R. G. Querry

45 total papers · 1.1k total citations
31 papers, 874 citations indexed

About

R. G. Querry is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Psychiatry and Mental health. According to data from OpenAlex, R. G. Querry has authored 31 papers receiving a total of 874 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 14 papers in Complementary and alternative medicine and 9 papers in Psychiatry and Mental health. Recurrent topics in R. G. Querry's work include Heart Rate Variability and Autonomic Control (17 papers), Cardiovascular and exercise physiology (14 papers) and Cerebral Palsy and Movement Disorders (9 papers). R. G. Querry is often cited by papers focused on Heart Rate Variability and Autonomic Control (17 papers), Cardiovascular and exercise physiology (14 papers) and Cerebral Palsy and Movement Disorders (9 papers). R. G. Querry collaborates with scholars based in United States, Denmark and Netherlands. R. G. Querry's co-authors include P. B. Raven, Scott A. Smith, Kevin Gallagher, M. Strømstad, Patricia Winchester, Paul J. Fadel, Niels H. Secher, K. Ide, Keith E. Tansey and J. W. Williamson and has published in prestigious journals such as The Journal of Physiology, Journal of Applied Physiology and Medicine & Science in Sports & Exercise.

In The Last Decade

R. G. Querry

31 papers receiving 847 citations

Author Peers

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

Author Last Decade Papers Cites
R. G. Querry 434 349 214 179 179 31 874
Niels H. Secher 199 0.5× 113 0.3× 233 1.1× 63 0.4× 59 0.3× 28 914
Lasse Christiansen 93 0.2× 134 0.4× 177 0.8× 88 0.5× 111 0.6× 31 1.0k
J. S. Petrofsky 164 0.4× 238 0.7× 434 2.0× 110 0.6× 76 0.4× 31 1.0k
Elisabetta Marongiu 377 0.9× 362 1.0× 93 0.4× 181 1.0× 36 0.2× 33 734
R Flandrois 188 0.4× 191 0.5× 128 0.6× 65 0.4× 35 0.2× 51 979
Jacqui Raymond 106 0.2× 124 0.4× 286 1.3× 180 1.0× 274 1.5× 20 1.0k
Ronald E. DeMeersman 622 1.4× 161 0.5× 129 0.6× 71 0.4× 23 0.1× 32 1.0k
Angelo Rodio 72 0.2× 82 0.2× 148 0.7× 71 0.4× 143 0.8× 60 744
Patrick Wiegel 350 0.8× 232 0.7× 327 1.5× 23 0.1× 73 0.4× 16 1.1k
M. Labrunée 536 1.2× 274 0.8× 74 0.3× 17 0.1× 41 0.2× 45 781

Countries citing papers authored by R. G. Querry

Since Specialization
Citations

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

Fields of papers citing papers by R. G. Querry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. G. Querry

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