Gabriel Mitchell
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in ⓘ
-
- Vibrio bacteria research studies 4
- Co-authors
- François Malouin (13 shared papers)Kamal Bouarab (5 shared papers)Chen Chen (5 shared papers)Daniel A. Portnoy (5 shared papers)Moussa S. Diarra (1 shared paper)Rocío González-Lamothe (1 shared paper)David Lalonde Séguin (4 shared papers)André M. Cantin (5 shared papers)
- Journals
- General and Comparative Endocrinology (3 papers)PLoS ONE (3 papers)Infection and Immunity (2 papers)Cell Host & Microbe (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- United StatesCanadaAustria
In The Last Decade
Gabriel Mitchell
34 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 118
- Endocrinology 133
- Molecular Medicine 120
- Microbiology 146
- Infectious Diseases 366
- Biotechnology 160
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 289 | |
| 2 | 2010 | 128 | |
| 3 | 2016 | 99 | |
| 4 | 2011 | 86 | |
| 5 | 2017 | 83 | |
| 6 | 2013 | 77 | |
| 7 | 2008 | 76 | |
| 8 | 2014 | 74 | |
| 9 | 2015 | 72 | |
| 10 | 2017 | 66 | |
| 11 | 2009 | 58 | |
| 12 | 2017 | 54 | |
| 13 | 2019 | 53 | |
| 14 | 2011 | 51 | |
| 15 | 2008 | 50 | |
| 16 | 2023 | 49 | |
| 17 | 2018 | 38 | |
| 18 | 2014 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2013 | 24 |
About Gabriel Mitchell
Gabriel Mitchell is a scholar working on Endocrinology, Microbiology, Parasitology, Infectious Diseases and Physiology, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (13 papers), Antimicrobial Resistance in Staphylococcus (10 papers), Autophagy in Disease and Therapy (6 papers), Vibrio bacteria research studies (4 papers), Biochemical and Structural Characterization (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Listeria monocytogenes in Food Safety (3 papers) and Bacterial Genetics and Biotechnology (3 papers). The work is most often cited by research in Endocrinology (133 citations), Molecular Medicine (120 citations), Microbiology (146 citations), Infectious Diseases (366 citations) and Biotechnology (160 citations). Gabriel Mitchell has collaborated with scholars based in United States, Canada and Austria. Frequent co-authors include François Malouin, Kamal Bouarab, Chen Chen, Daniel A. Portnoy, Moussa S. Diarra, Rocío González-Lamothe, David Lalonde Séguin, André M. Cantin, Ralph R. Isberg and Éric Frost. Their work appears in journals such as General and Comparative Endocrinology, PLoS ONE, Infection and Immunity, Cell Host & Microbe and Antimicrobial Agents and Chemotherapy.
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.