Gabriel G. Perron

3.6k citations
40 papers · 2.4k indexed · 1 hit paper · h-index 20
Topics
Antibiotic Resistance in Bacteria (12 papers)Evolution and Genetic Dynamics (12 papers)Gut microbiota and health (8 papers)

In The Last Decade

Gabriel G. Perron

39 papers receiving 2.3k citations

Hit Papers

Antibiotic Pollution in the Environment: From Microbial E...20192026202120232019200400600

Peers

Gabriel G. Perron
Comparison fields: 5 of 127
  • Molecular Biology 781
  • Genetics 599
  • Pollution 541
  • Molecular Medicine 516
  • Ecology 360
Replace Nicholas Waglechner with:
Nicholas Waglechner Canada
Alison J. Baylay United Kingdom
Teresa M. Barbosa Ireland
Pål J. Johnsen Norway
Alicia Fajardo Lubián Australia
Allison J. Lopatkin United States
Wilson W. L. Sung Canada
Lindsay Kalan United States
Mariya Morar United States
Karen A. Cloud-Hansen United States
Gabriel G. Perron relative to Nicholas Waglechner Canada Nicholas Waglechner's profile →
Citations per field
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Nicholas Waglechner · 1×
Citations per year

Countries citing papers authored by Gabriel G. Perron

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel G. Perron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel G. Perron. 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 Gabriel G. Perron. The network helps show where Gabriel G. Perron may publish in the future.

Co-authorship network of co-authors of Gabriel G. Perron

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel G. Perron. A scholar is included among the top collaborators of Gabriel G. Perron 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 Gabriel G. Perron. Gabriel G. Perron 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
#WorkIndexed citations
1 2
2 1
3 1
4 7
5 5
6 15
7 12
8 3
9
Antibiotic Pollution in the Environment: From Microbial Ecology to Public Policybreakdown →
721
10 47
11 50
12 15
13 3
14 164
15 3
16 137
17 54
18 29
19 62
20 27

About Gabriel G. Perron

Gabriel G. Perron is a scholar working on Molecular Medicine, Pollution and Applied Microbiology and Biotechnology, having authored 40 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (12 papers), Evolution and Genetic Dynamics (12 papers) and Gut microbiota and health (8 papers). The work is most often cited by research in Molecular Medicine (516 citations), Applied Microbiology and Biotechnology (139 citations) and Microbiology (305 citations). Gabriel G. Perron has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Arthi Ramachandran, Susanne A. Kraemer, Angus Buckling, Graham Bell, R. Craig MacLean, Michael Zasloff, Alex R. Hall, Andrew Gonzalez, Andy Gardner and Thilo Köhler. Their work appears in journals such as PLoS ONE, Nature Reviews Genetics and The Science of The Total Environment.

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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