Dominic Devost

1.5k citations
47 papers · 1.2k · h-index 23

Impact in

Papers in

Dominic Devost

45 papers receiving 1.2k citations

Peers

Dominic Devost
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 140
  • Cellular and Molecular Neuroscience 372
  • Behavioral Neuroscience 43
  • Social Psychology 223
  • Molecular Biology 664
Replace Sonia Terrillon with:
Sonia Terrillon United States
Virginie Bernier Canada
André Laperrière Canada
Katja Bürger Germany
Ulla E. Petäjä‐Repo Finland
Yuuki Morimoto Japan
Eric Grazzini France
Roger Bossé Canada
S Gilbert United States
Hadar Rosen Israel
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Citations per field
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Citations per year

Countries citing papers authored by Dominic Devost

Since Specialization
Citations

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

Fields of papers citing papers by Dominic Devost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018101
2 201083
3 201771
4 200466
5 200450
6 200849
7 201449
8 201245
9 200742
10 201242
11 200336
12 201535
13 200434
14 201134
15 200630
16 200730
17 200728
18 201528
19 201727
20 200126

About Dominic Devost

Dominic Devost is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology, Endocrine and Autonomic Systems and Surgery, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Neuropeptides and Animal Physiology (12 papers), Neuroendocrine regulation and behavior (11 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Hypothalamic control of reproductive hormones (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (140 citations), Cellular and Molecular Neuroscience (372 citations), Behavioral Neuroscience (43 citations), Social Psychology (223 citations) and Molecular Biology (664 citations). Dominic Devost has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Hans H. Zingg, Terence E. Hébert, Stéphane A. Laporte, Darlaine Pétrin, Rory Sleno, Eugénie Goupil, Alice Zhang, Asuka Inoue, Ahmed Hasbi and Yoon Namkung. Their work appears in journals such as Cellular Signalling, Journal of Biological Chemistry, Molecular Endocrinology, Biochemical Pharmacology and Methods.

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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