Peter Colman

769 citations
13 papers · 536 · h-index 8

Impact in

    • Functional Brain Connectivity Studies
    • Neural and Behavioral Psychology Studies
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

Peter Colman

13 papers receiving 525 citations

Peers

Peter Colman
Comparison fields: 5 of 94
  • Cognitive Neuroscience 151
  • Immunology 118
  • Biological Psychiatry 10
  • Behavioral Neuroscience 14
  • Rheumatology 47
Replace Zsófia Kardos with:
Zsófia Kardos Hungary
Yifeng Wang China
Orlando Garcea Argentina
Ellen Anckaert Belgium
Yanhui Chen China
V. L. Beckett United States
Brian C. Toy United States
Yinin Hu United States
Tzu‐Ting Chen Taiwan
Sonya Steele United States
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Citations per field
00.5×2.8×
Zsófia Kardos · 1×
Citations per year

Countries citing papers authored by Peter Colman

Since Specialization
Citations

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

Fields of papers citing papers by Peter Colman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2012235
2 201791
3 201166
4 201838
5 200724
6 200022
7 201220
8 201713
9 19877
10 19877
11 20096
12 20094
13 19873

About Peter Colman

Peter Colman is a scholar working on Pharmacology, Infectious Diseases, Epidemiology, Statistics and Probability and Molecular Biology, having authored 13 papers that have together received 536 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (3 papers), Statistical Methods in Clinical Trials (2 papers), Functional Brain Connectivity Studies (1 paper), Systemic Lupus Erythematosus Research (1 paper), RNA regulation and disease (1 paper), Streptococcal Infections and Treatments (1 paper), Neurological disorders and treatments (1 paper) and Photodynamic Therapy Research Studies (1 paper). The work is most often cited by research in Cognitive Neuroscience (151 citations), Immunology (118 citations), Biological Psychiatry (10 citations), Behavioral Neuroscience (14 citations) and Rheumatology (47 citations). Peter Colman has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Leila Haddad, Frederick J. Wilson, Katrin Morgen, Carina Sauer, Heike Tost, Andreas Meyer‐Lindenberg, Adam J. Schwarz, Daniela Mier, Christine Esslinger and Antje B. M. Gerdes. Their work appears in journals such as PLoS ONE, Veterinary Record, Gastroenterology, Clinical Pharmacology & Therapeutics and Pharmaceutical Statistics.

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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