Michel Lavit

966 citations
36 papers · 643 indexed · h-index 14

Impact in

Papers in

Michel Lavit

33 papers receiving 610 citations

Peers

Michel Lavit
Comparison fields: 5 of 97
  • Applied Microbiology and Biotechnology 42
  • Transplantation 54
  • Molecular Medicine 71
  • Pharmacology 186
  • Toxicology 25
Replace María Victoria Martínez Calvo with:
María Victoria Martínez Calvo Spain
Yi Zheng China
Peggy Gandia France
Romain Guilhaumou France
Guillaume Deslandes France
Vincent H Mabasa Canada
Raül Rigo‐Bonnin Spain
Xianglin Zhang China
Christopher R. Curtin United States
Sara Baldelli Italy
Michel Lavit relative to María Victoria Martínez Calvo Spain María Victoria Martínez Calvo's profile →
Citations per field
00.5×4.2×
María Victoria Martínez Calvo · 1×
Citations per year

Countries citing papers authored by Michel Lavit

Since Specialization
Citations

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

Fields of papers citing papers by Michel Lavit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 202223
3 20208
4 201812
5 20162
6 20160
7 20140
8 201425
9 200929
10 200814
11 20078
12 200739
13 200736
14 200795
15 200653
16 200644
17 200413
18 200331
19 199871
20 199642

About Michel Lavit

Michel Lavit is a scholar working on Toxicology, Molecular Medicine, Applied Microbiology and Biotechnology, Emergency Medicine and Transplantation, having authored 36 papers that have together received 643 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (9 papers), Poisoning and overdose treatments (5 papers), Antibiotic Resistance in Bacteria (5 papers), Forensic Toxicology and Drug Analysis (4 papers), HIV/AIDS drug development and treatment (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Analytical Chemistry and Chromatography (2 papers) and Pneumocystis jirovecii pneumonia detection and treatment (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (42 citations), Transplantation (54 citations), Molecular Medicine (71 citations), Pharmacology (186 citations) and Toxicology (25 citations). Michel Lavit has collaborated with scholars based in France, Switzerland and Belgium. Frequent co-authors include Georges Houin, Sylvie Saivin, B. Georges, Étienne Chatelut, Thierry Seguin, Pierre Canal, Lionel Rostaing, Nassim Kamar, Peggy Gandia and Olivier Cointault. Their work appears in journals such as Transplant International, International Journal of Antimicrobial Agents, British Journal of Clinical Pharmacology, Legal Medicine and Clinical Pharmacology & Therapeutics.

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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