Joan Wikman‐Coffelt
- Cardiology and Cardiovascular Medicine top 1%
- Molecular Biology top 10%
- Pathology and Forensic Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Physiology top 10%
- Co-authors
- William W. ParmleyDean T. MasonClaudia FennerRichard E. SieversD. T. MasonS T WuRobert R. TrautW.W. Parmley
- Topics
- Cardiac electrophysiology and arrhythmias (42 papers)Cardiomyopathy and Myosin Studies (40 papers)Cardiovascular Function and Risk Factors (33 papers)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Joan Wikman‐Coffelt
133 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 1.8k
- Molecular Biology 1.2k
- Pathology and Forensic Medicine 435
- Radiology, Nuclear Medicine and Imaging 358
- Physiology 259
Countries citing papers authored by Joan Wikman‐Coffelt
This map shows the geographic impact of Joan Wikman‐Coffelt'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 Joan Wikman‐Coffelt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Wikman‐Coffelt more than expected).
Fields of papers citing papers by Joan Wikman‐Coffelt
This network shows the impact of papers produced by Joan Wikman‐Coffelt. 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 Joan Wikman‐Coffelt. The network helps show where Joan Wikman‐Coffelt may publish in the future.
Co-authorship network of co-authors of Joan Wikman‐Coffelt
This figure shows the co-authorship network connecting the top 25 collaborators of Joan Wikman‐Coffelt. A scholar is included among the top collaborators of Joan Wikman‐Coffelt 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 Joan Wikman‐Coffelt. Joan Wikman‐Coffelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 9 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 3 | |
| 6 | 22 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 19 | |
| 11 | 13 | |
| 12 | 3 | |
| 13 | 18 | |
| 14 | 18 | |
| 15 | 19 | |
| 16 | 164 | |
| 17 | 17 | |
| 18 | Comparison of Mg2+ vs Ca2+, K+ and actin-activation of myosin after trinitrophenylation. | 2 |
| 19 | 2 | |
| 20 | 3 |
About Joan Wikman‐Coffelt
Joan Wikman‐Coffelt is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 134 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (42 papers), Cardiomyopathy and Myosin Studies (40 papers) and Cardiovascular Function and Risk Factors (33 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.8k citations), Pathology and Forensic Medicine (435 citations) and Molecular Biology (1.2k citations). Joan Wikman‐Coffelt has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include William W. Parmley, Dean T. Mason, Claudia Fenner, Richard E. Sievers, D. T. Mason, S T Wu, Robert R. Traut, W.W. Parmley, Shao T. Wu and Robert Zelis. 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.