Joseph M. McClung

140 total papers · 4.6k total citations
78 papers, 3.4k citations indexed

About

Joseph M. McClung is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Joseph M. McClung has authored 78 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 21 papers in Physiology and 19 papers in Rehabilitation. Recurrent topics in Joseph M. McClung's work include Muscle Physiology and Disorders (26 papers), Exercise and Physiological Responses (17 papers) and Adipose Tissue and Metabolism (15 papers). Joseph M. McClung is often cited by papers focused on Muscle Physiology and Disorders (26 papers), Exercise and Physiological Responses (17 papers) and Adipose Tissue and Metabolism (15 papers). Joseph M. McClung collaborates with scholars based in United States, Canada and Japan. Joseph M. McClung's co-authors include Andreas N. Kavazis, Scott K. Powers, Scott K. Powers, James A. Carson, Andrew R. Judge, Darin J. Falk, Stephen Dodd, Keith C. DeRuisseau, Sarah M. Judge and Sarah M. Senf and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Joseph M. McClung

76 papers receiving 3.3k citations

Author Peers

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

Author Last Decade Papers Cites
Joseph M. McClung 1.9k 995 844 635 443 78 3.4k
Erin E. Talbert 1.1k 0.6× 1.1k 1.2× 758 0.9× 409 0.6× 363 0.8× 41 2.8k
Andrew R. Judge 1.5k 0.8× 1.2k 1.2× 445 0.5× 357 0.6× 219 0.5× 67 2.9k
Ashley J. Smuder 1.9k 1.0× 1.2k 1.2× 848 1.0× 574 0.9× 1.2k 2.7× 102 4.4k
Ramon Langen 2.4k 1.3× 1.9k 1.9× 517 0.6× 468 0.7× 973 2.2× 105 4.4k
Rémi Mounier 3.2k 1.7× 2.0k 2.0× 1.2k 1.4× 682 1.1× 311 0.7× 79 6.1k
Joffrey Zoll 1.9k 1.0× 1.5k 1.5× 347 0.4× 528 0.8× 427 1.0× 95 5.8k
Claudio Cabello‐Verrugio 2.2k 1.2× 1.1k 1.1× 301 0.4× 710 1.1× 241 0.5× 113 4.2k
R. Thomas Jagoe 3.8k 2.1× 2.4k 2.4× 671 0.8× 1.1k 1.7× 538 1.2× 52 6.1k
Yan Burelle 2.5k 1.3× 1.2k 1.2× 199 0.2× 422 0.7× 334 0.8× 81 4.0k
Ellen C. Breen 1.5k 0.8× 859 0.9× 351 0.4× 310 0.5× 802 1.8× 69 3.4k

Countries citing papers authored by Joseph M. McClung

Since Specialization
Citations

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

Fields of papers citing papers by Joseph M. McClung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph M. McClung. 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 Joseph M. McClung. The network helps show where Joseph M. McClung may publish in the future.

Co-authorship network of co-authors of Joseph M. McClung

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph M. McClung. A scholar is included among the top collaborators of Joseph M. McClung 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 Joseph M. McClung. Joseph M. McClung 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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