William Kutschke
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Robert M. WeissKathy ZimmermanMark E. AndersonJoseph A. HillXiaoqun GuanJinying YangMei-ling A. JoinerPeter J. Mohler
- Topics
- Cardiac electrophysiology and arrhythmias (9 papers)Signaling Pathways in Disease (7 papers)Ion channel regulation and function (7 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
William Kutschke
33 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.8k
- Cardiology and Cardiovascular Medicine 1.6k
- Physiology 297
- Cellular and Molecular Neuroscience 260
- Pathology and Forensic Medicine 249
Countries citing papers authored by William Kutschke
This map shows the geographic impact of William Kutschke'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 William Kutschke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Kutschke more than expected).
Fields of papers citing papers by William Kutschke
This network shows the impact of papers produced by William Kutschke. 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 William Kutschke. The network helps show where William Kutschke may publish in the future.
Co-authorship network of co-authors of William Kutschke
This figure shows the co-authorship network connecting the top 25 collaborators of William Kutschke. A scholar is included among the top collaborators of William Kutschke 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 William Kutschke. William Kutschke 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 | 20 | |
| 3 | 61 | |
| 4 | 45 | |
| 5 | 17 | |
| 6 | 18 | |
| 7 | 34 | |
| 8 | 19 | |
| 9 | 35 | |
| 10 | 58 | |
| 11 | 107 | |
| 12 | 86 | |
| 13 | 30 | |
| 14 | 191 | |
| 15 | 45 | |
| 16 | 114 | |
| 17 | 195 | |
| 18 | 42 | |
| 19 | A Dynamic Pathway for Calcium-Independent Activation of CaMKII by Methionine Oxidationbreakdown → | 881 |
| 20 | 57 |
About William Kutschke
William Kutschke is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (9 papers), Signaling Pathways in Disease (7 papers) and Ion channel regulation and function (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Molecular Biology (1.8k citations) and Aging (26 citations). William Kutschke has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert M. Weiss, Kathy Zimmerman, Mark E. Anderson, Joseph A. Hill, Xiaoqun Guan, Jinying Yang, Mei-ling A. Joiner, Peter J. Mohler, Douglas R. Spitz and Zhengyi Wang. 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.