Peter J. Coombs

1.7k citations
22 papers · 1.4k · h-index 16

Impact in

    • Influenza Virus Research Studies
    • Respiratory viral infections research
  • Immunology top 10%
    • Immune Response and Inflammation

Papers in

Peter J. Coombs

22 papers receiving 1.3k citations

Peers

Peter J. Coombs
Comparison fields: 5 of 82
  • Epidemiology 655
  • Immunology 365
  • Agronomy and Crop Science 152
  • Infectious Diseases 220
  • Virology 53
Replace A. Pflug with:
A. Pflug Germany
Zhirnov Op Russia
Gisa Gerold Germany
Kannan Tharakaraman United States
Ivan Košík United States
S.R. Martin United Kingdom
Eugenio Santelli United States
Eri Nobusawa Japan
Peter G. Schoofs Australia
John Clarke United Kingdom
Peter J. Coombs relative to A. Pflug Germany A. Pflug's profile →
Citations per field
00.5×1.5×1.9×
A. Pflug · 1×
Citations per year

Countries citing papers authored by Peter J. Coombs

Since Specialization
Citations

This map shows the geographic impact of Peter 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 Peter 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 Peter J. Coombs more than expected).

Fields of papers citing papers by Peter J. Coombs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012236
2 2013195
3 2009161
4 2006147
5 2017121
6 201487
7 200562
8 200653
9 201746
10 201336
11 201332
12 201528
13 200928
14 201427
15 201521
16 202016
17 201816
18 202215
19 201912
20 20208

About Peter J. Coombs

Peter J. Coombs is a scholar working on Epidemiology, Infectious Diseases, Immunology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Malaria Research and Control (3 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Vectors (2 papers), HIV/AIDS drug development and treatment (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Epidemiology (655 citations), Immunology (365 citations), Agronomy and Crop Science (152 citations), Infectious Diseases (220 citations) and Virology (53 citations). Peter J. Coombs has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Kurt Drickamer, Maureen E. Taylor, P.A. Walker, John James Skehel, Steve J. Gamblin, Junfeng Liu, Xiaoli Xiong, Stephen R. Martin, John W. McCauley and Rupert J. M. Russell. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Proceedings of the National Academy of Sciences, Virology, Journal of Biological Chemistry and Nature.

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