Carol McCleary

38 total papers · 2.8k total citations
28 papers, 2.0k citations indexed

About

Carol McCleary is a scholar working on Endocrinology, Diabetes and Metabolism, Cognitive Neuroscience and Behavioral Neuroscience. According to data from OpenAlex, Carol McCleary has authored 28 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 6 papers in Cognitive Neuroscience and 5 papers in Behavioral Neuroscience. Recurrent topics in Carol McCleary's work include Menopause: Health Impacts and Treatments (6 papers), Stress Responses and Cortisol (5 papers) and Estrogen and related hormone effects (5 papers). Carol McCleary is often cited by papers focused on Menopause: Health Impacts and Treatments (6 papers), Stress Responses and Cortisol (5 papers) and Estrogen and related hormone effects (5 papers). Carol McCleary collaborates with scholars based in United States. Carol McCleary's co-authors include Victor W. Henderson, Wendy J. Mack, Donna Shoupe, Frank Z. Stanczyk, J. Galen Buckwalter, Kenneth Zaucha, Paul Satz, Jan A. St. John, Howard N. Hodis and Rodger J. Elble and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Psychological Bulletin and PLoS ONE.

In The Last Decade

Carol McCleary

28 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carol McCleary 631 531 369 335 303 28 2.0k
Marc Combrinck 425 0.7× 214 0.4× 481 1.3× 123 0.4× 107 0.4× 38 2.1k
Whitney Wharton 647 1.0× 449 0.8× 499 1.4× 73 0.2× 257 0.8× 83 2.3k
Darryl Chiu 291 0.5× 213 0.4× 450 1.2× 263 0.8× 392 1.3× 18 2.5k
M.‐X. Tang 298 0.5× 261 0.5× 988 2.7× 261 0.8× 252 0.8× 26 2.5k
Joseph K. Belanoff 857 1.4× 261 0.5× 277 0.8× 131 0.4× 90 0.3× 47 2.8k
Éva Keller 341 0.5× 436 0.8× 114 0.3× 78 0.2× 262 0.9× 76 2.4k
N. David Åberg 739 1.2× 274 0.5× 181 0.5× 172 0.5× 174 0.6× 74 3.2k
G. Dooneief 208 0.3× 194 0.4× 853 2.3× 229 0.7× 71 0.2× 24 1.9k
Michael Dettling 366 0.6× 301 0.6× 838 2.3× 168 0.5× 78 0.3× 77 2.7k
Maria Pedersen 423 0.7× 214 0.4× 112 0.3× 497 1.5× 172 0.6× 33 2.8k

Countries citing papers authored by Carol McCleary

Since Specialization
Citations

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

Fields of papers citing papers by Carol McCleary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol McCleary

This figure shows the co-authorship network connecting the top 25 collaborators of Carol McCleary. A scholar is included among the top collaborators of Carol McCleary based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol McCleary. Carol McCleary is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026