Caroline Underhill

25 total papers · 1.0k total citations
19 papers, 843 citations indexed

About

Caroline Underhill is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Immunology. According to data from OpenAlex, Caroline Underhill has authored 19 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Immunology. Recurrent topics in Caroline Underhill's work include Hormonal and reproductive studies (5 papers), Stress Responses and Cortisol (4 papers) and Adrenal Hormones and Disorders (4 papers). Caroline Underhill is often cited by papers focused on Hormonal and reproductive studies (5 papers), Stress Responses and Cortisol (4 papers) and Adrenal Hormones and Disorders (4 papers). Caroline Underhill collaborates with scholars based in Canada, Germany and China. Caroline Underhill's co-authors include Geoffrey L. Hammond, Joseph Torchia, Siu‐Pok Yee, Yves A. Muller, Donghang Cheng, Qingshi Zhao, Marc Tini, Tim F. Oberlander, Ursula Brain and Jodi L. Pawluski and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Caroline Underhill

19 papers receiving 824 citations

Author Peers

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

Author Last Decade Papers Cites
Caroline Underhill 408 202 147 135 63 19 843
Donna L. Valentine 364 0.9× 194 1.0× 100 0.7× 200 1.5× 29 0.5× 13 742
WILLIAM J. RAYMOURE 181 0.4× 429 2.1× 232 1.6× 165 1.2× 43 0.7× 12 865
S. C. Koerber 357 0.9× 158 0.8× 75 0.5× 306 2.3× 58 0.9× 13 786
Maurice P. Dubois 201 0.5× 340 1.7× 101 0.7× 41 0.3× 57 0.9× 30 941
R. W. Kuhn 277 0.7× 181 0.9× 203 1.4× 94 0.7× 21 0.3× 16 739
Ching‐Ling C. Chen 383 0.9× 148 0.7× 173 1.2× 77 0.6× 78 1.2× 18 823
F. Cadepond 477 1.2× 248 1.2× 370 2.5× 70 0.5× 46 0.7× 14 899
Karen Akinsanya 393 1.0× 203 1.0× 121 0.8× 22 0.2× 154 2.4× 31 1.0k
D B Hales 295 0.7× 319 1.6× 300 2.0× 73 0.5× 40 0.6× 20 1.0k
T Saibara 239 0.6× 152 0.8× 285 1.9× 26 0.2× 82 1.3× 34 1.0k

Countries citing papers authored by Caroline Underhill

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Underhill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Underhill

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Underhill. A scholar is included among the top collaborators of Caroline Underhill 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 Caroline Underhill. Caroline Underhill 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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