P.J. Coombs
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- Glycosylation and Glycoproteins Research 4
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 2
-
- Influenza Virus Research Studies 6
- Co-authors
- Kurt Drickamer (4 shared papers)Maureen E. Taylor (4 shared papers)P.A. Walker (6 shared papers)J.J. Skehel (5 shared papers)S.J. Gamblin (5 shared papers)Junfeng Liu (4 shared papers)Xiaoli Xiong (4 shared papers)John W. McCauley (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)ACS Chemical Biology (1 paper)Glycobiology (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
P.J. Coombs
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 77
- Epidemiology 594
- Immunology 338
- Agronomy and Crop Science 140
- Infectious Diseases 179
- Virology 43
Countries citing papers authored by P.J. Coombs
This map shows the geographic impact of P.J. Coombs'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 P.J. Coombs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P.J. Coombs more than expected).
Fields of papers citing papers by P.J. Coombs
This network shows the impact of papers produced by P.J. Coombs. 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 P.J. Coombs. The network helps show where P.J. Coombs may publish in the future.
Co-authors
The 25 scholars most cited alongside P.J. Coombs, 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 | 2012 | 230 | |
| 2 | 2013 | 193 | |
| 3 | 2009 | 158 | |
| 4 | 2006 | 145 | |
| 5 | 2014 | 86 | |
| 6 | 2005 | 61 | |
| 7 | 2006 | 52 | |
| 8 | 2017 | 41 | |
| 9 | 2013 | 32 | |
| 10 | 2015 | 28 | |
| 11 | 2009 | 27 | |
| 12 | 2014 | 24 | |
| 13 | 2015 | 20 | |
| 14 | 2018 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2019 | 11 | |
| 18 | 2020 | 7 | |
| 19 | 2014 | 5 |
About P.J. Coombs
P.J. Coombs is a scholar working on Molecular Biology, Epidemiology, Immunology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), DNA Repair Mechanisms (2 papers), HIV/AIDS drug development and treatment (2 papers), Malaria Research and Control (2 papers), Computational Drug Discovery Methods (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Epidemiology (594 citations), Immunology (338 citations), Agronomy and Crop Science (140 citations), Infectious Diseases (179 citations) and Virology (43 citations). P.J. Coombs has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Kurt Drickamer, Maureen E. Taylor, P.A. Walker, J.J. Skehel, S.J. Gamblin, Junfeng Liu, Xiaoli Xiong, John W. McCauley, Stephen R. Martin and Rupert J. Russell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, ACS Chemical Biology and Glycobiology.
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.