D.M. Tomkins

1.8k citations
30 papers · 1.5k · h-index 20

Impact in

Papers in

D.M. Tomkins

28 papers receiving 1.5k citations

Peers

D.M. Tomkins
Comparison fields: 5 of 81
  • Behavioral Neuroscience 199
  • Cellular and Molecular Neuroscience 957
  • Biological Psychiatry 49
  • Sensory Systems 60
  • Cognitive Neuroscience 232
Replace Alma J. Gower with:
Alma J. Gower Belgium
Christine L. Melchior United States
Michael S. Eison United States
Nora Laaris France
Jerry M. Cott United States
Jeffrey Carlson United States
Christina Spyraki Greece
Tsuneyuki Yamamoto Japan
Harvey J. Altman United States
Jeffrey A. Vivian United States
D.M. Tomkins relative to Alma J. Gower Belgium Alma J. Gower's profile →
Citations per field
00.5×1.5×
Alma J. Gower · 1×
Citations per year

Countries citing papers authored by D.M. Tomkins

Since Specialization
Citations

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

Fields of papers citing papers by D.M. Tomkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.M. Tomkins. 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 D.M. Tomkins. The network helps show where D.M. Tomkins may publish in the future.

Co-authors

The 25 scholars most cited alongside D.M. Tomkins, 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 D.M. Tomkins Line = papers co-authored together D.M. Tomkins 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 1989461
2 1990164
3 199281
4 200274
5 198973
6 199569
7 199469
8 199258
9 199057
10 199356
11 199748
12 199447
13 200040
14 199737
15 198731
16 199628
17 199423
18 199021
19 199419
20
Use of serotonin (5-HT) and opiate-based drugs in the pharmacotherapy of alcohol dependence: an overview of the preclinical data.
199619

About D.M. Tomkins

D.M. Tomkins is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Behavioral Neuroscience, Cognitive Neuroscience and Social Psychology, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (20 papers), Receptor Mechanisms and Signaling (10 papers), Neuroscience and Neuropharmacology Research (8 papers), Memory and Neural Mechanisms (5 papers), Stress Responses and Cortisol (5 papers), Neuroendocrine regulation and behavior (3 papers), Neuropeptides and Animal Physiology (3 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (199 citations), Cellular and Molecular Neuroscience (957 citations), Biological Psychiatry (49 citations), Sensory Systems (60 citations) and Cognitive Neuroscience (232 citations). D.M. Tomkins has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include B. Costall, M.E. Kelly, R.J. Naylor, Edward M. Sellers, Brian J. Jones, Guy A. Higgins, Paul Fletcher, Anh D. Lê, A.M. Domeney and Philip Gerrard. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Behavioural Pharmacology, Alcoholism Clinical and Experimental Research, British Journal of Pharmacology and Psychopharmacology.

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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