David S. Butler

115 total papers · 4.4k total citations
46 papers, 3.0k citations indexed

About

David S. Butler is a scholar working on Pharmacology, Cognitive Neuroscience and Neurology. According to data from OpenAlex, David S. Butler has authored 46 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pharmacology, 12 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in David S. Butler's work include Musculoskeletal pain and rehabilitation (18 papers), Pain Management and Placebo Effect (8 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). David S. Butler is often cited by papers focused on Musculoskeletal pain and rehabilitation (18 papers), Pain Management and Placebo Effect (8 papers) and Botulinum Toxin and Related Neurological Disorders (7 papers). David S. Butler collaborates with scholars based in Australia, United States and United Kingdom. David S. Butler's co-authors include G. Lorimer Moseley, Emilio J. Puentedura, Ina Diener, Adriaan Louw, Michel W. Coppieters, Louis Gifford, Robert Nee, Ian Fulton, Sarah B. Wallwork and Dianne Wilson and has published in prestigious journals such as PLoS ONE, Journal of Fluid Mechanics and Pain.

In The Last Decade

David S. Butler

45 papers receiving 2.7k citations

Hit Papers

Fifteen Years of Explaini... 2011 2026 2016 2021 2015 2011 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
David S. Butler 1.7k 851 660 530 445 46 3.0k
Anne Elisabeth Ljunggren 1.3k 0.8× 711 0.8× 257 0.4× 349 0.7× 350 0.8× 42 2.9k
Deirdre Walsh 1.1k 0.7× 677 0.8× 413 0.6× 436 0.8× 365 0.8× 108 4.3k
Emilio J. Puentedura 2.1k 1.2× 838 1.0× 806 1.2× 122 0.2× 451 1.0× 85 3.1k
Deirdre A. Hurley 1.7k 1.0× 318 0.4× 439 0.7× 192 0.4× 634 1.4× 73 3.2k
Joel E. Bialosky 2.5k 1.5× 798 0.9× 907 1.4× 137 0.3× 576 1.3× 63 3.5k
Amir Rafii 1.4k 0.9× 1.3k 1.5× 914 1.4× 165 0.3× 583 1.3× 24 5.0k
C.P. van Wilgen 1.4k 0.8× 653 0.8× 490 0.7× 108 0.2× 832 1.9× 69 2.9k
Jacob Patijn 1.0k 0.6× 994 1.2× 234 0.4× 214 0.4× 244 0.5× 60 2.8k
Barbara A. Rakel 1.3k 0.8× 865 1.0× 292 0.4× 154 0.3× 526 1.2× 87 3.9k
Marco Barbero 993 0.6× 484 0.6× 398 0.6× 198 0.4× 324 0.7× 136 2.6k

Countries citing papers authored by David S. Butler

Since Specialization
Citations

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

Fields of papers citing papers by David S. Butler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Butler. 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 David S. Butler. The network helps show where David S. Butler may publish in the future.

Co-authorship network of co-authors of David S. Butler

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Butler. A scholar is included among the top collaborators of David S. Butler 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 David S. Butler. David S. Butler 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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