Rui-Ping Xiao
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Pathology and Forensic Medicine top 5%
- Physiology top 5%
- Co-authors
- Edward G. LakattaHeping ChengYing-Ying ZhouWeizhong ZhuMichael T. CrowDongmei YangShi‐Qiang WangKhalid Chakir
- Topics
- Receptor Mechanisms and Signaling (24 papers)Cardiac electrophysiology and arrhythmias (22 papers)Ion channel regulation and function (21 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Rui-Ping Xiao
44 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 3.3k
- Cardiology and Cardiovascular Medicine 2.2k
- Cellular and Molecular Neuroscience 882
- Pathology and Forensic Medicine 409
- Physiology 368
Countries citing papers authored by Rui-Ping Xiao
This map shows the geographic impact of Rui-Ping Xiao'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 Rui-Ping Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui-Ping Xiao more than expected).
Fields of papers citing papers by Rui-Ping Xiao
This network shows the impact of papers produced by Rui-Ping Xiao. 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 Rui-Ping Xiao. The network helps show where Rui-Ping Xiao may publish in the future.
Co-authorship network of co-authors of Rui-Ping Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Rui-Ping Xiao. A scholar is included among the top collaborators of Rui-Ping Xiao 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 Rui-Ping Xiao. Rui-Ping Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 7 | |
| 4 | 30 | |
| 5 | 63 | |
| 6 | 11 | |
| 7 | 20 | |
| 8 | 70 | |
| 9 | 116 | |
| 10 | 222 | |
| 11 | 111 | |
| 12 | 127 | |
| 13 | 89 | |
| 14 | 295 | |
| 15 | 152 | |
| 16 | 28 | |
| 17 | 122 | |
| 18 | 143 | |
| 19 | 29 | |
| 20 | 28 |
About Rui-Ping Xiao
Rui-Ping Xiao is a scholar working on Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 4.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Cardiac electrophysiology and arrhythmias (22 papers) and Ion channel regulation and function (21 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.2k citations), Cellular and Molecular Neuroscience (882 citations) and Molecular Biology (3.3k citations). Rui-Ping Xiao has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Edward G. Lakatta, Heping Cheng, Ying-Ying Zhou, Weizhong Zhu, Michael T. Crow, Dongmei Yang, Shi‐Qiang Wang, Khalid Chakir, Harold A. Spurgeon and Sheng-Jun Zhang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.