Long‐Sheng Song
- Molecular Biology top 0.5%
- Cardiology and Cardiovascular Medicine top 0.2%
- Cellular and Molecular Neuroscience top 0.5%
- Cell Biology top 2%
- Physiology top 5%
- Co-authors
- Heping ChengEdward G. LakattaBiyi ChenAng GuoMark E. AndersonSílvia GuatimosimW. Jonathan LedererPeter J. Mohler
- Topics
- Cardiac electrophysiology and arrhythmias (72 papers)Ion channel regulation and function (58 papers)Neuroscience and Neural Engineering (14 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Long‐Sheng Song
118 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 6.3k
- Cardiology and Cardiovascular Medicine 5.6k
- Cellular and Molecular Neuroscience 2.0k
- Cell Biology 635
- Physiology 449
Countries citing papers authored by Long‐Sheng Song
This map shows the geographic impact of Long‐Sheng Song'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 Long‐Sheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Sheng Song more than expected).
Fields of papers citing papers by Long‐Sheng Song
This network shows the impact of papers produced by Long‐Sheng Song. 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 Long‐Sheng Song. The network helps show where Long‐Sheng Song may publish in the future.
Co-authorship network of co-authors of Long‐Sheng Song
This figure shows the co-authorship network connecting the top 25 collaborators of Long‐Sheng Song. A scholar is included among the top collaborators of Long‐Sheng Song 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 Long‐Sheng Song. Long‐Sheng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 86 | |
| 10 | 45 | |
| 11 | 43 | |
| 12 | 1 | |
| 13 | Abstract 14037: Angiotensin II Promotes Atrial Fibrillation in Mice by CaMKII Oxidation | 1 |
| 14 | 302 | |
| 15 | 61 | |
| 16 | 109 | |
| 17 | 99 | |
| 18 | 435 | |
| 19 | 65 | |
| 20 | The central distribution of adrenomedullin and its effects on blood pressure and heart rate in rats. | 9 |
About Long‐Sheng Song
Long‐Sheng Song is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 122 papers that have together received 8.3k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (72 papers), Ion channel regulation and function (58 papers) and Neuroscience and Neural Engineering (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.6k citations), Cellular and Molecular Neuroscience (2.0k citations) and Molecular Biology (6.3k citations). Long‐Sheng Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Heping Cheng, Edward G. Lakatta, Biyi Chen, Ang Guo, Mark E. Anderson, Sílvia Guatimosim, W. Jonathan Lederer, Peter J. Mohler, Michael D. Stern and Shi‐Qiang Wang. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.