Tama Evron
Impact in
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Receptor Mechanisms and Signaling 6
- Nicotinic Acetylcholine Receptors Study 3
- Hedgehog Signaling Pathway Studies 2
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- Cholinesterase and Neurodegenerative Diseases 8
- Co-authors
- Marc G. Caron (8 shared papers)Hermona Soreq (8 shared papers)Tanya L. Daigle (1 shared paper)Bryan L. Roth (4 shared papers)Nikhil M. Urs (3 shared papers)Shlomo Seidman (1 shared paper)Talma Brenner (1 shared paper)Neli Boneva (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)The FASEB Journal (2 papers)Neuropathology and Applied Neurobiology (1 paper)Investigative Ophthalmology & Visual Science (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Tama Evron
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Cellular and Molecular Neuroscience 257
- Pharmacology 218
- Molecular Biology 675
- Endocrine and Autonomic Systems 56
- Neurology 62
Countries citing papers authored by Tama Evron
This map shows the geographic impact of Tama Evron'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 Tama Evron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tama Evron more than expected).
Fields of papers citing papers by Tama Evron
This network shows the impact of papers produced by Tama Evron. 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 Tama Evron. The network helps show where Tama Evron may publish in the future.
Co-authors
The 25 scholars most cited alongside Tama Evron, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 200 | |
| 2 | 2012 | 125 | |
| 3 | 2016 | 111 | |
| 4 | 2016 | 107 | |
| 5 | 2003 | 95 | |
| 6 | 2007 | 86 | |
| 7 | 2014 | 60 | |
| 8 | 2016 | 37 | |
| 9 | 2007 | 28 | |
| 10 | 2011 | 25 | |
| 11 | 2005 | 24 | |
| 12 | 2006 | 23 | |
| 13 | 2005 | 21 | |
| 14 | 2007 | 20 | |
| 15 | 2021 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2004 | 11 | |
| 18 | 2013 | 11 | |
| 19 | 2020 | 1 |
About Tama Evron
Tama Evron is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Biotechnology and Plant Science, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (8 papers), Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Hedgehog Signaling Pathway Studies (2 papers), Transgenic Plants and Applications (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (257 citations), Pharmacology (218 citations), Molecular Biology (675 citations), Endocrine and Autonomic Systems (56 citations) and Neurology (62 citations). Tama Evron has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Marc G. Caron, Hermona Soreq, Tanya L. Daigle, Bryan L. Roth, Nikhil M. Urs, Shlomo Seidman, Talma Brenner, Neli Boneva, Raymond C. Stevens and Gye Won Han. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal, Neuropathology and Applied Neurobiology, Investigative Ophthalmology & Visual Science and Nature Communications.
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.