M. Véron

3.8k citations
104 papers · 3.2k indexed · h-index 31

M. Véron

102 papers receiving 3.0k citations

Peers

M. Véron
Comparison fields: 5 of 114
  • Cell Biology 622
  • Endocrinology 185
  • Aging 62
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 539
Replace Gérard Strecker with:
Gérard Strecker France
Louise Clarke United States
John W. Dubendorff United States
Susan T. Lovett United States
Javier Arroyo Spain
James B. Konopka United States
James L. Hartley United States
Karl‐Anders Karlsson Sweden
Claus Urbanke Germany
Stanley Tabor United States
M. Véron relative to Gérard Strecker France Gérard Strecker's profile →
Citations per field
00.5×9.6×
Gérard Strecker · 1×
Citations per year

Countries citing papers authored by M. Véron

Since Specialization
Citations

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

Fields of papers citing papers by M. Véron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20181
2 200640
3 19987
4 199744
5 199616
6 19951
7 199511
8 199516
9 199327
10 19936
11 199287
12 199078
13 19876
14 198275
15
Biochemical and serological characterisation of Bacillus sphaericus strains, pathogenic or non-pathogenic for mosquitoes.
19801
16
Effect of antibiotics on mucoid strains of Pseudomonas aeruginosa.
19797
17
[The bacterial flora of the appendix in children].
19781
18
[Nutrition and taxonomy of "enterobacteriaceae" and related bacteria. II. General results and classification (author's transl)].
19755
19
[A critical study of methods in numerical taxonomy. The classification of aquatic bacteria (author's transl)].
19734
20
[Numerical taxonomy of vibrios and various comparable bacteria. II. Correlation between phenotypic similarities and DNA base compositions].
196610

About M. Véron

M. Véron is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 104 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mechanisms of cancer metastasis (24 papers), Antibiotic Resistance in Bacteria (12 papers), Cancer Mechanisms and Therapy (12 papers), Cellular Mechanics and Interactions (11 papers), Microtubule and mitosis dynamics (8 papers), MXene and MAX Phase Materials (7 papers), Bacterial biofilms and quorum sensing (6 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). The work is most often cited by research in Cell Biology (622 citations), Endocrinology (185 citations) and Aging (62 citations). M. Véron has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include M Sébald, I. Lascu, Jean de Gunzburg, Ioan Lascu, Jason G. Williams, Neil A. Hopper, Adrian J. Harwood, Marie‐Lise Lacombe, S. Moréra and Valérie Wallet. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

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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