Paul T. Rubery

116 total papers · 2.8k total citations
82 papers, 2.1k citations indexed

About

Paul T. Rubery is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Paul T. Rubery has authored 82 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Surgery, 37 papers in Pathology and Forensic Medicine and 23 papers in Pharmacology. Recurrent topics in Paul T. Rubery's work include Spine and Intervertebral Disc Pathology (36 papers), Musculoskeletal pain and rehabilitation (23 papers) and Spinal Fractures and Fixation Techniques (22 papers). Paul T. Rubery is often cited by papers focused on Spine and Intervertebral Disc Pathology (36 papers), Musculoskeletal pain and rehabilitation (23 papers) and Spinal Fractures and Fixation Techniques (22 papers). Paul T. Rubery collaborates with scholars based in United States, Israel and Japan. Paul T. Rubery's co-authors include Addisu Mesfin, Edward M. Schwarz, Regis J. O’Keefe, Xinping Zhang, David N. Bernstein, Robert W. Molinari, Hani A. Awad, Hiromu Ito, Robert E. Guldberg and M. Owen Papuga and has published in prestigious journals such as Nature Medicine, PLoS ONE and Journal of Bone and Joint Surgery.

In The Last Decade

Paul T. Rubery

74 papers receiving 2.0k 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 T. Rubery 1.1k 494 440 322 311 82 2.1k
Bernard A. Rawlins 1.4k 1.2× 941 1.9× 435 1.0× 241 0.7× 116 0.4× 51 2.1k
Shimpei Miyamoto 1.9k 1.7× 763 1.5× 721 1.6× 220 0.7× 291 0.9× 149 2.9k
Stefan Schaeren 1.0k 0.9× 638 1.3× 466 1.1× 296 0.9× 113 0.4× 50 2.1k
Timothy Ganey 1.2k 1.0× 1.1k 2.2× 532 1.2× 268 0.8× 310 1.0× 71 2.5k
W. Puhl 2.1k 1.8× 809 1.6× 488 1.1× 329 1.0× 177 0.6× 112 3.1k
Michelle A. James 1.3k 1.1× 289 0.6× 181 0.4× 445 1.4× 341 1.1× 126 2.9k
Cody Bünger 1.7k 1.5× 1.1k 2.3× 978 2.2× 329 1.0× 245 0.8× 76 2.9k
T. Sam Lindholm 1.6k 1.4× 259 0.5× 768 1.7× 252 0.8× 321 1.0× 130 2.6k
Yoshiki Yamano 1.7k 1.5× 421 0.9× 388 0.9× 118 0.4× 239 0.8× 86 2.3k
Lewis L. Shi 1.7k 1.5× 285 0.6× 243 0.6× 904 2.8× 729 2.3× 120 3.3k

Countries citing papers authored by Paul T. Rubery

Since Specialization
Citations

This map shows the geographic impact of Paul T. Rubery'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 T. Rubery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul T. Rubery more than expected).

Fields of papers citing papers by Paul T. Rubery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul T. Rubery

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