Katherine A. Sheehan
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 2%
- Cellular and Molecular Neuroscience top 10%
- Surgery
- Pathology and Forensic Medicine
- Co-authors
- Beata M. WolskaWilliam E. LouchLothar A. BlatterStephen L. LipsiusJörg HüserJens KockskämperAleksey V. ZimaYunbo Ke
- Topics
- Ion channel regulation and function (13 papers)Cardiac electrophysiology and arrhythmias (11 papers)Cardiomyopathy and Myosin Studies (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsCellular and Molecular Neuroscience
- Partner nations
- United StatesUnited KingdomNorway
In The Last Decade
Katherine A. Sheehan
18 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 843
- Cardiology and Cardiovascular Medicine 825
- Cellular and Molecular Neuroscience 224
- Surgery 97
- Pathology and Forensic Medicine 70
Countries citing papers authored by Katherine A. Sheehan
This map shows the geographic impact of Katherine A. Sheehan'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 Katherine A. Sheehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katherine A. Sheehan more than expected).
Fields of papers citing papers by Katherine A. Sheehan
This network shows the impact of papers produced by Katherine A. Sheehan. 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 Katherine A. Sheehan. The network helps show where Katherine A. Sheehan may publish in the future.
Co-authorship network of co-authors of Katherine A. Sheehan
This figure shows the co-authorship network connecting the top 25 collaborators of Katherine A. Sheehan. A scholar is included among the top collaborators of Katherine A. Sheehan 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 Katherine A. Sheehan. Katherine A. Sheehan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Associationbreakdown → | 106 |
| 2 | 17 | |
| 3 | 56 | |
| 4 | 380 | |
| 5 | 12 | |
| 6 | 12 | |
| 7 | 14 | |
| 8 | 36 | |
| 9 | 39 | |
| 10 | 36 | |
| 11 | 23 | |
| 12 | 20 | |
| 13 | 61 | |
| 14 | 142 | |
| 15 | 2 | |
| 16 | 110 | |
| 17 | 161 | |
| 18 | 8 |
About Katherine A. Sheehan
Katherine A. Sheehan is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), Cardiac electrophysiology and arrhythmias (11 papers) and Cardiomyopathy and Myosin Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (825 citations), Health Informatics (36 citations) and Cellular and Molecular Neuroscience (224 citations). Katherine A. Sheehan has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Beata M. Wolska, William E. Louch, Lothar A. Blatter, Stephen L. Lipsius, Jörg Hüser, Jens Kockskämper, Aleksey V. Zima, Yunbo Ke, R. John Solaro and Yong Gao Wang. Their work appears in journals such as Circulation, The Journal of Physiology and Biophysical Journal.
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.