Kevin Connor

1.5k citations
36 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Kevin Connor

35 papers receiving 1.1k citations

Peers

Kevin Connor
Comparison fields: 5 of 109
  • Health, Toxicology and Mutagenesis 605
  • Cancer Research 220
  • Pollution 141
  • Physiology 51
  • Animal Science and Zoology 114
Replace Paul J. Dierickx with:
Paul J. Dierickx Belgium
William T. Roubal United States
Anne Hillenweck France
Ryo Kamata Japan
Joan M. Hedge United States
Lillian F. Strader United States
Michelle M. Tabb United States
Thomas Høj Rasmussen Denmark
Masatoshi Matsuo Japan
Janet Gould United States
Kevin Connor relative to Paul J. Dierickx Belgium Paul J. Dierickx's profile →
Citations per field
00.5×6.7×
Paul J. Dierickx · 1×
Citations per year

Countries citing papers authored by Kevin Connor

Since Specialization
Citations

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

Fields of papers citing papers by Kevin Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20230
2 202110
3 20141
4 200724
5 200675
6 200328
7 20034
8 199822
9 199751
10 1997199
11 199679
12 199514
13 199548
14 1995110
15 199415
16 199343
17 19938
18 199330
19 199318
20 19877

About Kevin Connor

Kevin Connor is a scholar working on Health, Toxicology and Mutagenesis, Animal Science and Zoology, Cancer Research, Nutrition and Dietetics and Aquatic Science, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (14 papers), Effects and risks of endocrine disrupting chemicals (11 papers), Carcinogens and Genotoxicity Assessment (6 papers), Animal Nutrition and Physiology (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Fatty Acid Research and Health (4 papers), Immunotoxicology and immune responses (3 papers) and Cholesterol and Lipid Metabolism (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (605 citations), Cancer Research (220 citations), Pollution (141 citations), Physiology (51 citations) and Animal Science and Zoology (114 citations). Kevin Connor has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Stephen Safe, Lesa L. Aylward, R. C. Noble, Tim Zacharewski, K. Ramamoorthy, Patrick Balaguer, Michael J. Moore, Annick Joyeu×, Bradley E. Gillesby and Timothy R. Zacharewski. Their work appears in journals such as Toxicology, Regulatory Toxicology and Pharmacology, Poultry Science, Biochemical Pharmacology and Toxicological Sciences.

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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