Peter M. Kekenes–Huskey
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Biomedical Engineering
- Co-authors
- J. Andrew McCammonSteffen LindertBin SunChangsun EunAndrew D. McCullochJohan HakeVincent T. MetzgerAnushka Michailova
- Topics
- Protein Structure and Dynamics (24 papers)Ion channel regulation and function (17 papers)Cardiac electrophysiology and arrhythmias (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Chemical Physics
- Partner nations
- United StatesNorwayChina
In The Last Decade
Peter M. Kekenes–Huskey
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 117
- Molecular Biology 730
- Cardiology and Cardiovascular Medicine 405
- Cellular and Molecular Neuroscience 135
- Atomic and Molecular Physics, and Optics 121
- Biomedical Engineering 74
Countries citing papers authored by Peter M. Kekenes–Huskey
This map shows the geographic impact of Peter M. Kekenes–Huskey'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 Peter M. Kekenes–Huskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter M. Kekenes–Huskey more than expected).
Fields of papers citing papers by Peter M. Kekenes–Huskey
This network shows the impact of papers produced by Peter M. Kekenes–Huskey. 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 Peter M. Kekenes–Huskey. The network helps show where Peter M. Kekenes–Huskey may publish in the future.
Co-authorship network of co-authors of Peter M. Kekenes–Huskey
This figure shows the co-authorship network connecting the top 25 collaborators of Peter M. Kekenes–Huskey. A scholar is included among the top collaborators of Peter M. Kekenes–Huskey 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 Peter M. Kekenes–Huskey. Peter M. Kekenes–Huskey 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 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 13 | |
| 10 | 20 | |
| 11 | 40 | |
| 12 | 0 | |
| 13 | 45 | |
| 14 | 13 | |
| 15 | 20 | |
| 16 | 19 | |
| 17 | 17 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Peter M. Kekenes–Huskey
Peter M. Kekenes–Huskey is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Molecular Biology, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (24 papers), Ion channel regulation and function (17 papers) and Cardiac electrophysiology and arrhythmias (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (405 citations), Physiology (51 citations) and Molecular Biology (730 citations). Peter M. Kekenes–Huskey has collaborated with scholars based in United States, Norway and China. Frequent co-authors include J. Andrew McCammon, Steffen Lindert, Bin Sun, Changsun Eun, Andrew D. McCulloch, Johan Hake, Vincent T. Metzger, Anushka Michailova, Michael Holst and Piotr Setny. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Chemical Physics.
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.