C. E. Wade

1.3k total citations · 1 hit paper
8 papers, 993 citations indexed

About

C. E. Wade is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Pharmacology. According to data from OpenAlex, C. E. Wade has authored 8 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cancer Research, 2 papers in Health, Toxicology and Mutagenesis and 2 papers in Pharmacology. Recurrent topics in C. E. Wade's work include Carcinogens and Genotoxicity Assessment (3 papers), Toxic Organic Pollutants Impact (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). C. E. Wade is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), Toxic Organic Pollutants Impact (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). C. E. Wade collaborates with scholars based in United States and India. C. E. Wade's co-authors include D. G. Keyes, D. A. Dittenber, C. G. Humiston, R.J. Kociba, R. Kalnins, Richard A. Hummel, J Beyer, Rita Carreón, Stephen D. Barnard and Bernard A. Schwetz and has published in prestigious journals such as Environmental Health Perspectives, Toxicology and Applied Pharmacology and Medical Hypotheses.

In The Last Decade

C. E. Wade

8 papers receiving 899 citations

Hit Papers

Results of a two-year chronic toxicity and oncogenicity s... 1978 2026 1994 2010 1978 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. E. Wade United States 6 665 488 136 104 91 8 993
D. G. Keyes United States 9 744 1.1× 570 1.2× 149 1.1× 115 1.1× 93 1.0× 13 1.2k
D. A. Dittenber United States 8 723 1.1× 512 1.0× 146 1.1× 110 1.1× 93 1.0× 11 1.1k
Stephen D. Barnard United States 5 618 0.9× 431 0.9× 135 1.0× 91 0.9× 89 1.0× 5 898
J Beyer United States 6 683 1.0× 485 1.0× 119 0.9× 87 0.8× 92 1.0× 10 1.0k
C. G. Humiston United States 10 938 1.4× 605 1.2× 164 1.2× 121 1.2× 95 1.0× 11 1.4k
J Huff United States 15 549 0.8× 748 1.5× 307 2.3× 126 1.2× 41 0.5× 32 1.3k
Rita Carreón United States 8 650 1.0× 454 0.9× 108 0.8× 81 0.8× 94 1.0× 13 1.1k
Eric H. Weyand United States 17 754 1.1× 559 1.1× 228 1.7× 71 0.7× 27 0.3× 49 1.2k
Barbara Heinrich-Hirsch Germany 14 402 0.6× 310 0.6× 190 1.4× 147 1.4× 40 0.4× 25 825
F.A. Smith United States 11 543 0.8× 430 0.9× 146 1.1× 158 1.5× 15 0.2× 19 1.1k

Countries citing papers authored by C. E. Wade

Since Specialization
Citations

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

Fields of papers citing papers by C. E. Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. E. Wade

This figure shows the co-authorship network connecting the top 25 collaborators of C. E. Wade. A scholar is included among the top collaborators of C. E. Wade based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. E. Wade. C. E. Wade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Wade, C. E., et al.. (1998). Syndrome-AC: noninsulin-dependent diabetes mellitus and the anabolic/catabolic paradox. Medical Hypotheses. 51(5). 429–438. 2 indexed citations
2.
Olsen, Catherine M., et al.. (1996). Partial central diabetes insipidus complicating nonketotic hyperglycemic hyperosmolar coma. Journal of Osteopathic Medicine. 96(10). 603–603. 6 indexed citations
3.
Kociba, R.J., et al.. (1979). Results of a two-year chronic toxicity and oncogenic study of rats ingesting diets containing 2,4,5-trichlorophenoxyacetic acid (2,4,5-T). Food and Cosmetics Toxicology. 17(3). 205–221. 26 indexed citations
4.
Bergman, Stuart M., Nasser Javadpour, C. E. Wade, & Richard Terrill. (1978). Biodegradable ureteral grafts in dogs.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(1). 48–9. 5 indexed citations
5.
Kociba, R.J., D. G. Keyes, J Beyer, et al.. (1978). Results of a two-year chronic toxicity and oncogenicity study of 2,3,7,8-tetrachlorodibenzo-p-dioxin in rats. Toxicology and Applied Pharmacology. 46(2). 279–303. 832 indexed citations breakdown →
6.
Kociba, R.J., Bernard A. Schwetz, D. G. Keyes, et al.. (1977). Chronic toxicity and reproduction studies of hexachlorobutadiene in rats. Environmental Health Perspectives. 21. 49–53. 20 indexed citations
7.
Keyes, D. G., D. A. Dittenber, J.F. Quast, et al.. (1977). Results of a two year chronic toxicity study with hexachlorobutadiene in rats. American Industrial Hygiene Association Journal. 38(11). 589–602. 96 indexed citations
8.
Kociba, R.J., et al.. (1976). Elevated urinary phenol levels in beagle dogs treated with salol. American Industrial Hygiene Association Journal. 37(3). 183–191. 6 indexed citations

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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