I.F. Gaunt

131 papers receiving 1.7k citations

Peers

I.F. Gaunt
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 551
  • Cancer Research 459
  • Analytical Chemistry 290
  • Pharmacology 203
  • Small Animals 138
Replace Michael J. Iatropoulos with:
Michael J. Iatropoulos United States
Seiko Tamano Japan
H.P. Til Netherlands
Faith M. Williams United Kingdom
Morizo Ishidate Japan
Jay I. Goodman United States
Jack L. Radomski United States
Eric Fabian Germany
D. Gatehouse United Kingdom
Sebastian Kevekordes Germany
I.F. Gaunt relative to Michael J. Iatropoulos United States Michael J. Iatropoulos's profile →
Citations per field
00.5×5.5×
Michael J. Iatropoulos · 1×
Citations per year

Countries citing papers authored by I.F. Gaunt

Since Specialization
Citations

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

Fields of papers citing papers by I.F. Gaunt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987188
2 1977117
3 2004111
4 196549
5 197648
6 197443
7 197242
8 197741
9 200437
10 197936
11 197536
12 197735
13 197831
14 196531
15 196529
16 197528
17 197627
18 197425
19 198923
20 196922

About I.F. Gaunt

I.F. Gaunt is a scholar working on Nutrition and Dietetics, Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis and Pharmacology, having authored 135 papers that have together received 2.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (23 papers), Biochemical Analysis and Sensing Techniques (17 papers), Dye analysis and toxicity (15 papers), Drug Transport and Resistance Mechanisms (14 papers), Effects and risks of endocrine disrupting chemicals (14 papers), Alcohol Consumption and Health Effects (11 papers), Drug-Induced Hepatotoxicity and Protection (11 papers) and Animal testing and alternatives (10 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (551 citations), Cancer Research (459 citations), Analytical Chemistry (290 citations), Pharmacology (203 citations) and Small Animals (138 citations). I.F. Gaunt has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include P. Grasso, S.D. Gangolli, K.R. Butterworth, Ida S. Kiss, Joan Hardy, J.R. Glaister, A. B. G. Lansdown, F.M.B. Carpanini, J.G. Evans and Paul Brantom. Their work appears in journals such as Food and Chemical Toxicology, Toxicology, American Industrial Hygiene Association Journal, Toxicology and Applied Pharmacology and Alternatives to Laboratory Animals.

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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