Véronique Martin

1.6k citations
28 papers · 1.1k indexed · h-index 16

Véronique Martin

25 papers receiving 1.1k citations

Peers

Véronique Martin
Comparison fields: 5 of 126
  • Molecular Medicine 370
  • Endocrinology 212
  • Applied Microbiology and Biotechnology 52
  • Food Science 325
  • Clinical Biochemistry 98
Replace Tânia Curião with:
Tânia Curião Spain
Mashkoor Mohsin Pakistan
Mohamed Rhouma Canada
Raquel Regina Bonelli Brazil
Karolina Törneke Sweden
Sadeeq ur Rahman Pakistan
Linda A. Bester South Africa
Rainer Follador Switzerland
Abdul Haque Pakistan
Oksana Lukjančenko Denmark
Véronique Martin relative to Tânia Curião Spain Tânia Curião's profile →
Citations per field
00.5×1.5×2.1×
Tânia Curião · 1×
Citations per year

Countries citing papers authored by Véronique Martin

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20228
4 20222
5 202116
6 202116
7 20209
8 20201
9 201916
10 201789
11 2017177
12 201740
13 201714
14 201716
15 201668
16 201628
17 201416
18 201253
19 2005310
20 199814

About Véronique Martin

Véronique Martin is a scholar working on Molecular Medicine, Endocrinology and Clinical Biochemistry, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Genomics and Phylogenetic Studies (7 papers), Probiotics and Fermented Foods (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Enzyme Production and Characterization (2 papers), Microbial Community Ecology and Physiology (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Medicine (370 citations), Endocrinology (212 citations) and Applied Microbiology and Biotechnology (52 citations). Véronique Martin has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Julian Parkhill, Sharon J. Peacock, Danesh Moradigaravand, Valentin Loux, Marie-Christine Champomier-Vergès, Monique Cornet, Robert Bossy, Monique Zagorec, Stéphane Chaillou and Anne-Marie Dudez. Their work appears in journals such as Genome Biology and Evolution, Genome Research, Genome Medicine, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and Journal of Antimicrobial Chemotherapy.

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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