A. Revuelta

1.8k citations
30 papers · 1.5k · h-index 19

Impact in

Papers in

A. Revuelta

30 papers receiving 1.4k citations

Peers

A. Revuelta
Comparison fields: 5 of 90
  • Cellular and Molecular Neuroscience 1.1k
  • Endocrine and Autonomic Systems 106
  • Biological Psychiatry 30
  • Behavioral Neuroscience 43
  • Pharmacology 188
Replace C.C. Mao with:
C.C. Mao United States
William O. Boggan United States
James A. Totaro United States
John D. Connor United States
N.R. Oakley United Kingdom
A. Groppetti Italy
S. S. Tenen United States
S.N. Pradhan United States
Nils-Erik And�n Sweden
B.H.C. Westerink Netherlands
A. Revuelta relative to C.C. Mao United States C.C. Mao's profile →
Citations per field
00.5×
C.C. Mao · 1×
Citations per year

Countries citing papers authored by A. Revuelta

Since Specialization
Citations

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

Fields of papers citing papers by A. Revuelta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969350
2 1971169
3 1984161
4 1975112
5 197783
6 197669
7 197257
8 197550
9
The turnover rate of gamma-aminobutyric acid in the nuclei of telencephalon: implications in the pharmacology of antipsychotics and of a minor tranquilizer.
197747
10 197846
11 197143
12 197938
13 197328
14 197224
15 197824
16 197623
17 197219
18 197219
19 197519
20 198017

About A. Revuelta

A. Revuelta is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Pharmacology and Neurology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (19 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Phosphodiesterase function and regulation (5 papers), Cannabis and Cannabinoid Research (4 papers), Receptor Mechanisms and Signaling (4 papers), Diet and metabolism studies (4 papers), Pain Mechanisms and Treatments (3 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Endocrine and Autonomic Systems (106 citations), Biological Psychiatry (30 citations), Behavioral Neuroscience (43 citations) and Pharmacology (188 citations). A. Revuelta has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include E. Costa, E. Costa, A. Groppetti, D.L. Cheney, F E Bloom, S. Algeri, Eva M. Marco, Emília Chagas Costa, C.C. Mao and Alessandro Guidotti. Their work appears in journals such as Neuropharmacology, Brain Research, Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Biochemical 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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