Paul J. Cocker

1.1k citations
24 papers · 788 · h-index 18

Impact in

Papers in

Paul J. Cocker

24 papers receiving 772 citations

Peers

Paul J. Cocker
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 404
  • Behavioral Neuroscience 74
  • General Decision Sciences 40
  • Cognitive Neuroscience 296
  • Biological Psychiatry 33
Replace Ian A. Mendez with:
Ian A. Mendez United States
Jay G. Hosking Canada
Evan Shelby United States
Milky Kohno United States
Lea M. Hulka Switzerland
Brandon G. Oberlin United States
Leontien Diergaarde Netherlands
Buyean Lee United States
Jennifer R. St. Onge Canada
Kristjan Lääne United Kingdom
Paul J. Cocker relative to Ian A. Mendez United States Ian A. Mendez's profile →
Citations per field
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Ian A. Mendez · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Paul J. Cocker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul J. Cocker Line = papers co-authored together Paul J. Cocker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201498
2 201279
3 201178
4 201174
5 201260
6 201341
7 201438
8 201534
9 201431
10 201730
11 201729
12 201725
13 202120
14 201620
15 201619
16 201919
17 202018
18 201718
19 201616
20 201914

About Paul J. Cocker

Paul J. Cocker is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Clinical Psychology, Experimental and Cognitive Psychology and Psychiatry and Mental health, having authored 24 papers that have together received 788 indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (12 papers), Neural and Behavioral Psychology Studies (7 papers), Memory and Neural Mechanisms (5 papers), Gambling Behavior and Treatments (3 papers), Stress Responses and Cortisol (3 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (2 papers), Mental Health Research Topics (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (404 citations), Behavioral Neuroscience (74 citations), General Decision Sciences (40 citations), Cognitive Neuroscience (296 citations) and Biological Psychiatry (33 citations). Paul J. Cocker has collaborated with scholars based in Canada, United Kingdom and France. Frequent co-authors include Catharine A. Winstanley, Jay G. Hosking, Robert D. Rogers, Fiona D. Zeeb, James Benoit, HaoSheng Sun, Mélanie Tremblay, David Belin, Bernard Le Foll and Michael M. Barrus. Their work appears in journals such as Psychopharmacology, Behavioural Brain Research, Neuropsychopharmacology, Addiction Biology and European Journal of Neuroscience.

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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