M Sébald

76 papers receiving 1.6k citations

Peers

M Sébald
Comparison fields: 5 of 99
  • Clinical Biochemistry 346
  • Molecular Medicine 253
  • Endocrinology 181
  • Infectious Diseases 552
  • Food Science 311
Replace François Lebreton with:
François Lebreton United States
Vicki Adams Australia
Stephen B. Melville United States
Gilles Reysset France
Mohammed Sebaihia United Kingdom
Mahfuzur R. Sarker United States
Daniel Paredes‐Sabja Chile
A. C. Baird‐Parker United Kingdom
Stephen T. Cartman United Kingdom
Vincenzo Savini Italy
M Sébald relative to François Lebreton United States François Lebreton's profile →
Citations per field
00.5×1.5×
François Lebreton · 1×
Citations per year

Countries citing papers authored by M Sébald

Since Specialization
Citations

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

Fields of papers citing papers by M Sébald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979165
2 1993164
3
[BASE DNA CONTENT AND CLASSIFICATION OF VIBRIOS].
1963149
4 1977123
5 1972119
6 199469
7 198954
8
Genetics and molecular biology of anaerobic bacteria
199352
9 198550
10 199548
11 196745
12 197944
13
DNA base content and classification of vibrios
196343
14 197540
15 199334
16 199233
17 198733
18 198325
19 196322
20 199421

About M Sébald

M Sébald is a scholar working on Infectious Diseases, Molecular Biology, Neurology, Endocrinology and Clinical Biochemistry, having authored 78 papers that have together received 1.8k indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (18 papers), Botulinum Toxin and Related Neurological Disorders (16 papers), Bacterial Identification and Susceptibility Testing (13 papers), Gut microbiota and health (7 papers), Antibiotic Resistance in Bacteria (7 papers), Probiotics and Fermented Foods (7 papers), Plant-based Medicinal Research (6 papers) and Yersinia bacterium, plague, ectoparasites research (5 papers). The work is most often cited by research in Clinical Biochemistry (346 citations), Molecular Medicine (253 citations), Endocrinology (181 citations), Infectious Diseases (552 citations) and Food Science (311 citations). M Sébald has collaborated with scholars based in France, United States and Italy. Frequent co-authors include M. Véron, Gaetano Pierpaolo Privitera, Gilles Reysset, A. Dublanchet, Abdellatif Haggoud, Dorothy H. Strong, Charles L. Duncan, H Ionesco, F. Fayolle and Michel Magot. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Microbiology, Clinical Infectious Diseases, Journal of Bacteriology and Applied Microbiology and Biotechnology.

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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