George R. Matcuk

109 total papers · 4.2k total citations
90 papers, 2.5k citations indexed

About

George R. Matcuk is a scholar working on Surgery, Rheumatology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, George R. Matcuk has authored 90 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Surgery, 26 papers in Rheumatology and 17 papers in Pulmonary and Respiratory Medicine. Recurrent topics in George R. Matcuk's work include Sarcoma Diagnosis and Treatment (15 papers), Shoulder Injury and Treatment (11 papers) and Bone Tumor Diagnosis and Treatments (10 papers). George R. Matcuk is often cited by papers focused on Sarcoma Diagnosis and Treatment (15 papers), Shoulder Injury and Treatment (11 papers) and Bone Tumor Diagnosis and Treatments (10 papers). George R. Matcuk collaborates with scholars based in United States, Italy and France. George R. Matcuk's co-authors include Dakshesh B. Patel, Eric A. White, Christopher J. Gottsegen, Matt Skalski, Deborah M. Forrester, Aaron J. Schein, Anderanik Tomasian, Sulabha Masih, Christopher T. Barry and Michael Kuo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and ACM Transactions on Graphics.

In The Last Decade

George R. Matcuk

81 papers receiving 2.4k citations

Author Peers

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

Author Last Decade Papers Cites
George R. Matcuk 1.1k 601 580 577 392 90 2.5k
Sung Hwan Hong 1.2k 1.1× 765 1.3× 394 0.7× 507 0.9× 404 1.0× 113 2.4k
Volker Vieth 1.3k 1.2× 458 0.8× 1.1k 1.8× 622 1.1× 524 1.3× 99 3.6k
A. M. De Schepper 1.0k 1.0× 798 1.3× 589 1.0× 749 1.3× 156 0.4× 128 3.1k
Ty K. Subhawong 882 0.8× 701 1.2× 750 1.3× 1.1k 1.9× 426 1.1× 129 3.0k
Young Cheol Yoon 1.5k 1.4× 512 0.9× 483 0.8× 732 1.3× 396 1.0× 116 2.7k
Christian Czerny 1.7k 1.6× 529 0.9× 617 1.1× 224 0.4× 376 1.0× 120 3.2k
L W Bassett 1.4k 1.4× 428 0.7× 367 0.6× 269 0.5× 265 0.7× 65 2.4k
H K Genant 1.2k 1.2× 570 0.9× 529 0.9× 271 0.5× 1.2k 3.1× 66 2.9k
V. Bousson 1.3k 1.3× 450 0.7× 495 0.9× 268 0.5× 1.2k 3.1× 106 3.1k
Jim S. Wu 794 0.8× 523 0.9× 313 0.5× 539 0.9× 287 0.7× 124 2.6k

Countries citing papers authored by George R. Matcuk

Since Specialization
Citations

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

Fields of papers citing papers by George R. Matcuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George R. Matcuk

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