M Scavizzi

22 papers receiving 590 citations

Peers

M Scavizzi
Comparison fields: 5 of 77
  • Molecular Medicine 264
  • Endocrinology 137
  • Pharmacology 109
  • Genetics 255
  • Applied Microbiology and Biotechnology 18
Replace G. Seltmann with:
G. Seltmann Germany
Monique Malléa France
Asunción Seoane Spain
K. Coleman United States
Charlotta Sundin Sweden
Austin S. Nuxoll United States
Xuan Wang‐Kan United Kingdom
Ingegerd Gustafsson Sweden
Barbara A. Pelak United States
D Billot-Klein France
M Scavizzi relative to G. Seltmann Germany G. Seltmann's profile →
Citations per field
00.5×5.7×
G. Seltmann · 1×
Citations per year

Countries citing papers authored by M Scavizzi

Since Specialization
Citations

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

Fields of papers citing papers by M Scavizzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968236
2 1972143
3
[Human "Yersinia enterocolitica" septicemia. 17 recent cases].
197151
4 199448
5 200745
6 198539
7 199125
8 199624
9 200421
10 198719
11 197615
12 199613
13 197113
14 20068
15 20027
16
[Septicemia due to Yersinia enterocolitica: a case].
19715
17 19834
18
[A statistical model for interpreting the antibiogram].
19874
19 19882
20 19912

About M Scavizzi

M Scavizzi is a scholar working on Genetics, Molecular Medicine, Pharmacology, Epidemiology and Pharmacology, having authored 25 papers that have together received 728 indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (9 papers), Antibiotic Resistance in Bacteria (8 papers), Pharmacological Effects of Natural Compounds (6 papers), Plant-based Medicinal Research (5 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Bacteriophages and microbial interactions (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Molecular Medicine (264 citations), Endocrinology (137 citations), Pharmacology (109 citations), Genetics (255 citations) and Applied Microbiology and Biotechnology (18 citations). M Scavizzi has collaborated with scholars based in France, Germany and Ivory Coast. Frequent co-authors include Y Chabbert, D. H. Bouanchaud, G Gerbaud, Patrick A. D. Grimont, Annie Guiyoule, A. Philippon, Thi Anh Hong Le, Stéphane Bonacorsi, Élisabeth Carniel and Tov Omland. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Clinical Microbiology, Journal of Bacteriology, International Journal of Antimicrobial Agents 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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