Kenneth S. Schwartz
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 2%
- Physiology top 10%
- Molecular Biology
- Co-authors
- Joseph JankovicMordecai KoenigsbergWilliam G. OndoWilbert S. AronowSteven J. GeddeRichard K. LeeJohanne TremblayEmmanuel Teíger
- Topics
- Neurological disorders and treatments (16 papers)Botulinum Toxin and Related Neurological Disorders (12 papers)Cardiovascular Function and Risk Factors (11 papers)
- Partner nations
- United StatesSwedenFrance
In The Last Decade
Kenneth S. Schwartz
49 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 111
- Neurology 2.1k
- Cellular and Molecular Neuroscience 996
- Cardiology and Cardiovascular Medicine 730
- Physiology 336
- Molecular Biology 286
Countries citing papers authored by Kenneth S. Schwartz
This map shows the geographic impact of Kenneth S. Schwartz'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 Kenneth S. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Schwartz more than expected).
Fields of papers citing papers by Kenneth S. Schwartz
This network shows the impact of papers produced by Kenneth S. Schwartz. 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 Kenneth S. Schwartz. The network helps show where Kenneth S. Schwartz may publish in the future.
Co-authorship network of co-authors of Kenneth S. Schwartz
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Schwartz. A scholar is included among the top collaborators of Kenneth S. Schwartz 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 Kenneth S. Schwartz. Kenneth S. Schwartz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 135 | |
| 2 | Interactive stereo electron microscopy enhanced with virtual reality | 1 |
| 3 | 91 | |
| 4 | 189 | |
| 5 | 34 | |
| 6 | 4 | |
| 7 | 10 | |
| 8 | 347 | |
| 9 | 160 | |
| 10 | 82 | |
| 11 | 262 | |
| 12 | 30 | |
| 13 | 84 | |
| 14 | [Plasticity of myocardial phenotype during cardiac hypertrophy and failure]. | 5 |
| 15 | 33 | |
| 16 | 30 | |
| 17 | 53 | |
| 18 | 81 | |
| 19 | 48 | |
| 20 | 154 |
About Kenneth S. Schwartz
Kenneth S. Schwartz is a scholar working on Neurology, Cardiology and Cardiovascular Medicine and Developmental Biology, having authored 50 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neurological disorders and treatments (16 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Cardiovascular Function and Risk Factors (11 papers). The work is most often cited by research in Neurology (2.1k citations), Cellular and Molecular Neuroscience (996 citations) and Cardiology and Cardiovascular Medicine (730 citations). Kenneth S. Schwartz has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Joseph Jankovic, Joseph Jankovic, Mordecai Koenigsberg, William G. Ondo, Wilbert S. Aronow, Wilbert S. Aronow, Joseph Jankovic, Steven J. Gedde, Richard K. Lee and Johanne Tremblay. Their work appears in journals such as Journal of Clinical Investigation, Neurology and The American Journal of Cardiology.
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.