Sanneke Don

13 total papers · 645 total citations
7 papers, 470 citations indexed

About

Sanneke Don is a scholar working on Pharmacology, Cognitive Neuroscience and Anesthesiology and Pain Medicine. According to data from OpenAlex, Sanneke Don has authored 7 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 3 papers in Cognitive Neuroscience and 2 papers in Anesthesiology and Pain Medicine. Recurrent topics in Sanneke Don's work include Musculoskeletal pain and rehabilitation (5 papers), Motor Control and Adaptation (2 papers) and Pain Management and Placebo Effect (2 papers). Sanneke Don is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Motor Control and Adaptation (2 papers) and Pain Management and Placebo Effect (2 papers). Sanneke Don collaborates with scholars based in Belgium, Netherlands and United Kingdom. Sanneke Don's co-authors include G. Lorimer Moseley, Alberto Gallace, Charles Spence, Nick Olthof, Jo Nijs, Lennard Voogt, Kelly Ickmans, Anneleen Malfliet, Jeroen Kregel and Jacqui Clark and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Orthopaedic and Sports Physical Therapy and Journal of Pain.

In The Last Decade

Sanneke Don

7 papers receiving 460 citations

Author Peers

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

Author Last Decade Papers Cites
Sanneke Don 233 213 196 137 122 7 470
Nick Olthof 240 1.0× 197 0.9× 196 1.0× 129 0.9× 53 0.4× 7 455
Marco Solcà 80 0.3× 272 1.3× 81 0.4× 91 0.7× 81 0.7× 19 510
Javier Bello‐Ruiz 69 0.3× 321 1.5× 145 0.7× 263 1.9× 44 0.4× 9 527
Estelle Palluel 76 0.3× 133 0.6× 92 0.5× 173 1.3× 63 0.5× 21 512
Mariela Rance 64 0.3× 250 1.2× 47 0.2× 79 0.6× 106 0.9× 19 470
Anita Stockselius 116 0.5× 199 0.9× 80 0.4× 33 0.2× 108 0.9× 6 455
Alessia Folegatti 158 0.7× 311 1.5× 141 0.7× 90 0.7× 47 0.4× 14 424
Adrian Alsmith 208 0.9× 315 1.5× 240 1.2× 104 0.8× 17 0.1× 17 526
In Y. Kim 193 0.8× 142 0.7× 107 0.5× 56 0.4× 27 0.2× 10 532
Ramona Kenntner‐Mabiala 32 0.1× 250 1.2× 147 0.8× 64 0.5× 81 0.7× 15 516

Countries citing papers authored by Sanneke Don

Since Specialization
Citations

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

Fields of papers citing papers by Sanneke Don

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanneke Don

This figure shows the co-authorship network connecting the top 25 collaborators of Sanneke Don. A scholar is included among the top collaborators of Sanneke Don 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 Sanneke Don. Sanneke Don 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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