Scott J. Sherman
- Neurology top 0.5%
- Cognitive Neuroscience top 2%
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Physiology top 10%
- Co-authors
- Michael J. FrankAhmed A. MoustafaJohan SamantaTorsten FalkMichael X CohenWilliam A. CatterallJames F. CavanaghThomas V. Wiecki
- Topics
- Parkinson's Disease Mechanisms and Treatments (26 papers)Neurological disorders and treatments (19 papers)Neuroscience and Neuropharmacology Research (12 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Scott J. Sherman
70 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Neurology 1.4k
- Cognitive Neuroscience 1.2k
- Cellular and Molecular Neuroscience 1.1k
- Molecular Biology 558
- Physiology 341
Countries citing papers authored by Scott J. Sherman
This map shows the geographic impact of Scott J. Sherman'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 Scott J. Sherman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott J. Sherman more than expected).
Fields of papers citing papers by Scott J. Sherman
This network shows the impact of papers produced by Scott J. Sherman. 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 Scott J. Sherman. The network helps show where Scott J. Sherman may publish in the future.
Co-authorship network of co-authors of Scott J. Sherman
This figure shows the co-authorship network connecting the top 25 collaborators of Scott J. Sherman. A scholar is included among the top collaborators of Scott J. Sherman 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 Scott J. Sherman. Scott J. Sherman 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 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 50 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | 13 | |
| 12 | 46 | |
| 13 | 15 | |
| 14 | 55 | |
| 15 | 76 | |
| 16 | 16 | |
| 17 | 16 | |
| 18 | 16 | |
| 19 | The effect of denervation on the development of the high affinity saxitoxin receptor in the skeletal muscle | 1 |
| 20 | 44 |
About Scott J. Sherman
Scott J. Sherman is a scholar working on Neurology, Biological Psychiatry and Cellular and Molecular Neuroscience, having authored 71 papers that have together received 3.4k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (26 papers), Neurological disorders and treatments (19 papers) and Neuroscience and Neuropharmacology Research (12 papers). The work is most often cited by research in Neurology (1.4k citations), Cognitive Neuroscience (1.2k citations) and Cellular and Molecular Neuroscience (1.1k citations). Scott J. Sherman has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Michael J. Frank, Ahmed A. Moustafa, Johan Samanta, Torsten Falk, Michael X Cohen, William A. Catterall, James F. Cavanagh, Thomas V. Wiecki, Christina M. Figueroa and Bennet Davis. Their work appears in journals such as Science, 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.