Paul S. Tumber

29 total papers · 619 total citations
15 papers, 317 citations indexed

About

Paul S. Tumber is a scholar working on Surgery, Anesthesiology and Pain Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Paul S. Tumber has authored 15 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Anesthesiology and Pain Medicine and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Paul S. Tumber's work include Anesthesia and Pain Management (5 papers), Pain Management and Opioid Use (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). Paul S. Tumber is often cited by papers focused on Anesthesia and Pain Management (5 papers), Pain Management and Opioid Use (5 papers) and Musculoskeletal pain and rehabilitation (4 papers). Paul S. Tumber collaborates with scholars based in Canada, United States and Saudi Arabia. Paul S. Tumber's co-authors include Philip Peng, Douglas Gourlay, Dermot R. Fitzgibbon, Anuj Bhatia, David Flamer, Sandra Robinson, Peter Mak, Vincent Chan, Colin J. L. McCartney and Herbert P. von Schroeder and has published in prestigious journals such as Pain, Pain Medicine and Canadian Journal of Anesthesia/Journal canadien d anesthésie.

In The Last Decade

Paul S. Tumber

15 papers receiving 301 citations

Author Peers

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

Author Last Decade Papers Cites
Paul S. Tumber 217 111 73 66 51 15 317
Kai McGreevy 176 0.8× 113 1.0× 64 0.9× 41 0.6× 62 1.2× 11 335
Michael F. Ferrante 185 0.9× 94 0.8× 100 1.4× 27 0.4× 67 1.3× 17 354
Geoff Bellingham 162 0.7× 57 0.5× 39 0.5× 24 0.4× 84 1.6× 18 312
Ercan Kurt 195 0.9× 48 0.4× 57 0.8× 38 0.6× 60 1.2× 24 313
Nantthasorn Zinboonyahgoon 155 0.7× 116 1.0× 28 0.4× 23 0.3× 52 1.0× 23 314
Martin Gleim 151 0.7× 147 1.3× 44 0.6× 22 0.3× 72 1.4× 16 278
R. Heylen 99 0.5× 61 0.5× 58 0.8× 31 0.5× 124 2.4× 15 301
L Bertini 256 1.2× 111 1.0× 71 1.0× 14 0.2× 33 0.6× 18 336
Herman Sehmbi 244 1.1× 88 0.8× 41 0.6× 40 0.6× 24 0.5× 23 296
Gustavo JM Porfírio 82 0.4× 37 0.3× 39 0.5× 20 0.3× 35 0.7× 16 325

Countries citing papers authored by Paul S. Tumber

Since Specialization
Citations

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

Fields of papers citing papers by Paul S. Tumber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul S. Tumber

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