Marc Ceusters

814 citations
25 papers · 598 · h-index 16

Impact in

Papers in

Marc Ceusters

25 papers receiving 582 citations

Peers

Marc Ceusters
Comparison fields: 5 of 67
  • Physiology 243
  • Biological Psychiatry 94
  • Psychiatry and Mental health 147
  • Neurology 79
  • Cellular and Molecular Neuroscience 157
Replace Anika Saul with:
Anika Saul Germany
Philip F. Morgan United States
Fumika Sakaue Japan
Cindy Wintmolders Belgium
Jasper van der Aart United Kingdom
Céline Boucher France
Verònica Casadó-Anguera Spain
Min-Jeong Kim United States
Elizabeth Walker New Zealand
Alessandro Guidotti United States
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Citations per field
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Citations per year

Countries citing papers authored by Marc Ceusters

Since Specialization
Citations

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

Fields of papers citing papers by Marc Ceusters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201466
3 201656
4 201854
5 201648
6 202344
7 201633
8 202028
9 201923
10 201722
11 201820
12 200117
13 200217
14 202316
15 199215
16 201815
17 199514
18 202212
19 20247
20 19987

About Marc Ceusters

Marc Ceusters is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Biological Psychiatry and Psychiatry and Mental health, having authored 25 papers that have together received 598 indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Chemical Synthesis and Analysis (6 papers), Tryptophan and brain disorders (5 papers), Neuropeptides and Animal Physiology (4 papers), Receptor Mechanisms and Signaling (3 papers), Memory and Neural Mechanisms (2 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). The work is most often cited by research in Physiology (243 citations), Biological Psychiatry (94 citations), Psychiatry and Mental health (147 citations), Neurology (79 citations) and Cellular and Molecular Neuroscience (157 citations). Marc Ceusters has collaborated with scholars based in Belgium, United States and Spain. Frequent co-authors include Luc Van Nueten, Anindya Bhattacharya, Anindya Bhattacharya, Peter de Boer, Paulien Ravenstijn, Brian Lord, Wayne C. Drevets, Dirk Tourwé, Wilhelmus Drinkenburg and Hilde Lavreysen. Their work appears in journals such as Epilepsia, Frontiers in Pharmacology, Journal of Nuclear Medicine, Bioorganic & Medicinal Chemistry Letters and The Journal of Organic Chemistry.

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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