Gabriel Mitchell
Impact in
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Tuberculosis Research and Epidemiology
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety
Papers in
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- Antimicrobial Resistance in Staphylococcus 9
- Tuberculosis Research and Epidemiology 4
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- Listeria monocytogenes in Food Safety 4
- Co-authors
- François Malouin (13 shared papers)Kamal Bouarab (5 shared papers)Mariza Gattuso (3 shared papers)Daniel A. Portnoy (6 shared papers)Chen Chen (6 shared papers)Rocío González-Lamothe (1 shared paper)Moussa S. Diarra (1 shared paper)David Lalonde Séguin (4 shared papers)
- Journals
- Nature Microbiology (2 papers)Infection and Immunity (2 papers)Cell Host & Microbe (2 papers)PLoS Pathogens (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Gabriel Mitchell
32 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 82
- Infectious Diseases 384
- Biotechnology 134
- Drug Discovery 4
- Parasitology 76
- Microbiology 65
Countries citing papers authored by Gabriel Mitchell
This map shows the geographic impact of Gabriel Mitchell'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 Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Mitchell more than expected).
Fields of papers citing papers by Gabriel Mitchell
This network shows the impact of papers produced by Gabriel Mitchell. 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 Mitchell. The network helps show where Gabriel Mitchell may publish in the future.
Co-authors
The 25 scholars most cited alongside Gabriel Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 331 | |
| 2 | 2010 | 140 | |
| 3 | 2016 | 103 | |
| 4 | 2011 | 93 | |
| 5 | 2017 | 87 | |
| 6 | 2013 | 84 | |
| 7 | 2015 | 83 | |
| 8 | 2014 | 81 | |
| 9 | 2017 | 73 | |
| 10 | 2023 | 69 | |
| 11 | 2017 | 64 | |
| 12 | 2019 | 63 | |
| 13 | 2011 | 60 | |
| 14 | 2009 | 59 | |
| 15 | 2008 | 52 | |
| 16 | 2018 | 47 | |
| 17 | 2014 | 40 | |
| 18 | 2018 | 40 | |
| 19 | 2019 | 30 | |
| 20 | 2022 | 25 |
About Gabriel Mitchell
Gabriel Mitchell is a scholar working on Infectious Diseases, Biotechnology, Molecular Biology, Epidemiology and Immunology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (11 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Autophagy in Disease and Therapy (6 papers), Listeria monocytogenes in Food Safety (4 papers), Tuberculosis Research and Epidemiology (4 papers), Malaria Research and Control (3 papers), Bacterial Genetics and Biotechnology (3 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Infectious Diseases (384 citations), Biotechnology (134 citations), Drug Discovery (4 citations), Parasitology (76 citations) and Microbiology (65 citations). Gabriel Mitchell has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include François Malouin, Kamal Bouarab, Mariza Gattuso, Daniel A. Portnoy, Chen Chen, Rocío González-Lamothe, Moussa S. Diarra, David Lalonde Séguin, André M. Cantin and Ralph R. Isberg. Their work appears in journals such as Nature Microbiology, Infection and Immunity, Cell Host & Microbe, PLoS Pathogens and PLoS ONE.
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.