Peter N. Monk
Impact in
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research
- Immunology top 0.5%
- Complement system in diseases
- Immune Cell Function and Interaction
Papers in
-
- Cell Adhesion Molecules Research 28
- Physiology 13
- Adenosine and Purinergic Signaling 11
- Co-authors
- Adrian HigginbottomStuart A. CainLynda J. PartridgePamela J. ShawTrent M. WoodruffJane A. McKeatingDavid P. FairlieAndreas Klos
- Journals
- Journal of Biological Chemistry (10 papers)The Journal of Immunology (5 papers)Molecular Immunology (5 papers)Journal of Virology (5 papers)PLoS ONE (5 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Peter N. Monk
126 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology and Allergy 780
- Immunology 2.6k
- Hepatology 801
- Neurology 518
- Genetics 641
Countries citing papers authored by Peter N. Monk
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 1 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 13 | |
| 8 | 2017 | 10 | |
| 9 | 2015 | 29 | |
| 10 | 2014 | 13 | |
| 11 | 2011 | 4 | |
| 12 | 2011 | 19 | |
| 13 | 2009 | 141 | |
| 14 | 2007 | 323 | |
| 15 | Complement C5a receptors are expressed throughout the anterior pituitary gland | 2005 | 2 |
| 16 | 2003 | 66 | |
| 17 | 1997 | 28 | |
| 18 | A role for CD63 in signal transduction | 1996 | 1 |
| 19 | 1995 | 19 | |
| 20 | Alerting in Database Systems: Concepts and Techniques. | 1976 | 2 |
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.