M Benoit

27 papers receiving 939 citations

Peers

M Benoit
Comparison fields: 5 of 113
  • Aging 36
  • Physiology 324
  • Molecular Medicine 60
  • Endocrinology 50
  • Process Chemistry and Technology 27
Replace Francisco J. Fernández with:
Francisco J. Fernández Spain
Victor G. Stepanov United States
H. Kanazawa Japan
Marina Raguse Germany
Keiji Suzuki Japan
Yu-Ching Chen United States
Cécile Feuillie France
Jonathan L. McMurry United States
Olga Zaborina United States
M Benoit relative to Francisco J. Fernández Spain Francisco J. Fernández's profile →
Citations per field
00.5×5×10×13.5×
Francisco J. Fernández · 1×
Citations per year

Countries citing papers authored by M Benoit

Since Specialization
Citations

This map shows the geographic impact of M Benoit'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 M Benoit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Benoit more than expected).

Fields of papers citing papers by M Benoit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M Benoit. 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 M Benoit. The network helps show where M Benoit may publish in the future.

Co-authors

The 25 scholars most cited alongside M Benoit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M Benoit Line = papers co-authored together M Benoit links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014162
2 2010150
3 2006121
4 2009104
5 200782
6 200678
7 200556
8
Extracellular mass transport considerations for space flight research concerning suspended and adherent in vitro cell cultures.
200432
9 201426
10 201123
11 200520
12 199817
13 201615
14 200214
15 200813
16
INCREASED BACTERIAL RESISTANCE AND VIRULENCE IN SIMULATED MICROGRAVITY AND ITS MOLECULAR BASIS
200712
17 201112
18 20157
19 20087
20 19826

About M Benoit

M Benoit is a scholar working on Physiology, Astronomy and Astrophysics, Aerospace Engineering, Molecular Biology and Biomedical Engineering, having authored 29 papers that have together received 970 indexed citations. Recurring topics across this work include Spaceflight effects on biology (10 papers), Planetary Science and Exploration (7 papers), Space Exploration and Technology (6 papers), Space Science and Extraterrestrial Life (4 papers), Bacterial biofilms and quorum sensing (3 papers), Antibiotic Resistance in Bacteria (2 papers), Nutrition and Health in Aging (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Aging (36 citations), Physiology (324 citations), Molecular Medicine (60 citations), Endocrinology (50 citations) and Process Chemistry and Technology (27 citations). M Benoit has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include A. Matin, David M. Klaus, Susan V. Lynch, Michael A. Schwartz, Cristian Ionescu‐Zanetti, Carolyn G. Conant, P. S. Ayyaswamy, K. Mukundakrishnan, Scott J. Novick and Richard J. Fox. Their work appears in journals such as Applied and Environmental Microbiology, Antimicrobial Agents and Chemotherapy, Annals of Nutrition and Metabolism, Clinical Cancer Research and Biochemical and Biophysical Research Communications.

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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