Tom�s A. Reader

577 citations
17 papers · 502 · h-index 12

Impact in

Papers in

Tom�s A. Reader

17 papers receiving 496 citations

Peers

Tom�s A. Reader
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 280
  • Hepatology 72
  • Endocrine and Autonomic Systems 42
  • Biological Psychiatry 13
  • Behavioral Neuroscience 17
Replace Hakim Houchi with:
Hakim Houchi France
Marjut Olasmaa Sweden
R A Mueller United States
J.S. Kuo Taiwan
Pierre‐Éric Juif Switzerland
Laurie M. Brown United States
David O. Keyser United States
Veit‐Simon Eckle Germany
Julia Grinshpun Israel
Annette Hogg Australia
Tom�s A. Reader relative to Hakim Houchi France Hakim Houchi's profile →
Citations per field
00.5×1.5×2.2×
Hakim Houchi · 1×
Citations per year

Countries citing papers authored by Tom�s A. Reader

Since Specialization
Citations

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

Fields of papers citing papers by Tom�s A. Reader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom�s A. Reader. 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 Tom�s A. Reader. The network helps show where Tom�s A. Reader may publish in the future.

Co-authors

The 22 scholars most cited alongside Tom�s A. Reader, 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 Tom�s A. Reader Line = papers co-authored together Tom�s A. Reader links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 199992
2 198984
3 198761
4 199345
5 198645
6 199729
7 198825
8 199521
9 200020
10 198620
11 200015
12 198911
13 198911
14 19909
15 19897
16 19906
17 19951

About Tom�s A. Reader

Tom�s A. Reader is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Organic Chemistry, Pharmacology and Pathology and Forensic Medicine, having authored 17 papers that have together received 502 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Genetic Neurodegenerative Diseases (2 papers), Liver Disease and Transplantation (2 papers), Alcohol Consumption and Health Effects (1 paper) and Chemical Reactions and Isotopes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (280 citations), Hepatology (72 citations), Endocrine and Autonomic Systems (42 citations), Biological Psychiatry (13 citations) and Behavioral Neuroscience (17 citations). Tom�s A. Reader has collaborated with scholars based in Canada, Venezuela and Spain. Frequent co-authors include Louise Grondin, Nathalie Giroux, Serge Rossignol, Marcelle Bergeron, Gilles Pomier Layrargues, Roger F. Butterworth, André Ferron, Eduardo Molina‐Holgado, Francisco Molina‐Holgado and Karen M. Dewar. Their work appears in journals such as Neurochemical Research, Naunyn-Schmiedeberg s Archives of Pharmacology, The Journal of Comparative Neurology and Synapse.

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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