John G. McCoy

48 total papers · 1.4k total citations
33 papers, 1.1k citations indexed

About

John G. McCoy is a scholar working on Cognitive Neuroscience, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience. According to data from OpenAlex, John G. McCoy has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 14 papers in Endocrine and Autonomic Systems and 11 papers in Cellular and Molecular Neuroscience. Recurrent topics in John G. McCoy's work include Sleep and Wakefulness Research (12 papers), Sleep and related disorders (7 papers) and Circadian rhythm and melatonin (7 papers). John G. McCoy is often cited by papers focused on Sleep and Wakefulness Research (12 papers), Sleep and related disorders (7 papers) and Circadian rhythm and melatonin (7 papers). John G. McCoy collaborates with scholars based in United States, United Kingdom and Taiwan. John G. McCoy's co-authors include Robert E. Strecker, Christopher P. Ward, David D. Avery, James T Mckenna, Kacy Redd, Robert W. McCarley, Yuan Luo, Stan A. Kuczaj, Shannon G. Matta and Burt M. Sharp and has published in prestigious journals such as Brain Research, Neuroscience and SLEEP.

In The Last Decade

John G. McCoy

33 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
John G. McCoy 478 304 295 247 191 33 1.1k
Christopher P. Ward 589 1.2× 241 0.8× 317 1.1× 246 1.0× 239 1.3× 31 1.2k
Arianna Novati 395 0.8× 275 0.9× 200 0.7× 233 0.9× 109 0.6× 21 913
Shingo Soya 546 1.1× 244 0.8× 439 1.5× 276 1.1× 163 0.9× 25 954
Laurie L. Wellman 635 1.3× 278 0.9× 203 0.7× 207 0.8× 130 0.7× 57 976
Mathieu Nollet 388 0.8× 188 0.6× 331 1.1× 306 1.2× 144 0.8× 15 996
Heinrich S. Gompf 484 1.0× 500 1.6× 495 1.7× 208 0.8× 135 0.7× 23 1.1k
Virginia Soria 288 0.6× 201 0.7× 321 1.1× 281 1.1× 122 0.6× 67 1.4k
Yan‐Jia Luo 653 1.4× 394 1.3× 308 1.0× 186 0.8× 156 0.8× 25 1.1k
Puja K. Parekh 300 0.6× 532 1.8× 293 1.0× 125 0.5× 263 1.4× 25 1.5k
Teri M. Furlong 603 1.3× 453 1.5× 410 1.4× 154 0.6× 106 0.6× 34 1.1k

Countries citing papers authored by John G. McCoy

Since Specialization
Citations

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

Fields of papers citing papers by John G. McCoy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John G. McCoy

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