Stephen J. Korn
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Cardiology and Cardiovascular Medicine top 5%
- Cognitive Neuroscience top 10%
- Sensory Systems top 5%
- Co-authors
- László KissR HornRaymond DingledineStephen R. IkedaJoseph J. LoTurcoJosef G. TrapaniJ.L. GiacchinoNancy L. Chamberlin
- Topics
- Ion channel regulation and function (29 papers)Neuroscience and Neuropharmacology Research (21 papers)Cardiac electrophysiology and arrhythmias (17 papers)
- Partner nations
- United StatesCzechiaSouth Korea
In The Last Decade
Stephen J. Korn
46 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 1.2k
- Cardiology and Cardiovascular Medicine 659
- Cognitive Neuroscience 193
- Sensory Systems 101
Countries citing papers authored by Stephen J. Korn
This map shows the geographic impact of Stephen J. Korn'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 Stephen J. Korn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen J. Korn more than expected).
Fields of papers citing papers by Stephen J. Korn
This network shows the impact of papers produced by Stephen J. Korn. 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 Stephen J. Korn. The network helps show where Stephen J. Korn may publish in the future.
Co-authorship network of co-authors of Stephen J. Korn
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen J. Korn. A scholar is included among the top collaborators of Stephen J. Korn 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 Stephen J. Korn. Stephen J. Korn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 13 | |
| 6 | 29 | |
| 7 | 40 | |
| 8 | 23 | |
| 9 | 155 | |
| 10 | 52 | |
| 11 | 131 | |
| 12 | 30 | |
| 13 | 36 | |
| 14 | 33 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | 53 | |
| 18 | 139 | |
| 19 | 22 | |
| 20 | 226 |
About Stephen J. Korn
Stephen J. Korn is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (29 papers), Neuroscience and Neuropharmacology Research (21 papers) and Cardiac electrophysiology and arrhythmias (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.2k citations), Cardiology and Cardiovascular Medicine (659 citations) and Molecular Biology (1.4k citations). Stephen J. Korn has collaborated with scholars based in United States, Czechia and South Korea. Frequent co-authors include László Kiss, R Horn, Raymond Dingledine, Stephen R. Ikeda, Joseph J. LoTurco, Josef G. Trapani, J.L. Giacchino, Nancy L. Chamberlin, David Immke and Richard Horn. Their work appears in journals such as Science, The Journal of Physiology and Annals of Neurology.
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.