J.A. Styles

74 papers receiving 2.0k citations

Peers

J.A. Styles
Comparison fields: 5 of 130
  • Chemical Health and Safety 70
  • Cancer Research 1.2k
  • Health, Toxicology and Mutagenesis 558
  • Pharmacology 188
  • Molecular Biology 838
Replace Richard H.C. San with:
Richard H.C. San United States
Judson W. Spalding United States
Silvio Albertini Switzerland
Taijiro Matsushima Japan
Shigeaki Sato Japan
Shozo Takayama Japan
Lutz Müller Germany
Matthew S. Bogdanffy United States
Virginia C. Dunkel United States
F. Darroudi Netherlands
J.A. Styles relative to Richard H.C. San United States Richard H.C. San's profile →
Citations per field
00.5×4.2×
Richard H.C. San · 1×
Citations per year

Countries citing papers authored by J.A. Styles

Since Specialization
Citations

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

Fields of papers citing papers by J.A. Styles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.A. Styles. 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 J.A. Styles. The network helps show where J.A. Styles may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978280
2 1967232
3 1976202
4 1994101
5 2001100
6 197897
7 197783
8 200070
9 198869
10
Tamoxifen causes gene mutations in the livers of lambda/lacI transgenic rats.
199764
11 197855
12 197851
13 200550
14 199539
15 198738
16 198236
17 197831
18 198231
19 198530
20 197830

About J.A. Styles

J.A. Styles is a scholar working on Cancer Research, Molecular Biology, Health, Toxicology and Mutagenesis, Plant Science and Organic Chemistry, having authored 76 papers that have together received 2.4k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (42 papers), DNA Repair Mechanisms (9 papers), Effects and risks of endocrine disrupting chemicals (8 papers), Estrogen and related hormone effects (6 papers), Liver physiology and pathology (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Synthesis and Biological Evaluation (5 papers) and Pharmacogenetics and Drug Metabolism (4 papers). The work is most often cited by research in Chemical Health and Safety (70 citations), Cancer Research (1.2k citations), Health, Toxicology and Mutagenesis (558 citations), Pharmacology (188 citations) and Molecular Biology (838 citations). J.A. Styles has collaborated with scholars based in United Kingdom and Israel. Frequent co-authors include John Ashby, Diana Anderson, A. G. Heppleston, P.A. Lefevre, E. Longstaff, J. Ashby, I. F. H. Purchase, F. Russell Westwood, D. Patón and Ian N.H. White. Their work appears in journals such as Carcinogenesis, British Journal of Cancer, Cancer Letters, Environmental Health Perspectives and Nature.

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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