Brian K. Coombes

9.3k total citations · 4 hit papers
121 papers, 6.8k citations indexed

About

Brian K. Coombes is a scholar working on Endocrinology, Molecular Biology and Food Science. According to data from OpenAlex, Brian K. Coombes has authored 121 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Endocrinology, 42 papers in Molecular Biology and 41 papers in Food Science. Recurrent topics in Brian K. Coombes's work include Escherichia coli research studies (44 papers), Salmonella and Campylobacter epidemiology (39 papers) and Vibrio bacteria research studies (29 papers). Brian K. Coombes is often cited by papers focused on Escherichia coli research studies (44 papers), Salmonella and Campylobacter epidemiology (39 papers) and Vibrio bacteria research studies (29 papers). Brian K. Coombes collaborates with scholars based in Canada, United States and United Kingdom. Brian K. Coombes's co-authors include B. Brett Finlay, James B. Mahony, Nat F. Brown, Sarah A. Reid‐Yu, Eric D. Brown, Gerard D. Wright, Mark E. Wickham, Caressa N. Tsai, Joseph B. McPhee and Maya A. Farha and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Brian K. Coombes

114 papers receiving 6.6k citations

Hit Papers

A draft genome of Yersinia pestis from victims of the Bla... 2011 2026 2016 2021 2011 2014 2023 2025 100 200 300 400

Peers

Brian K. Coombes
Comparison fields: 5 of 156
  • Molecular Biology 2.5k
  • Endocrinology 1.9k
  • Food Science 1.6k
  • Molecular Medicine 1.4k
  • Genetics 1.4k
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Citations per field, relative to Brian K. Coombes
Brian K. Coombes · 1×
Citations per year, relative to Brian K. Coombes
Brian K. Coombes · 1×

Countries citing papers authored by Brian K. Coombes

Since Specialization
Citations

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

Fields of papers citing papers by Brian K. Coombes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian K. Coombes. 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 Brian K. Coombes. The network helps show where Brian K. Coombes may publish in the future.

Co-authorship network of co-authors of Brian K. Coombes

This figure shows the co-authorship network connecting the top 25 collaborators of Brian K. Coombes. A scholar is included among the top collaborators of Brian K. Coombes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Brian K. Coombes. Brian K. Coombes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4
A broad-spectrum lasso peptide antibiotic targeting the bacterial ribosome breakdown →
24
5
Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii breakdown →
183
6 1
7 42
8 132
9 46
10 29
11 29
12 136
13 80
14 145
15 54
16 52
17 131
18 81
19 154
20 32

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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