‐Song Fan has collaborated with scholars based in Singapore, United States and Hong Kong. Frequent co-authors include Mingjie Zhang, Daiwen Yang, Hidehito Tochio, Morgan Sheng, P. Palade, Philip Palade, Kevin W.‐H. Lo, Qiang Zhang, Scott Naisbitt and Jiafu Long. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.
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.