Muriel Masi

34 papers receiving 1.7k citations

Muriel Masi's Hit Papers

Porins and small-molecule translocation across the outer membrane of Gram-negative bacteria 2019 · 300 citations
3000+2+4Years since publication100200300

Peers

Muriel Masi
Comparison fields: 5 of 108
  • Molecular Medicine 824
  • Endocrinology 222
  • Microbiology 128
  • Applied Microbiology and Biotechnology 32
  • Genetics 448
Replace Dijun Du with:
Dijun Du United Kingdom
Javier Sánchez‐Céspedes Spain
E. Sauvage Belgium
Timothy J. Opperman United States
Carlos Contreras‐Martel France
Lawrence Mulcahy United States
Irit Levin-Reisman Israel
Ryan T. Cirz United States
Monique Malléa France
Amy K. Cain Australia
Muriel Masi relative to Dijun Du United Kingdom Dijun Du's profile →
Citations per field
00.5×1.5×
Dijun Du · 1×
Citations per year

Countries citing papers authored by Muriel Masi

Since Specialization
Citations

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

Fields of papers citing papers by Muriel Masi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Muriel Masi, 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 Muriel Masi Line = papers co-authored together Muriel Masi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Porins and small-molecule translocation across the outer membrane of Gram-negative bacteria
Hit paper breakdown →
2019300
2 2017263
3 2005185
4 2018120
5 201383
6 200564
7 200157
8 201856
9 201155
10 202053
11 201951
12 201548
13 201847
14 202043
15 201034
16 200733
17 201930
18 202230
19 200529
20 202027

About Muriel Masi

Muriel Masi is a scholar working on Molecular Medicine, Genetics, Molecular Biology, Infectious Diseases and Pharmacology, having authored 36 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (22 papers), Bacterial Genetics and Biotechnology (20 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Clostridium difficile and Clostridium perfringens research (8 papers), Bacteriophages and microbial interactions (6 papers), RNA and protein synthesis mechanisms (4 papers), Gut microbiota and health (2 papers) and Enterobacteriaceae and Cronobacter Research (2 papers). The work is most often cited by research in Molecular Medicine (824 citations), Endocrinology (222 citations), Microbiology (128 citations), Applied Microbiology and Biotechnology (32 citations) and Genetics (448 citations). Muriel Masi has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Jean‐Marie Pagès, Matthieu Réfrégiers, Klaas M. Pos, Jacques Barbe, Mathias Winterhalter, Julia Vergalli, Igor Bodrenko, Silvia Acosta‐Gutiérrez, James H. Naismith and Matteo Ceccarelli. Their work appears in journals such as Journal of Bacteriology, Microbiology, ACS Infectious Diseases, PLoS ONE and Communications Biology.

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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