Carol Cunningham

113 papers receiving 4.0k citations

Peers

Carol Cunningham
Comparison fields: 5 of 153
  • Biochemistry 625
  • Pathology and Forensic Medicine 1.3k
  • Clinical Biochemistry 427
  • Molecular Biology 1.8k
  • Epidemiology 790
Replace Chad Brocker with:
Chad Brocker United States
Paul Canioni France
Joseph Y. Cheung United States
A. J. Meijer Netherlands
Fyfe L. Bygrave Australia
Guido Verhoeven Belgium
Stefan Dröse Germany
Paul M. Yen United States
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Hans‐Georg Joost Germany
Carol Cunningham relative to Chad Brocker United States Chad Brocker's profile →
Citations per field
00.5×3.7×
Chad Brocker · 1×
Citations per year

Countries citing papers authored by Carol Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by Carol Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carol Cunningham. 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 Carol Cunningham. The network helps show where Carol Cunningham may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002234
2 1990196
3 1999192
4 1998184
5 2001142
6 1990141
7 1986127
8 2002119
9
Bison: Mating and Conservation in Small Populations
1994110
10 2002109
11 200198
12 200192
13 200189
14 197187
15 198282
16 198681
17 197180
18 199071
19 200668
20 198766

About Carol Cunningham

Carol Cunningham is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Epidemiology, Physiology and Biochemistry, having authored 115 papers that have together received 4.2k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (33 papers), Mitochondrial Function and Pathology (28 papers), Liver Disease Diagnosis and Treatment (22 papers), Adipose Tissue and Metabolism (15 papers), Metabolism and Genetic Disorders (13 papers), Wildlife Ecology and Conservation (12 papers), ATP Synthase and ATPases Research (10 papers) and Lipid metabolism and biosynthesis (9 papers). The work is most often cited by research in Biochemistry (625 citations), Pathology and Forensic Medicine (1.3k citations), Clinical Biochemistry (427 citations), Molecular Biology (1.8k citations) and Epidemiology (790 citations). Carol Cunningham has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Shannon M. Bailey, Priscilla I. Spach, William B. Coleman, Joël Berger, Lowell P. Hager, Tracey Young, Craig R. Malloy, George K. Radda, Vinood B. Patel and E. Christine Pietsch. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Conservation Biology and Biochimica et Biophysica Acta (BBA) - Bioenergetics.

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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