C. Edwin Garner

978 citations
37 papers · 811 · h-index 16

Impact in

Papers in

C. Edwin Garner

35 papers receiving 766 citations

Peers

C. Edwin Garner
Comparison fields: 5 of 113
  • Health, Toxicology and Mutagenesis 262
  • Pharmacology 89
  • Cancer Research 137
  • Toxicology 22
  • Biochemistry 28
Replace Zongcan Zhou with:
Zongcan Zhou China
E. Lok Canada
Juanling Fu China
Hong Xia China
Geri L. Youngblood United States
Brett D. Hollingshead United States
Bernard Vannier France
Yongjun Wang China
Shawn D. Seidel United States
Chang Seon Ryu South Korea
C. Edwin Garner relative to Zongcan Zhou China Zongcan Zhou's profile →
Citations per field
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Citations per year

Countries citing papers authored by C. Edwin Garner

Since Specialization
Citations

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

Fields of papers citing papers by C. Edwin Garner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005129
2 201468
3 200454
4 199948
5 200745
6 200941
7 200634
8 199533
9 199833
10 201432
11 199730
12 200929
13 200028
14 200819
15 200819
16 200616
17 199615
18 201614
19 201514
20 201613

About C. Edwin Garner

C. Edwin Garner is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Molecular Biology, Oncology and Pharmacology, having authored 37 papers that have together received 811 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (8 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Toxic Organic Pollutants Impact (6 papers), Estrogen and related hormone effects (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Alcoholism and Thiamine Deficiency (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (262 citations), Pharmacology (89 citations), Cancer Research (137 citations), Toxicology (22 citations) and Biochemistry (28 citations). C. Edwin Garner has collaborated with scholars based in United States, Japan and China. Frequent co-authors include H.B. Matthews, James M. Mathews, Leo T. Burka, Patty Wong, Kyung Ho Kim, Timothy E. Albertson, Larry G. Hansen, Tram Anh Ta, Isaac N. Pessah and James Raymer. Their work appears in journals such as Toxicology and Applied Pharmacology, Xenobiotica, Drug Metabolism and Disposition, Chemical Research in Toxicology and Scientific Reports.

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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