F. Gallissot

818 citations
21 papers · 634 · h-index 14

Impact in

Papers in

F. Gallissot

21 papers receiving 609 citations

Peers

F. Gallissot
Comparison fields: 5 of 91
  • Health, Toxicology and Mutagenesis 417
  • Cancer Research 168
  • Chemical Health and Safety 5
  • Pollution 56
  • Small Animals 32
Replace Catherine S. Mao with:
Catherine S. Mao United States
Hirokazu Okuda Japan
Kunio Kawashima Japan
Emiko Miyawaki Japan
Naohide Inoue Japan
Alicia Granada Spain
Kristina Schaedlich Germany
Thierry N’Tumba-Byn France
Nadeem Rezaq Janjua Denmark
Xuezhi Jiang China
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Citations per field
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Catherine S. Mao · 1×
Citations per year

Countries citing papers authored by F. Gallissot

Since Specialization
Citations

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

Fields of papers citing papers by F. Gallissot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside F. Gallissot, 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 F. Gallissot Line = papers co-authored together F. Gallissot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200883
2 200273
3 199867
4 200961
5 200661
6 200946
7 200340
8 200238
9 201128
10 200624
11 201019
12 200719
13 200814
14 200713
15 200613
16 201311
17 200510
18 19997
19 19993
20 19973

About F. Gallissot

F. Gallissot is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Rheumatology, Clinical Biochemistry and Developmental Neuroscience, having authored 21 papers that have together received 634 indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (15 papers), Carcinogens and Genotoxicity Assessment (13 papers), Toxic Organic Pollutants Impact (5 papers), Folate and B Vitamins Research (3 papers), Metabolism and Genetic Disorders (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Pharmacological Effects and Toxicity Studies (1 paper) and Chemical Safety and Risk Management (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (417 citations), Cancer Research (168 citations), Chemical Health and Safety (5 citations), Pollution (56 citations) and Small Animals (32 citations). F. Gallissot has collaborated with scholars based in France. Frequent co-authors include Anne‐Marie Saillenfait, Jean‐Philippe Sabaté, Isabelle Langonné, G. Morel, Pierre Bonnet, Alain‐Claude Roudot, J. P. Payan, Nathalie Bourgès‐Abella, Marie‐Christine Chagnon and Aurélie Remy. Their work appears in journals such as Food and Chemical Toxicology, Reproductive Toxicology, Toxicological Sciences, Toxicology Letters and Journal of Applied Toxicology.

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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