Tama Evron

1.3k citations
20 papers · 1.1k · h-index 16

Impact in

Papers in

    • Receptor Mechanisms and Signaling 6
    • Nicotinic Acetylcholine Receptors Study 3
    • Hedgehog Signaling Pathway Studies 2
    • Cholinesterase and Neurodegenerative Diseases 9
    • Cannabis and Cannabinoid Research 2

Tama Evron

20 papers receiving 1.1k citations

Peers

Tama Evron
Comparison fields: 5 of 96
  • Pharmacology 230
  • Cellular and Molecular Neuroscience 257
  • Molecular Biology 681
  • Endocrine and Autonomic Systems 56
  • Cell Biology 112
Replace Lyne Lévesque with:
Lyne Lévesque Canada
Vi Pham Australia
Wenlin An China
Yongmei Pu United States
Camilla Nilsberth Sweden
Gvido Cebers Sweden
T V Ramabhadran United States
Rebeca Aldunate Chile
Brendan Bingham United States
Cornelia Heindl Germany
Tama Evron relative to Lyne Lévesque Canada Lyne Lévesque's profile →
Citations per field
00.5×
Lyne Lévesque · 1×
Citations per year

Countries citing papers authored by Tama Evron

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tama Evron Line = papers co-authored together Tama Evron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014206
2 2012127
3 2016125
4 2016110
5 2003107
6 200794
7 201461
8 201637
9 200734
10 200627
11 201127
12 200525
13 200523
14 200723
15 202017
16 202117
17 200414
18 201311
19 20095
20 20201

About Tama Evron

Tama Evron is a scholar working on Molecular Biology, Pharmacology, Cellular and Molecular Neuroscience, Plant Science and Biotechnology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Receptor Mechanisms and Signaling (6 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Cannabis and Cannabinoid Research (2 papers), Transgenic Plants and Applications (2 papers) and Hedgehog Signaling Pathway Studies (2 papers). The work is most often cited by research in Pharmacology (230 citations), Cellular and Molecular Neuroscience (257 citations), Molecular Biology (681 citations), Endocrine and Autonomic Systems (56 citations) and Cell Biology (112 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, Neli Boneva, Talma Brenner, Shlomo Seidman, Tsafrir S. Mor and Huixian Wu. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, ACS Chemical Biology, Progress in molecular biology and translational science and Nature Chemical Biology.

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.

Explore authors with similar magnitude of impact