Matthew S. Ganio

184 total papers · 5.0k total citations
117 papers, 3.8k citations indexed

About

Matthew S. Ganio is a scholar working on Physiology, Rehabilitation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Matthew S. Ganio has authored 117 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Physiology, 41 papers in Rehabilitation and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Matthew S. Ganio's work include Thermoregulation and physiological responses (93 papers), Exercise and Physiological Responses (41 papers) and Infrared Thermography in Medicine (29 papers). Matthew S. Ganio is often cited by papers focused on Thermoregulation and physiological responses (93 papers), Exercise and Physiological Responses (41 papers) and Infrared Thermography in Medicine (29 papers). Matthew S. Ganio collaborates with scholars based in United States, United Kingdom and Canada. Matthew S. Ganio's co-authors include Douglas J. Casa, Lawrence E. Armstrong, Carl M. Maresh, Brendon P. McDermott, Susan W. Yeargin, Rebecca M. Lopez, Jennifer F. Klau, Kirk J. Cureton, Craig G. Crandall and Jonathan E. Wingo and has published in prestigious journals such as The FASEB Journal, Journal of Applied Physiology and Journal of Nutrition.

In The Last Decade

Matthew S. Ganio

115 papers receiving 3.6k citations

Author Peers

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

Author Last Decade Papers Cites
Matthew S. Ganio 2.7k 1.2k 987 711 666 117 3.8k
John W. Castellani 3.4k 1.3× 1.5k 1.2× 979 1.0× 976 1.4× 1.1k 1.6× 127 5.3k
C. V. Gisolfi 3.8k 1.4× 1.6k 1.3× 796 0.8× 1.5k 2.1× 724 1.1× 127 5.9k
Daniel S. Moran 3.3k 1.3× 1.3k 1.0× 2.1k 2.1× 383 0.5× 942 1.4× 163 5.5k
Stephen S. Cheung 3.5k 1.3× 1.8k 1.5× 1.1k 1.1× 463 0.7× 1.3k 2.0× 153 4.9k
Tom M. McLellan 2.5k 0.9× 1.3k 1.1× 807 0.8× 946 1.3× 851 1.3× 98 4.6k
Brendon P. McDermott 2.3k 0.9× 1.1k 0.9× 923 0.9× 499 0.7× 680 1.0× 86 3.0k
Andrew Young 4.0k 1.5× 1.6k 1.3× 723 0.7× 1.8k 2.5× 1.2k 1.8× 198 7.3k
James D. Cotter 2.9k 1.1× 1.6k 1.3× 726 0.7× 567 0.8× 990 1.5× 163 5.8k
Samuel N. Cheuvront 4.4k 1.6× 2.0k 1.6× 1.2k 1.2× 1.1k 1.6× 1.4k 2.1× 94 5.7k
Robert W. Kenefick 4.6k 1.7× 2.1k 1.7× 1.3k 1.3× 1.1k 1.6× 1.4k 2.1× 153 5.9k

Countries citing papers authored by Matthew S. Ganio

Since Specialization
Citations

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

Fields of papers citing papers by Matthew S. Ganio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew S. Ganio

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