Jing‐Song Fan
- Molecular Biology top 10%
- Cell Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Biomaterials top 10%
- Co-authors
- Mingjie ZhangDaiwen YangHidehito TochioMorgan ShengP. PaladePhilip PaladeKevin W.‐H. LoQiang Zhang
- Topics
- Protein Structure and Dynamics (12 papers)Cardiac electrophysiology and arrhythmias (8 papers)Ion channel regulation and function (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNucleic Acids Research
- Partner nations
- SingaporeUnited StatesHong Kong
In The Last Decade
Jing‐Song Fan
58 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.2k
- Cell Biology 435
- Cellular and Molecular Neuroscience 359
- Cardiology and Cardiovascular Medicine 238
- Biomaterials 112
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 of co-authors of Jing‐Song Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Jing‐Song Fan. A scholar is included among the top collaborators of Jing‐Song Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing‐Song Fan. Jing‐Song Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 21 | |
| 7 | 8 | |
| 8 | 12 | |
| 9 | 7 | |
| 10 | 7 | |
| 11 | 22 | |
| 12 | 36 | |
| 13 | 18 | |
| 14 | 115 | |
| 15 | 33 | |
| 16 | 117 | |
| 17 | 27 | |
| 18 | 44 | |
| 19 | 90 | |
| 20 | 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) and Ion channel regulation and function (8 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.