Peter J. McCormick

7.3k citations
158 papers · 4.9k · h-index 41

Impact in

Papers in

Peter J. McCormick

138 papers receiving 4.7k citations

Peers

Peter J. McCormick
Comparison fields: 5 of 174
  • Physiology 338
  • Cellular and Molecular Neuroscience 1.3k
  • Biological Psychiatry 116
  • Endocrine and Autonomic Systems 238
  • Molecular Biology 2.2k
Replace John Allen with:
John Allen United States
David Glick United States
John W. Scott United States
Paul Simpson United States
Helen Cooper Australia
Alessandro Vercelli Italy
William J. Bowers United States
David R. Sibley United States
Sylvia B. Smith United States
John B. Clark United Kingdom
Peter J. McCormick relative to John Allen United States John Allen's profile →
Citations per field
00.5×6.1×
John Allen · 1×
Citations per year

Countries citing papers authored by Peter J. McCormick

Since Specialization
Citations

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

Fields of papers citing papers by Peter J. McCormick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter J. McCormick, 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 Peter J. McCormick Line = papers co-authored together Peter J. McCormick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002469
2 2004295
3 2012186
4 2018150
5 2015143
6 2010141
7 2012122
8 2013116
9 2013109
10 2014102
11 2005100
12 201099
13 201291
14 201491
15 201687
16 200384
17 201178
18 200877
19 201876
20 200676

About Peter J. McCormick

Peter J. McCormick is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Law, Physiology and Sociology and Political Science, having authored 158 papers that have together received 4.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (40 papers), Judicial and Constitutional Studies (18 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Adenosine and Purinergic Signaling (13 papers), Neuropeptides and Animal Physiology (12 papers), Neuroscience and Neuropharmacology Research (9 papers), Criminal Law and Evidence (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). The work is most often cited by research in Physiology (338 citations), Cellular and Molecular Neuroscience (1.3k citations), Biological Psychiatry (116 citations), Endocrine and Autonomic Systems (238 citations) and Molecular Biology (2.2k citations). Peter J. McCormick has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Martha E. Lee, Arthur E. Johnson, Estefanía Moreno, Enric I. Canela, Vicent Casadó, Josefa Mallol, Cheryl A. Woolhead, Rafael Franco, Antoni Cortés and Gemma Navarro. Their work appears in journals such as Journal of Biological Chemistry, Journal of Aesthetics and Art Criticism, Blood, Journal of Canadian Studies and Canadian Journal of Political Science.

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.

Explore authors with similar magnitude of impact