Marie S. Prevost
- Endocrinology top 2%
- Vibrio bacteria research studies 2
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 2
- Molecular Biology top 10%
- Nicotinic Acetylcholine Receptors Study 13
- Receptor Mechanisms and Signaling 7
- Ion channel regulation and function 6
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- Neuroscience and Neuropharmacology Research 2
- Microbiology top 10%
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- Neonatal Health and Biochemistry 2
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- Monoclonal and Polyclonal Antibodies Research 2
- Co-authors
- Gabriel WaksmanPierre‐Jean CorringerAdam RedzejAmit MeirCatarina Felisberto‐RodriguesTiago R. D. CostaMartina TrokterMarc Delarue
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Nature Communications (1 paper)Neuron (1 paper)
- Partner nations
- FranceUnited KingdomPoland
In The Last Decade
Marie S. Prevost
17 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Endocrinology 302
- Molecular Medicine 138
- Molecular Biology 999
- Cellular and Molecular Neuroscience 254
- Microbiology 61
Countries citing papers authored by Marie S. Prevost
This map shows the geographic impact of Marie S. Prevost'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 Marie S. Prevost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie S. Prevost more than expected).
Fields of papers citing papers by Marie S. Prevost
This network shows the impact of papers produced by Marie S. Prevost. 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 Marie S. Prevost. The network helps show where Marie S. Prevost may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie S. Prevost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 4 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 7 | |
| 7 | 2018 | 13 | |
| 8 | 2017 | 12 | |
| 9 | 2016 | 8 | |
| 10 | 2016 | 173 | |
| 11 | Secretion systems in Gram-negative bacteria: structural and mechanistic insightsbreakdown → | 2015 | 780 |
| 12 | 2014 | 1 | |
| 13 | 2013 | 16 | |
| 14 | 2013 | 27 | |
| 15 | 2012 | 122 | |
| 16 | 2012 | 176 | |
| 17 | 2011 | 73 | |
| 18 | 2009 | 90 |
About Marie S. Prevost
Marie S. Prevost is a scholar working on Molecular Medicine, Endocrinology and Physiology, having authored 18 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (13 papers), Receptor Mechanisms and Signaling (7 papers), Ion channel regulation and function (6 papers), Vibrio bacteria research studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neonatal Health and Biochemistry (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology (302 citations), Molecular Medicine (138 citations) and Molecular Biology (999 citations). Marie S. Prevost has collaborated with scholars based in France, United Kingdom and Poland. Frequent co-authors include Gabriel Waksman, Pierre‐Jean Corringer, Adam Redzej, Amit Meir, Catarina Felisberto‐Rodrigues, Tiago R. D. Costa, Martina Trokter, Marc Delarue, Ákos Nemecz and Ludovic Sauguet. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.
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.