Carol S. Williams

73 total papers · 1.2k total citations
53 papers, 1000 citations indexed

About

Carol S. Williams is a scholar working on Molecular Biology, Reproductive Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Carol S. Williams has authored 53 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Reproductive Medicine and 10 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Carol S. Williams's work include Sperm and Testicular Function (14 papers), Hormonal and reproductive studies (10 papers) and Sexual Differentiation and Disorders (7 papers). Carol S. Williams is often cited by papers focused on Sperm and Testicular Function (14 papers), Hormonal and reproductive studies (10 papers) and Sexual Differentiation and Disorders (7 papers). Carol S. Williams collaborates with scholars based in United States, Canada and United Kingdom. Carol S. Williams's co-authors include Hari Om Goyal, Tim D. Braden, Kunwar K. Srivastava, Mahmoud Mansour, Joanne Williams, Prasad S. Dalvi, Frank F. Bartol, Anne A. Wiley, Delbert E. Philpott and Jonna A. K. Mazet and has published in prestigious journals such as American Journal of Clinical Nutrition, The FASEB Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Carol S. Williams

51 papers receiving 954 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 S. Williams 230 219 205 166 157 53 1000
Robert K. Dearth 155 0.7× 352 1.6× 229 1.1× 97 0.6× 172 1.1× 40 1.0k
H.A.M. Verheul 106 0.5× 116 0.5× 373 1.8× 403 2.4× 27 0.2× 32 1.1k
Carolina Guzmán 100 0.4× 177 0.8× 71 0.3× 84 0.5× 95 0.6× 47 1.2k
Edgar Lobos 24 0.1× 133 0.6× 95 0.5× 97 0.6× 153 1.0× 18 1.1k
Rosana Nogueira de Morais 262 1.1× 221 1.0× 84 0.4× 162 1.0× 226 1.4× 49 1.2k
J Rzasa 222 1.0× 87 0.4× 125 0.6× 170 1.0× 29 0.2× 70 912
Graciela A. Jahn 197 0.9× 164 0.7× 511 2.5× 251 1.5× 81 0.5× 84 1.2k
Zdeněk Žižka 62 0.3× 223 1.0× 73 0.4× 87 0.5× 38 0.2× 95 927
N.J. Bolton 260 1.1× 164 0.7× 406 2.0× 116 0.7× 30 0.2× 31 1.0k
Darko Richter 83 0.4× 328 1.5× 77 0.4× 102 0.6× 10 0.1× 75 1.1k

Countries citing papers authored by Carol S. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Carol S. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol S. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Carol S. Williams. A scholar is included among the top collaborators of Carol S. Williams 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 S. Williams. Carol S. Williams 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