Thomas L. Kash
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 5%
- Cognitive Neuroscience top 1%
- Behavioral Neuroscience top 0.2%
- Social Psychology top 1%
- Co-authors
- Kristen E. PleilDanny G. WinderEmily G. Lowery‐GiontaCatherine A. MarcinkiewczNicole A. CrowleyNeil L. HarrisonAndrew HolmesGarret D. Stuber
- Topics
- Neurotransmitter Receptor Influence on Behavior (66 papers)Neuroscience and Neuropharmacology Research (47 papers)Receptor Mechanisms and Signaling (35 papers)
- Partner nations
- United StatesDenmarkRussia
In The Last Decade
Thomas L. Kash
107 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 4.2k
- Molecular Biology 2.0k
- Cognitive Neuroscience 2.0k
- Behavioral Neuroscience 1.4k
- Social Psychology 1.1k
Countries citing papers authored by Thomas L. Kash
This map shows the geographic impact of Thomas L. Kash'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 Thomas L. Kash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas L. Kash more than expected).
Fields of papers citing papers by Thomas L. Kash
This network shows the impact of papers produced by Thomas L. Kash. 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 Thomas L. Kash. The network helps show where Thomas L. Kash may publish in the future.
Co-authorship network of co-authors of Thomas L. Kash
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas L. Kash. A scholar is included among the top collaborators of Thomas L. Kash 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 Thomas L. Kash. Thomas L. Kash 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 | 3 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 25 | |
| 7 | 7 | |
| 8 | 16 | |
| 9 | 39 | |
| 10 | 7 | |
| 11 | 68 | |
| 12 | 316 | |
| 13 | 98 | |
| 14 | 39 | |
| 15 | 48 | |
| 16 | 33 | |
| 17 | 69 | |
| 18 | 188 | |
| 19 | 102 | |
| 20 | 136 |
About Thomas L. Kash
Thomas L. Kash is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 115 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (66 papers), Neuroscience and Neuropharmacology Research (47 papers) and Receptor Mechanisms and Signaling (35 papers). The work is most often cited by research in Behavioral Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (4.2k citations) and Biological Psychiatry (425 citations). Thomas L. Kash has collaborated with scholars based in United States, Denmark and Russia. Frequent co-authors include Kristen E. Pleil, Danny G. Winder, Emily G. Lowery‐Gionta, Catherine A. Marcinkiewcz, Nicole A. Crowley, Neil L. Harrison, Andrew Holmes, Garret D. Stuber, Chia Li and James R. Trudell. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.