Carol Addy

26 papers receiving 1.1k citations

Peers

Carol Addy
Comparison fields: 5 of 88
  • Virology 97
  • Emergency Medicine 188
  • Endocrine and Autonomic Systems 109
  • Endocrinology, Diabetes and Metabolism 254
  • Epidemiology 508
Replace Fred T. Fiedorek with:
Fred T. Fiedorek United States
Arturo Fernández‐Cruz Spain
Samantha M. Yeligar United States
Barry Gumbiner United States
Greg Bondy Canada
Seong Ho Yoo South Korea
Eric Snoeck Belgium
Check Y. Quon United States
Steven J. Hurel United Kingdom
Smiljana Ristič Croatia
Carol Addy relative to Fred T. Fiedorek United States Fred T. Fiedorek's profile →
Citations per field
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Citations per year

Countries citing papers authored by Carol Addy

Since Specialization
Citations

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

Fields of papers citing papers by Carol Addy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017314
2 2003195
3 2003177
4 200388
5 200951
6 200548
7 200839
8 201629
9 201726
10 200723
11 201621
12 201619
13 201714
14 201211
15 20239
16 20167
17 20186
18 20095
19 20105
20 20095

About Carol Addy

Carol Addy is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Epidemiology and Molecular Biology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Healthcare Policy and Management (4 papers), Pharmaceutical studies and practices (4 papers), Neurotransmitter Receptor Influence on Behavior (4 papers), Diabetes Treatment and Management (4 papers), Employment and Welfare Studies (4 papers), Workplace Health and Well-being (3 papers) and Forensic Toxicology and Drug Analysis (3 papers). The work is most often cited by research in Virology (97 citations), Emergency Medicine (188 citations), Endocrine and Autonomic Systems (109 citations), Endocrinology, Diabetes and Metabolism (254 citations) and Epidemiology (508 citations). Carol Addy has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Christos S. Mantzoros, Adolf W. Karchmer, Sotirios Tsiodras, Alina Gavrila, Kimberly G. Brodovicz, Melvin Khee‐Shing Leow, Eleni Petridou, Nick Dessypris, Zannis Voulgaris and George P. Chrousos. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The Journal of Clinical Pharmacology, The AAPS Journal, Cell Metabolism and Health Affairs.

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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