K. C. Fertuck

11 total papers · 2.2k total citations
10 papers, 1.7k citations indexed

About

K. C. Fertuck is a scholar working on Genetics, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, K. C. Fertuck has authored 10 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in K. C. Fertuck's work include Estrogen and related hormone effects (7 papers), Reproductive Biology and Fertility (2 papers) and Computational Drug Discovery Methods (2 papers). K. C. Fertuck is often cited by papers focused on Estrogen and related hormone effects (7 papers), Reproductive Biology and Fertility (2 papers) and Computational Drug Discovery Methods (2 papers). K. C. Fertuck collaborates with scholars based in United States and Canada. K. C. Fertuck's co-authors include Myles Brown, Victor Sementchenko, Jérôme Eeckhoute, Wei Li, Clifford A. Meyer, X. Shirley Liu, Stefan Bekiranov, Qianben Wang, Timothy R. Geistlinger and Alexander S. Brodsky and has published in prestigious journals such as Nature Genetics, Environmental Science & Technology and American Journal of Physiology-Cell Physiology.

In The Last Decade

K. C. Fertuck

10 papers receiving 1.7k citations

Hit Papers

Genome-wide analysis of e... 2006 2026 2012 2019 2006 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
K. C. Fertuck 996 686 318 269 239 10 1.7k
Eli V. Hestermann 963 1.0× 512 0.7× 341 1.1× 243 0.9× 316 1.3× 12 1.6k
Mark Wormke 853 0.9× 890 1.3× 652 2.1× 298 1.1× 426 1.8× 19 1.9k
Charles E. Foulds 1.1k 1.1× 372 0.5× 170 0.5× 209 0.8× 318 1.3× 28 1.7k
Ronald Reiter 511 0.5× 549 0.8× 703 2.2× 388 1.4× 152 0.6× 20 1.8k
Hirochika Kitagawa 858 0.9× 423 0.6× 334 1.1× 120 0.4× 174 0.7× 17 1.6k
Maggie C. Louie 579 0.6× 317 0.5× 216 0.7× 313 1.2× 199 0.8× 28 1.3k
V. Craig Jordan 520 0.5× 1.1k 1.5× 197 0.6× 457 1.7× 308 1.3× 22 1.6k
Cheryl L. Walker 821 0.8× 184 0.3× 287 0.9× 289 1.1× 266 1.1× 24 2.0k
Pascale Le Goff 798 0.8× 787 1.1× 271 0.9× 366 1.4× 121 0.5× 43 1.7k
Nicholas Kenney 758 0.8× 218 0.3× 563 1.8× 452 1.7× 140 0.6× 21 1.7k

Countries citing papers authored by K. C. Fertuck

Since Specialization
Citations

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

Fields of papers citing papers by K. C. Fertuck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. C. Fertuck. 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 K. C. Fertuck. The network helps show where K. C. Fertuck may publish in the future.

Co-authorship network of co-authors of K. C. Fertuck

This figure shows the co-authorship network connecting the top 25 collaborators of K. C. Fertuck. A scholar is included among the top collaborators of K. C. Fertuck 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 K. C. Fertuck. K. C. Fertuck 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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