Marie S. Prevost

2.1k citations
18 papers · 1.5k indexed · 1 hit paper · h-index 11
Topics
Nicotinic Acetylcholine Receptors Study (13 papers)Receptor Mechanisms and Signaling (7 papers)Ion channel regulation and function (6 papers)

In The Last Decade

Marie S. Prevost

17 papers receiving 1.5k citations

Hit Papers

Secretion systems in Gram-negative bacteria: structural a...20152026201820222015250500750

Peers

Marie S. Prevost
Comparison fields: 5 of 96
  • Molecular Biology 999
  • Endocrinology 302
  • Cellular and Molecular Neuroscience 254
  • Genetics 254
  • Ecology 170
Replace Suely Lopes Gomes with:
Suely Lopes Gomes Brazil
Carmen K. M. Chan Hong Kong
Michelle M. Barnhart United States
Stefanie Wagner Germany
M.E. Cuff United States
Jonas Borch Denmark
Dmitri A. Ryjenkov United States
Sudeshna Kar India
Martin Cohen‐Gonsaud France
Wieland Steinchen Germany
Marie S. Prevost relative to Suely Lopes Gomes Brazil Suely Lopes Gomes's profile →
Citations per field
00.5×1.5×2.5×
Suely Lopes Gomes · 1×
Citations per year

Countries citing papers authored by Marie S. Prevost

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Marie S. Prevost

This figure shows the co-authorship network connecting the top 25 collaborators of Marie S. Prevost. A scholar is included among the top collaborators of Marie S. Prevost 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 Marie S. Prevost. Marie S. Prevost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 0
2 10
3 7
4 4
5 9
6 7
7 13
8 12
9 8
10 173
11
Secretion systems in Gram-negative bacteria: structural and mechanistic insightsbreakdown →
780
12 1
13 16
14 27
15 122
16 176
17 73
18 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) and Ion channel regulation and function (6 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.

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