Gary R. Kuzma

18 total papers · 772 total citations
11 papers, 529 citations indexed

About

Gary R. Kuzma is a scholar working on Surgery, Rehabilitation and Epidemiology. According to data from OpenAlex, Gary R. Kuzma has authored 11 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Rehabilitation and 3 papers in Epidemiology. Recurrent topics in Gary R. Kuzma's work include Orthopedic Surgery and Rehabilitation (11 papers), Elbow and Forearm Trauma Treatment (10 papers) and Bone fractures and treatments (3 papers). Gary R. Kuzma is often cited by papers focused on Orthopedic Surgery and Rehabilitation (11 papers), Elbow and Forearm Trauma Treatment (10 papers) and Bone fractures and treatments (3 papers). Gary R. Kuzma collaborates with scholars based in United States and Netherlands. Gary R. Kuzma's co-authors include David S. Ruch, Andrew K. Palmer, E. Mark Levinsohn, Beth Paterson Smith, George D. Chloros, Ethan R. Wiesler, Gamal A. Elsaidi, William H. Bowers, Donald K. Bynum and David B. Siegel and has published in prestigious journals such as Clinical Orthopaedics and Related Research, Arthroscopy The Journal of Arthroscopic and Related Surgery and The Journal Of Hand Surgery.

In The Last Decade

Gary R. Kuzma

11 papers receiving 505 citations

Author Peers

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

Author Last Decade Papers Cites
Gary R. Kuzma 518 400 133 104 81 11 529
C. G. Hagert 464 0.9× 375 0.9× 118 0.9× 110 1.1× 46 0.6× 13 556
Matthew M. Malerich 506 1.0× 326 0.8× 102 0.8× 111 1.1× 50 0.6× 13 532
Brian J. Hartigan 477 0.9× 188 0.5× 117 0.9× 90 0.9× 135 1.7× 13 519
Miguel J. Saldana 439 0.8× 238 0.6× 110 0.8× 61 0.6× 112 1.4× 13 459
J H Boyes 468 0.9× 237 0.6× 82 0.6× 69 0.7× 70 0.9× 7 485
Norman P. Zemel 542 1.0× 365 0.9× 182 1.4× 115 1.1× 39 0.5× 19 571
T. Greg Sommerkamp 487 0.9× 323 0.8× 183 1.4× 108 1.0× 20 0.2× 12 505
Mary Gilbert 482 0.9× 357 0.9× 145 1.1× 76 0.7× 58 0.7× 8 505
Robert R. Schenck 478 0.9× 178 0.4× 126 0.9× 80 0.8× 56 0.7× 20 521
Tracy Fairplay 459 0.9× 340 0.8× 71 0.5× 88 0.8× 55 0.7× 19 491

Countries citing papers authored by Gary R. Kuzma

Since Specialization
Citations

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

Fields of papers citing papers by Gary R. Kuzma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary R. Kuzma. 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 Gary R. Kuzma. The network helps show where Gary R. Kuzma may publish in the future.

Co-authorship network of co-authors of Gary R. Kuzma

This figure shows the co-authorship network connecting the top 25 collaborators of Gary R. Kuzma. A scholar is included among the top collaborators of Gary R. Kuzma 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 Gary R. Kuzma. Gary R. Kuzma 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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