Guy Mazué

38 papers receiving 930 citations

Peers

Guy Mazué
Comparison fields: 5 of 105
  • Public Health, Environmental and Occupational Health 261
  • Parasitology 60
  • Pharmacology 65
  • Cardiology and Cardiovascular Medicine 137
  • Epidemiology 208
Replace Esther Bettiol with:
Esther Bettiol Switzerland
H. U. Gubler Japan
R W Grady United States
Mirza S. Baig India
Candice Johnson United States
Weening Rs Netherlands
Faezeh Ghasemi Iran
David M. Richards Germany
G Mathé France
Alain Grodet France
Guy Mazué relative to Esther Bettiol Switzerland Esther Bettiol's profile →
Citations per field
00.5×4.3×
Esther Bettiol · 1×
Citations per year

Countries citing papers authored by Guy Mazué

Since Specialization
Citations

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

Fields of papers citing papers by Guy Mazué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010236
2 200575
3 200664
4 199163
5
Dose-response relationship of dexrazoxane for prevention of doxorubicin-induced cardiotoxicity in mice, rats, and dogs.
199655
6 199350
7 198045
8 199243
9 199543
10 198437
11 200831
12 201226
13 199623
14 199623
15 199922
16 201421
17 199918
18 199517
19 199617
20 199412

About Guy Mazué

Guy Mazué is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Molecular Biology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 40 papers that have together received 992 indexed citations. Recurring topics across this work include Chemotherapy-induced cardiotoxicity and mitigation (6 papers), Cancer Treatment and Pharmacology (4 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Pregnancy and preeclampsia studies (2 papers) and Antibiotics Pharmacokinetics and Efficacy (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (261 citations), Parasitology (60 citations), Pharmacology (65 citations), Cardiology and Cardiovascular Medicine (137 citations) and Epidemiology (208 citations). Guy Mazué has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Marco Brughera, Paola Della Torre, Reto Brun, Els Torreele, Bernadette Bourdin Trunz, Michael Bray, David Tweats, Bernard Pécoul, Marcel Kaiser and Monica Longo. Their work appears in journals such as Reproductive Toxicology, Toxicologic Pathology, Annals of the New York Academy of Sciences, Experimental and Toxicologic Pathology and Cancer Chemotherapy and Pharmacology.

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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