Carol J. Collins

20 papers receiving 550 citations

Peers

Carol J. Collins
Comparison fields: 5 of 103
  • Pharmacology 105
  • Virology 40
  • Geriatrics and Gerontology 19
  • Pharmaceutical Science 31
  • Aging 9
Replace Heike Lindenmaier with:
Heike Lindenmaier Germany
Poe‐Hirr Hsyu United States
François A. Leblond Canada
Dhruvanshu Parmar India
Tai Ning Lam Hong Kong
Marina Kacevska Australia
Grant T. Generaux United States
Vaishali S. Dixit United States
Elodie L. Plan Sweden
Dinko Rekić Sweden
Carol J. Collins relative to Heike Lindenmaier Germany Heike Lindenmaier's profile →
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Heike Lindenmaier · 1×
Citations per year

Countries citing papers authored by Carol J. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Carol J. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200390
2 201287
3 201048
4 201747
5 201845
6 200743
7 201839
8 200929
9 201329
10 200924
11 202118
12 200715
13 201815
14 201314
15 201211
16 19848
17 20218
18 20157
19
Qualitative pharmacokinetic modeling of drugs.
20053
20 20051

About Carol J. Collins

Carol J. Collins is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Computational Theory and Mathematics, Pediatrics, Perinatology and Child Health and Aging, having authored 20 papers that have together received 581 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Biomedical Text Mining and Ontologies (4 papers), Computational Drug Discovery Methods (3 papers), Pharmaceutical studies and practices (2 papers), Statistical Methods in Clinical Trials (1 paper), HIV/AIDS Research and Interventions (1 paper), Renal Transplantation Outcomes and Treatments (1 paper) and Diabetes Management and Education (1 paper). The work is most often cited by research in Pharmacology (105 citations), Virology (40 citations), Geriatrics and Gerontology (19 citations), Pharmaceutical Science (31 citations) and Aging (9 citations). Carol J. Collins has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John M. Sedivy, René H. Levy, Richard W. Boyce, John R. Horn, Ira J. Kalet, Siamak Cyrus Khojasteh, Aleksandra Galetin, Jane R. Kenny, Chenghong Zhang and Suzanne Tay. Their work appears in journals such as Journal of Biomedical Informatics, The Journal of Clinical Endocrinology & Metabolism, Journal of Pharmacy & Pharmaceutical Sciences, Anesthesiology and Pharmaceutical Research.

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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