Margot Geerts

27 total papers · 534 total citations
18 papers, 349 citations indexed

About

Margot Geerts is a scholar working on Physiology, Neurology and Pharmacology. According to data from OpenAlex, Margot Geerts has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Physiology, 12 papers in Neurology and 5 papers in Pharmacology. Recurrent topics in Margot Geerts's work include Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Musculoskeletal pain and rehabilitation (5 papers). Margot Geerts is often cited by papers focused on Pain Mechanisms and Treatments (13 papers), Botulinum Toxin and Related Neurological Disorders (12 papers) and Musculoskeletal pain and rehabilitation (5 papers). Margot Geerts collaborates with scholars based in Netherlands, Curacao and United States. Margot Geerts's co-authors include Janneke G. J. Hoeijmakers, Catharina G. Faber, Bianca T. A. de Greef, Ingemar S. J. Merkies, Ingemar S.J. Merkies, Stephen G. Waxman, Sulayman D. Dib‐Hajj, Sander M. J. van Kuijk, Maarten van Kleef and Brigitte A. Brouwer and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Margot Geerts

18 papers receiving 333 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Margot Geerts 231 195 124 58 39 18 349
Sonja G. Schütz 202 0.9× 73 0.4× 57 0.5× 57 1.0× 46 1.2× 14 302
Barış İşak 125 0.5× 230 1.2× 71 0.6× 56 1.0× 15 0.4× 30 389
Eugen V. Khomula 242 1.0× 44 0.2× 148 1.2× 119 2.1× 39 1.0× 19 371
O. A. Peiris 155 0.7× 158 0.8× 87 0.7× 29 0.5× 19 0.5× 12 387
Akihiro Tamae 215 0.9× 61 0.3× 132 1.1× 75 1.3× 42 1.1× 18 393
G. Galimberti 143 0.6× 152 0.8× 38 0.3× 63 1.1× 22 0.6× 14 330
Sean Taylor 104 0.5× 96 0.5× 83 0.7× 93 1.6× 14 0.4× 21 341
F Fabris 69 0.3× 187 1.0× 54 0.4× 31 0.5× 24 0.6× 28 369
Lam T. Ho 233 1.0× 84 0.4× 143 1.2× 41 0.7× 24 0.6× 17 373
Rey‐Yue Yuan 182 0.8× 211 1.1× 25 0.2× 21 0.4× 29 0.7× 14 341

Countries citing papers authored by Margot Geerts

Since Specialization
Citations

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

Fields of papers citing papers by Margot Geerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot Geerts

This figure shows the co-authorship network connecting the top 25 collaborators of Margot Geerts. A scholar is included among the top collaborators of Margot Geerts based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margot Geerts. Margot Geerts is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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