Jefferson J. Katims
- Cellular and Molecular Neuroscience top 5%
- Physiology top 0.5%
- Molecular Biology
- Physiology top 10%
- Pharmacology top 5%
- Co-authors
- Zoltan AnnauJohn W. DalySolomon H. SnyderRobert F. BrunsS H SnyderMarc RendellLorenz K. Y. NgStephen A. Weseley
- Topics
- Muscle activation and electromyography studies (5 papers)Botulinum Toxin and Related Neurological Disorders (4 papers)Pain Mechanisms and Treatments (4 papers)
- Journals
- Proceedings of the National Academy of SciencesDiabetes CareJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesJapan
In The Last Decade
Jefferson J. Katims
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 430
- Physiology 329
- Molecular Biology 240
- Physiology 220
- Pharmacology 205
Countries citing papers authored by Jefferson J. Katims
This map shows the geographic impact of Jefferson J. Katims'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 Jefferson J. Katims with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jefferson J. Katims more than expected).
Fields of papers citing papers by Jefferson J. Katims
This network shows the impact of papers produced by Jefferson J. Katims. 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 Jefferson J. Katims. The network helps show where Jefferson J. Katims may publish in the future.
Co-authorship network of co-authors of Jefferson J. Katims
This figure shows the co-authorship network connecting the top 25 collaborators of Jefferson J. Katims. A scholar is included among the top collaborators of Jefferson J. Katims 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 Jefferson J. Katims. Jefferson J. Katims is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Sensory perception in uremic patients. | 2 |
| 3 | 36 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 32 | |
| 8 | 44 | |
| 9 | 36 | |
| 10 | 68 | |
| 11 | 60 | |
| 12 | New screening device for assessment of peripheral neuropathy. | 68 |
| 13 | Caffeine actions and adenosine. | 20 |
| 14 | 114 | |
| 15 | 39 | |
| 16 | Adenosine receptors and behavioral actions of methylxanthines.breakdown → | 590 |
About Jefferson J. Katims
Jefferson J. Katims is a scholar working on Physiology, Complementary and Manual Therapy and Biological Psychiatry, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (5 papers), Botulinum Toxin and Related Neurological Disorders (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Physiology (329 citations), Cellular and Molecular Neuroscience (430 citations) and Pharmacology (205 citations). Jefferson J. Katims has collaborated with scholars based in United States and Japan. Frequent co-authors include Zoltan Annau, John W. Daly, Solomon H. Snyder, Robert F. Bruns, S H Snyder, Marc Rendell, Lorenz K. Y. Ng, Stephen A. Weseley, Donlin M. Long and Margit L. Bleecker. Their work appears in journals such as Proceedings of the National Academy of Sciences, Diabetes Care and Journal of Pharmacology and Experimental Therapeutics.
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.