Paul J. Cocker

29 total papers · 1.0k total citations
24 papers, 770 citations indexed

About

Paul J. Cocker is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Clinical Psychology. According to data from OpenAlex, Paul J. Cocker has authored 24 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 11 papers in Cognitive Neuroscience and 9 papers in Clinical Psychology. Recurrent topics in Paul J. Cocker's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Neural and Behavioral Psychology Studies (7 papers) and Gambling Behavior and Treatments (7 papers). Paul J. Cocker is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Neural and Behavioral Psychology Studies (7 papers) and Gambling Behavior and Treatments (7 papers). Paul J. Cocker collaborates with scholars based in Canada, United Kingdom and France. Paul J. Cocker's co-authors include Catharine A. Winstanley, Jay G. Hosking, Robert D. Rogers, Fiona D. Zeeb, James Benoit, HaoSheng Sun, David Belin, Mélanie Tremblay, Bernard Le Foll and Michael M. Barrus and has published in prestigious journals such as Journal of Neuroscience, Biological Psychiatry and Neuroscience.

In The Last Decade

Paul J. Cocker

24 papers receiving 754 citations

Author Peers

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

Author Last Decade Papers Cites
Paul J. Cocker 446 323 224 143 96 24 770
Françoise Dellu-Hagedorn 388 0.9× 266 0.8× 106 0.5× 172 1.2× 93 1.0× 19 693
Françoise Biver 239 0.5× 312 1.0× 196 0.9× 197 1.4× 72 0.8× 18 824
Kevin F. Casey 395 0.9× 349 1.1× 138 0.6× 134 0.9× 179 1.9× 27 772
Jan Kalbitzer 295 0.7× 225 0.7× 110 0.5× 126 0.9× 87 0.9× 16 669
Katja Ludewig 312 0.7× 255 0.8× 104 0.5× 245 1.7× 138 1.4× 15 737
Pascale Mazzola‐Pomietto 221 0.5× 264 0.8× 191 0.9× 379 2.7× 86 0.9× 33 833
Brandon G. Oberlin 360 0.8× 327 1.0× 82 0.4× 122 0.9× 90 0.9× 33 732
Anushka Fernando 473 1.1× 407 1.3× 96 0.4× 106 0.7× 165 1.7× 17 868
Roger L. Waite 342 0.8× 176 0.5× 98 0.4× 284 2.0× 88 0.9× 29 758
Mihran J. Bakalian 336 0.8× 148 0.5× 128 0.6× 76 0.5× 153 1.6× 23 718

Countries citing papers authored by Paul J. Cocker

Since Specialization
Citations

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

Fields of papers citing papers by Paul J. Cocker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul J. Cocker. 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 Paul J. Cocker. The network helps show where Paul J. Cocker may publish in the future.

Co-authorship network of co-authors of Paul J. Cocker

This figure shows the co-authorship network connecting the top 25 collaborators of Paul J. Cocker. A scholar is included among the top collaborators of Paul J. Cocker 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 Paul J. Cocker. Paul J. Cocker 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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