Ying-Ying Zhou
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Pathology and Forensic Medicine
- Co-authors
- Edward G. LakattaRui-Ping XiaoHeping ChengSheng-Jun ZhangRobert J. LefkowitzWalter J. KochTatiana M. VinogradovaAlexey E. Lyashkov
- Topics
- Ion channel regulation and function (9 papers)Cardiac electrophysiology and arrhythmias (7 papers)Receptor Mechanisms and Signaling (7 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Ying-Ying Zhou
13 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 1.1k
- Cardiology and Cardiovascular Medicine 812
- Cellular and Molecular Neuroscience 343
- Physiology 115
- Pathology and Forensic Medicine 101
Countries citing papers authored by Ying-Ying Zhou
This map shows the geographic impact of Ying-Ying Zhou'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 Ying-Ying Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ying Zhou more than expected).
Fields of papers citing papers by Ying-Ying Zhou
This network shows the impact of papers produced by Ying-Ying Zhou. 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 Ying-Ying Zhou. The network helps show where Ying-Ying Zhou may publish in the future.
Co-authorship network of co-authors of Ying-Ying Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Ying Zhou. A scholar is included among the top collaborators of Ying-Ying Zhou 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 Ying-Ying Zhou. Ying-Ying Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 222 | |
| 3 | 126 | |
| 4 | 28 | |
| 5 | 248 | |
| 6 | 46 | |
| 7 | 8 | |
| 8 | 143 | |
| 9 | 34 | |
| 10 | 108 | |
| 11 | 5 | |
| 12 | Coupling of β2-Adrenoceptor to GiProteins and Its Physiological Relevance in Murine Cardiac Myocytesbreakdown → | 317 |
| 13 | 29 |
About Ying-Ying Zhou
Ying-Ying Zhou is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Animal Science and Zoology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Receptor Mechanisms and Signaling (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (812 citations), Cellular and Molecular Neuroscience (343 citations) and Molecular Biology (1.1k citations). Ying-Ying Zhou has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Edward G. Lakatta, Rui-Ping Xiao, Heping Cheng, Sheng-Jun Zhang, Robert J. Lefkowitz, Walter J. Koch, Tatiana M. Vinogradova, Alexey E. Lyashkov, Shahab A. Akhter and Victor A. Maltsev. Their work appears in journals such as Journal of Biological Chemistry, Circulation and Circulation 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.