R. E. Dailey

26 papers receiving 679 citations

Peers

R. E. Dailey
Comparison fields: 5 of 98
  • Aquatic Science 61
  • Health, Toxicology and Mutagenesis 112
  • Biochemistry 44
  • Animal Science and Zoology 55
  • Endocrinology, Diabetes and Metabolism 90
Replace Leo Friedman with:
Leo Friedman United States
Maria Wardas Poland
Ted W Fendley United States
Cecelia A Queen United States
R Derache France
Joseph C. Street United States
AJIT GOSWAMI United States
Bennie J. Camp United States
H. Zücker Germany
Daniel P. Selivonchick United States
R. E. Dailey relative to Leo Friedman United States Leo Friedman's profile →
Citations per field
00.5×
Leo Friedman · 1×
Citations per year

Countries citing papers authored by R. E. Dailey

Since Specialization
Citations

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

Fields of papers citing papers by R. E. Dailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. E. Dailey. 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 R. E. Dailey. The network helps show where R. E. Dailey may publish in the future.

Co-authors

The 25 scholars most cited alongside R. E. Dailey, 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 R. E. Dailey Line = papers co-authored together R. E. Dailey 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 1966315
2
Effect of polychlorinated biphenyl (PCB) on the thyroid gland of rats. Ultrastructural and biochemical investigations.
197777
3 198149
4 198041
5 196037
6 196332
7 195424
8 197721
9 199320
10 197720
11 197516
12 196214
13 195512
14 195512
15 197011
16 196910
17 19549
18 19629
19 19739
20 19769

About R. E. Dailey

R. E. Dailey is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Plant Science and Cancer Research, having authored 27 papers that have together received 767 indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (5 papers), Cholesterol and Lipid Metabolism (4 papers), Steroid Chemistry and Biochemistry (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Immunotoxicology and immune responses (3 papers), Hormonal Regulation and Hypertension (3 papers), Electrolyte and hormonal disorders (2 papers) and Clinical Nutrition and Gastroenterology (2 papers). The work is most often cited by research in Aquatic Science (61 citations), Health, Toxicology and Mutagenesis (112 citations), Biochemistry (44 citations), Animal Science and Zoology (55 citations) and Endocrinology, Diabetes and Metabolism (90 citations). R. E. Dailey has collaborated with scholars based in United States. Frequent co-authors include Joseph H. Roe, Leon Swell, C. R. Treadwell, Henry Field, L Kasza, Charles C. Capen, William T. Collins, Robert S. Boyd, Michael A. Gallo and William D. Johnson. Their work appears in journals such as Experimental Biology and Medicine, Journal of Agricultural and Food Chemistry, Archives of Biochemistry and Biophysics, Journal of Toxicology and Environmental Health and Circulation.

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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