Gabriel G. Perron

3.6k total citations · 1 hit paper
40 papers, 2.4k citations indexed

About

Gabriel G. Perron is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Gabriel G. Perron has authored 40 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 13 papers in Genetics and 12 papers in Molecular Medicine. Recurrent topics in Gabriel G. Perron's work include Antibiotic Resistance in Bacteria (12 papers), Evolution and Genetic Dynamics (12 papers) and Gut microbiota and health (8 papers). Gabriel G. Perron is often cited by papers focused on Antibiotic Resistance in Bacteria (12 papers), Evolution and Genetic Dynamics (12 papers) and Gut microbiota and health (8 papers). Gabriel G. Perron collaborates with scholars based in United States, United Kingdom and Canada. Gabriel G. Perron's 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 and has published in prestigious journals such as PLoS ONE, Nature Reviews Genetics and The Science of The Total Environment.

In The Last Decade

Gabriel G. Perron

39 papers receiving 2.3k citations

Hit Papers

Antibiotic Pollution in the Environment: From Microbial E... 2019 2026 2021 2023 2019 200 400 600

Peers

Gabriel G. Perron
Comparison fields: 5 of 127
  • Molecular Biology 781
  • Genetics 599
  • Pollution 541
  • Molecular Medicine 516
  • Ecology 360
Replace Álvaro San Millán with:
Álvaro San Millán Spain
Allison J. Lopatkin United States
Pål J. Johnsen Norway
Alison J. Baylay United Kingdom
Linus Sandegren Sweden
Sha Cao Sweden
Christian Munck Denmark
Janus A. J. Haagensen Denmark
Miriam Barlow United States
Erik Gullberg Sweden
Álvaro San Millán Spain View profile →
Citations per field, relative to Gabriel G. Perron
Gabriel G. Perron · 1×
Citations per year, relative to Gabriel G. Perron
Gabriel G. Perron · 1×

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
# Work Indexed 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 Policy breakdown →
721
10 47
11 50
12 15
13 3
14 164
15 3
16 137
17 54
18 29
19 62
20 27

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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