James W. Wisler
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Computational Theory and Mathematics top 5%
- Physiology
- Co-authors
- Robert J. LefkowitzSudha K. ShenoyErin J. WhalenMatthew T. DrakeJonathan D. ViolinSeungkirl AhnScott M. DeWireKunhong Xiao
- Topics
- Receptor Mechanisms and Signaling (9 papers)Neuropeptides and Animal Physiology (4 papers)Platelet Disorders and Treatments (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
James W. Wisler
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 1.1k
- Cellular and Molecular Neuroscience 622
- Cardiology and Cardiovascular Medicine 151
- Computational Theory and Mathematics 129
- Physiology 129
Countries citing papers authored by James W. Wisler
This map shows the geographic impact of James W. Wisler'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 James W. Wisler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James W. Wisler more than expected).
Fields of papers citing papers by James W. Wisler
This network shows the impact of papers produced by James W. Wisler. 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 James W. Wisler. The network helps show where James W. Wisler may publish in the future.
Co-authorship network of co-authors of James W. Wisler
This figure shows the co-authorship network connecting the top 25 collaborators of James W. Wisler. A scholar is included among the top collaborators of James W. Wisler 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 James W. Wisler. James W. Wisler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 41 | |
| 3 | 70 | |
| 4 | 7 | |
| 5 | 66 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 230 | |
| 9 | 6 | |
| 10 | 7 | |
| 11 | 4 | |
| 12 | 5 | |
| 13 | 53 | |
| 14 | 5 | |
| 15 | A unique mechanism of β-blocker action: Carvedilol stimulates β-arrestin signalingbreakdown → | 477 |
| 16 | 207 | |
| 17 | A unique mechanism of -blocker action: Carvedilol stimulates -arrestin signaling | 44 |
| 18 | 19 |
About James W. Wisler
James W. Wisler is a scholar working on Internal Medicine, Cellular and Molecular Neuroscience and Hematology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (4 papers) and Platelet Disorders and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (622 citations), Molecular Biology (1.1k citations) and Computational Theory and Mathematics (129 citations). James W. Wisler has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Robert J. Lefkowitz, Sudha K. Shenoy, Erin J. Whalen, Matthew T. Drake, Jonathan D. Violin, Seungkirl Ahn, Scott M. DeWire, Kunhong Xiao, A. Thomsen and Howard A. Rockman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.
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.