Charles J. Everett

3.9k citations
79 papers · 3.1k · h-index 32

Impact in

Papers in

Charles J. Everett

78 papers receiving 2.9k citations

Peers

Charles J. Everett
Comparison fields: 5 of 159
  • Applied Microbiology and Biotechnology 117
  • Health, Toxicology and Mutagenesis 524
  • Aging 45
  • Pharmacy 95
  • Endocrinology, Diabetes and Metabolism 276
Replace Junshi Chen with:
Junshi Chen China
Bilyaminu Abubakar Nigeria
Md Rabiul Haque Bangladesh
Mirko Marino Italy
Anar Dushpanova Italy
Vassiliki Benetou Greece
Nelson G. M. Gomes Portugal
Yi‐Ting Lin Taiwan
Dimitrios Trichopoulos Greece
Katherine Mary Livingstone Australia
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Citations per field
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Citations per year

Countries citing papers authored by Charles J. Everett

Since Specialization
Citations

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

Fields of papers citing papers by Charles J. Everett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charles J. Everett. 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 Charles J. Everett. The network helps show where Charles J. Everett may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009267
2 2006150
3 2007144
4 2004137
5 2006130
6 2012107
7 2006101
8 200591
9 201086
10 201085
11 200883
12 201079
13 200975
14 200575
15 200974
16 200568
17 200968
18 200960
19 200060
20 200559

About Charles J. Everett

Charles J. Everett is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Hematology, having authored 79 papers that have together received 3.1k indexed citations. Recurring topics across this work include Toxic Organic Pollutants Impact (13 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Nutritional Studies and Diet (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Carcinogens and Genotoxicity Assessment (6 papers), Iron Metabolism and Disorders (5 papers), Blood Pressure and Hypertension Studies (5 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (117 citations), Health, Toxicology and Mutagenesis (524 citations), Aging (45 citations), Pharmacy (95 citations) and Endocrinology, Diabetes and Metabolism (276 citations). Charles J. Everett has collaborated with scholars based in United States, United Kingdom and Kenya. Frequent co-authors include Arch G. Mainous, Vanessa A. Díaz, Dana E. King, Eric M. Matheson, Ivar L. Frithsen, Richelle J. Koopman, Marty S. Player, Mark A. Carnemolla, Brian J. Wells and Richard Baker. Their work appears in journals such as The Journal of the American Board of Family Medicine, The Annals of Family Medicine, Environmental Research, The American Journal of Cardiology and Nutrition.

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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