M. Colson‐Van Schoor

10 total papers · 846 total citations
8 papers, 698 citations indexed

About

M. Colson‐Van Schoor is a scholar working on Molecular Biology, Surgery and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. Colson‐Van Schoor has authored 8 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. Colson‐Van Schoor's work include Muscle Physiology and Disorders (4 papers), Muscle activation and electromyography studies (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). M. Colson‐Van Schoor is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Muscle activation and electromyography studies (3 papers) and Tissue Engineering and Regenerative Medicine (2 papers). M. Colson‐Van Schoor collaborates with scholars based in Belgium, Switzerland and United States. M. Colson‐Van Schoor's co-authors include Philippe Gailly, Huguette Debaix, Clarisse Vandebrouck, Dominique Martin, Vijay A. Ramchandani, Melanie L. Schwandt, Robert L. Eskay, John C. Umhau, Peter Herscovitch and Ruslan Damadzic and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Physiology and Molecular Psychiatry.

In The Last Decade

M. Colson‐Van Schoor

8 papers receiving 688 citations

Author Peers

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

Author						Papers	Cites
M. Colson‐Van Schoor	429	341	146	146	75	8	698
Michael D. Duffield	311 0.7×	207 0.6×	43 0.3×	223 1.5×	14 0.2×	13	617
M. Rocio Servin‐Vences	289 0.7×	62 0.2×	85 0.6×	340 2.3×	40 0.5×	12	638
Kazushige Sasamoto	163 0.4×	200 0.6×	175 1.2×	131 0.9×	9 0.1×	19	676
E. P. Burke	533 1.2×	233 0.7×	81 0.6×	124 0.8×	23 0.3×	12	751
Melissa Zwick	231 0.5×	414 1.2×	265 1.8×	362 2.5×	22 0.3×	10	758
Ruby Gao	348 0.8×	149 0.4×	99 0.7×	162 1.1×	15 0.2×	10	620
Jan Walcher	243 0.6×	266 0.8×	155 1.1×	108 0.7×	7 0.1×	10	597
Hans-Georg Schaible	137 0.3×	266 0.8×	49 0.3×	511 3.5×	20 0.3×	15	793
J. Stefan Kaczmarek	340 0.8×	297 0.9×	349 2.4×	193 1.3×	10 0.1×	8	753
Marie E. Barabas	299 0.7×	223 0.7×	160 1.1×	348 2.4×	24 0.3×	13	790

Countries citing papers authored by M. Colson‐Van Schoor

Since Specialization

Citations

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

Fields of papers citing papers by M. Colson‐Van Schoor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Colson‐Van Schoor. 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 M. Colson‐Van Schoor. The network helps show where M. Colson‐Van Schoor may publish in the future.

Co-authorship network of co-authors of M. Colson‐Van Schoor

This figure shows the co-authorship network connecting the top 25 collaborators of M. Colson‐Van Schoor. A scholar is included among the top collaborators of M. Colson‐Van Schoor 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 M. Colson‐Van Schoor. M. Colson‐Van Schoor 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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