Peter N. Monk

8.2k citations
127 papers · 6.2k indexed · 1 hit paper · h-index 44

Impact in

Papers in

Peter N. Monk

126 papers receiving 6.1k citations

Hit Papers

CD81 Is Required for Hepatitis C Virus Glycoprotein-Mediated Viral Infection 2004 · 287 citations
287200420262011201850100150200250

Peers

Peter N. Monk
Comparison fields: 5 of 124
  • Immunology and Allergy 780
  • Immunology 2.6k
  • Hepatology 801
  • Neurology 518
  • Genetics 641
Replace Patrice Dubreuil with:
Patrice Dubreuil France
Shixin Qin United States
Nagahiro Minato Japan
Makoto Naito Japan
Diane Pennica United States
David C. Wraith United Kingdom
Massimo Sargiacomo Italy
Hitoshi Kikutani Japan
Michael Hahne France
K. Mark Coggeshall United States
Peter N. Monk relative to Patrice Dubreuil France Patrice Dubreuil's profile →
Citations per field
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Patrice Dubreuil · 1×
Citations per year

Countries citing papers authored by Peter N. Monk

Since Specialization
Citations

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

Fields of papers citing papers by Peter N. Monk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20236
3 20235
4 20231
5 20211
6 202030
7 202013
8 201710
9 201529
10 201413
11 20114
12 201119
13 2009141
14 2007323
15
Complement C5a receptors are expressed throughout the anterior pituitary gland
20052
16 200366
17 199728
18
A role for CD63 in signal transduction
19961
19 199519
20
Alerting in Database Systems: Concepts and Techniques.
19762

About Peter N. Monk

Peter N. Monk is a scholar working on Immunology and Allergy, Physiology, Immunology, Hematology and Genetics, having authored 127 papers that have together received 6.2k indexed citations. Recurring topics across this work include Complement system in diseases (42 papers), Cell Adhesion Molecules Research (28 papers), Receptor Mechanisms and Signaling (22 papers), Monoclonal and Polyclonal Antibodies Research (20 papers), Platelet Disorders and Treatments (13 papers), Adenosine and Purinergic Signaling (11 papers), Amyotrophic Lateral Sclerosis Research (9 papers) and Immune Response and Inflammation (9 papers). The work is most often cited by research in Immunology and Allergy (780 citations), Immunology (2.6k citations), Hepatology (801 citations), Neurology (518 citations) and Genetics (641 citations). Peter N. Monk has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Adrian Higginbottom, Stuart A. Cain, Lynda J. Partridge, Pamela J. Shaw, Trent M. Woodruff, Jane A. McKeating, David P. Fairlie, Andreas Klos, Stephen M. Taylor and Adam Finn. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology, Molecular Immunology, Journal of Virology and PLoS ONE.

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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