Jian Shan
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience
- Pathology and Forensic Medicine
- Cell Biology
- Co-authors
- Andrew R. MarksSteven ReikenMatthew J. BetzenhauserAlexander KushnirBi-Xing ChenAnetta WronskaGisèle BonneAntoine Muchir
- Topics
- Cardiac electrophysiology and arrhythmias (8 papers)Ion channel regulation and function (7 papers)Cardiovascular Function and Risk Factors (4 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationJournal of Clinical Investigation
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jian Shan
17 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Molecular Biology 765
- Cardiology and Cardiovascular Medicine 733
- Cellular and Molecular Neuroscience 120
- Pathology and Forensic Medicine 74
- Cell Biology 62
Countries citing papers authored by Jian Shan
This map shows the geographic impact of Jian Shan'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 Jian Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Shan more than expected).
Fields of papers citing papers by Jian Shan
This network shows the impact of papers produced by Jian Shan. 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 Jian Shan. The network helps show where Jian Shan may publish in the future.
Co-authorship network of co-authors of Jian Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Shan. A scholar is included among the top collaborators of Jian Shan 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 Jian Shan. Jian Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 18 | |
| 3 | 51 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 157 | |
| 8 | 0 | |
| 9 | 94 | |
| 10 | 142 | |
| 11 | 51 | |
| 12 | 182 | |
| 13 | 3 | |
| 14 | 104 | |
| 15 | 139 | |
| 16 | Abstract 2726: Atrial Fibrillation in Two Mouse Models With Human CPVT Ryanodine Receptor Mutations | 1 |
| 17 | 46 | |
| 18 | 70 |
About Jian Shan
Jian Shan is a scholar working on Cardiology and Cardiovascular Medicine, Geriatrics and Gerontology and Molecular Biology, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Ion channel regulation and function (7 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (733 citations), Molecular Biology (765 citations) and Cellular and Molecular Neuroscience (120 citations). Jian Shan has collaborated with scholars based in United States, China and France. Frequent co-authors include Andrew R. Marks, Steven Reiken, Matthew J. Betzenhauser, Alexander Kushnir, Bi-Xing Chen, Anetta Wronska, Gisèle Bonne, Antoine Muchir, Wei Wu and Howard J. Worman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and Journal of Clinical Investigation.
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.