Wayne C. Daughtrey

537 citations
27 papers · 366 · h-index 13

Impact in

Papers in

Wayne C. Daughtrey

26 papers receiving 342 citations

Peers

Wayne C. Daughtrey
Comparison fields: 5 of 103
  • Chemical Health and Safety 35
  • Health, Toxicology and Mutagenesis 158
  • Cancer Research 142
  • Statistics, Probability and Uncertainty 28
  • Small Animals 23
Replace Grete Østergaard with:
Grete Østergaard Denmark
M. Bérode Switzerland
Nabil S. Hatoum United States
J Stetkiewicz Poland
Edward V. Ohanian United States
G Maranelli Italy
C.P. Carpenter United States
Lester D. Scheel United States
D.L. Geary United States
James D. Prah United States
Wayne C. Daughtrey relative to Grete Østergaard Denmark Grete Østergaard's profile →
Citations per field
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Grete Østergaard · 1×
Citations per year

Countries citing papers authored by Wayne C. Daughtrey

Since Specialization
Citations

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

Fields of papers citing papers by Wayne C. Daughtrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne C. Daughtrey. 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 Wayne C. Daughtrey. The network helps show where Wayne C. Daughtrey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199534
2 197832
3 199729
4 200526
5 201425
6 201423
7 199022
8 198919
9 199617
10 201315
11 199912
12 200112
13 198312
14 199712
15 199811
16 19899
17 19949
18 19829
19 19958
20 19948

About Wayne C. Daughtrey

Wayne C. Daughtrey is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis, Chemical Health and Safety, Plant Science and Small Animals, having authored 27 papers that have together received 366 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (16 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Pesticide Exposure and Toxicity (5 papers), Toxic Organic Pollutants Impact (5 papers), Chemical Safety and Risk Management (5 papers), Animal testing and alternatives (4 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers) and Poisoning and overdose treatments (3 papers). The work is most often cited by research in Chemical Health and Safety (35 citations), Health, Toxicology and Mutagenesis (158 citations), Cancer Research (142 citations), Statistics, Probability and Uncertainty (28 citations) and Small Animals (23 citations). Wayne C. Daughtrey has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Russell D. White, Richard H. McKee, Stata Norton, Larry S. Andrews, J. J. Kneiss, J. F. Douglas, Michael Gill, David R. Brown, Charles R. Clark and Ceinwen A. Schreiner. Their work appears in journals such as Toxicological Sciences, Regulatory Toxicology and Pharmacology, Experimental Neurology, Reproductive Toxicology and Toxicology Letters.

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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