Tanya Comas

764 citations
32 papers · 630 indexed · h-index 15

Impact in

Papers in

Tanya Comas

32 papers receiving 625 citations

Peers

Tanya Comas
Comparison fields: 5 of 79
  • Cellular and Molecular Neuroscience 364
  • Developmental Neuroscience 74
  • Neurology 67
  • Toxicology 24
  • Biological Psychiatry 15
Replace Giulia Ambrosi with:
Giulia Ambrosi Italy
Paul M. Lea United States
Jean‐Marc Kamenka France
D. Ross Henshaw United States
Francisco R. Lopez‐Picon Finland
Carmen R. Sunico Spain
Lucette Garreau France
Aaron M. Bender United States
Margot H.M. Bakker United States
Philip F. Morgan United States
Tanya Comas relative to Giulia Ambrosi Italy Giulia Ambrosi's profile →
Citations per field
00.5×4.8×
Giulia Ambrosi · 1×
Citations per year

Countries citing papers authored by Tanya Comas

Since Specialization
Citations

This map shows the geographic impact of Tanya Comas'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 Tanya Comas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanya Comas more than expected).

Fields of papers citing papers by Tanya Comas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanya Comas. 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 Tanya Comas. The network helps show where Tanya Comas may publish in the future.

Co-authors

The 25 scholars most cited alongside Tanya Comas, 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 Tanya Comas Line = papers co-authored together Tanya Comas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202011
2 20187
3 201614
4 201619
5 201315
6 20125
7 20115
8 201123
9 201114
10 201021
11 201015
12 200913
13 20073
14 200522
15 200513
16 200326
17 200134
18 200121
19 199953
20 19998

About Tanya Comas

Tanya Comas is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Cognitive Neuroscience and Pharmacology, having authored 32 papers that have together received 630 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Neuroscience and Neural Engineering (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Ion channel regulation and function (4 papers), Memory and Neural Mechanisms (3 papers), Cannabis and Cannabinoid Research (3 papers) and 3D Printing in Biomedical Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (364 citations), Developmental Neuroscience (74 citations), Neurology (67 citations), Toxicology (24 citations) and Biological Psychiatry (15 citations). Tanya Comas has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Paul Morley, Joseph S. Tauskela, Robert Monette, Geoffrey Mealing, Eric Brunette, Geoff Mealing, Marzia Martina, Christophe Py, Tania F. Gendron and Tarun Ahuja. Their work appears in journals such as Biotechnology and Bioengineering, Brain Research, European Journal of Pharmacology, Glia and Frontiers in Pharmacology.

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.

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