Jay Gandy

1.7k citations
60 papers · 1.3k · h-index 18

Impact in

Papers in

    • Pharmacogenetics and Drug Metabolism 6
    • Drug-Induced Hepatotoxicity and Protection 4
    • Carcinogens and Genotoxicity Assessment 10

Jay Gandy

52 papers receiving 1.3k citations

Peers

Jay Gandy
Comparison fields: 5 of 136
  • Health, Toxicology and Mutagenesis 378
  • Pollution 147
  • Cancer Research 167
  • Pharmacology 88
  • Reproductive Medicine 69
Replace Shogo Oishi with:
Shogo Oishi Japan
Pekka Keski‐Rahkonen France
Mai Elobeid Saudi Arabia
Eric O. Uthus United States
Juliana Valentini Brazil
Filiz Hıncal Türkiye
CAROLINA AURORA APEZTEGUIA FERNANDEZ United States
Angela Maria Moro Brazil
Chenjiang Ying China
Jorma O. Järvisalo Finland
Jay Gandy relative to Shogo Oishi Japan Shogo Oishi's profile →
Citations per field
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Shogo Oishi · 1×
Citations per year

Countries citing papers authored by Jay Gandy

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005361
2 2015110
3 201592
4 201590
5 199066
6 201844
7 198340
8 201840
9 199332
10 199630
11 199026
12 199625
13 198324
14 200821
15 198520
16 199020
17 199020
18 199519
19 198318
20 201818

About Jay Gandy

Jay Gandy is a scholar working on Pharmacology, Cancer Research, Immunology, Pollution and Plant Science, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pesticide Exposure and Toxicity (12 papers), Carcinogens and Genotoxicity Assessment (10 papers), Immunotoxicology and immune responses (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Pesticide and Herbicide Environmental Studies (6 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Sperm and Testicular Function (3 papers) and Effects and risks of endocrine disrupting chemicals (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (378 citations), Pollution (147 citations), Cancer Research (167 citations), Pharmacology (88 citations) and Reproductive Medicine (69 citations). Jay Gandy has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Guenter Vollmer, Robert J. Golden, Jordi Salas‐Salvadó, Luis Alberto Moreno, Homero Martı́nez, Stavros Anastasios Kavouras, Takeshi Imamura, T. R. Fukuto, Isabelle Guelinckx and Esmat Nasseri. Their work appears in journals such as European Journal of Nutrition, Toxicology and Applied Pharmacology, Journal of Human Nutrition and Dietetics, Toxicological Sciences and Journal of Toxicology and Environmental Health.

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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