K. C. Fertuck

2.2k citations
10 papers · 1.7k indexed · 1 hit paper · h-index 10

K. C. Fertuck

10 papers receiving 1.7k citations

Hit Papers

Genome-wide analysis of estrogen receptor binding sites1.1k20062026201220192505007501000

Peers

K. C. Fertuck
Comparison fields: 5 of 109
  • Genetics 688
  • Health, Toxicology and Mutagenesis 319
  • Cancer Research 239
  • Molecular Biology 998
  • Physiology 49
Replace Hirochika Kitagawa with:
Hirochika Kitagawa Japan
Brandee Wagner United States
Ronald Reiter United States
Eleanor F. Need Australia
Eli V. Hestermann United States
Renqin Duan United States
Nicholas Kenney United States
Johanna Zilliacus Sweden
Pascale Le Goff France
Adriana Stoica United States
K. C. Fertuck relative to Hirochika Kitagawa Japan Hirochika Kitagawa's profile →
Citations per field
00.5×1.6×
Hirochika Kitagawa · 1×
Citations per year

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

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

All Works

10 of 10 papers shown
#Work
1 2011146
2
Genome-wide analysis of estrogen receptor binding sitesbreakdown →
20061078
3 200519
4 200343
5 200229
6 200227
7 2001110
8 200170
9 2000145
10 199860

About K. C. Fertuck

K. C. Fertuck is a scholar working on Genetics, Endocrine and Autonomic Systems and Health, Toxicology and Mutagenesis, having authored 10 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Reproductive System and Pregnancy (2 papers), Reproductive Biology and Fertility (2 papers), Computational Drug Discovery Methods (2 papers), Genomics and Chromatin Dynamics (2 papers), Air Quality and Health Impacts (1 paper), Urban Stormwater Management Solutions (1 paper) and Effects and risks of endocrine disrupting chemicals (1 paper). The work is most often cited by research in Genetics (688 citations), Health, Toxicology and Mutagenesis (319 citations) and Cancer Research (239 citations). K. C. Fertuck has collaborated with scholars based in United States and Canada. Frequent co-authors include Myles Brown, Jun S. Song, Jérôme Eeckhoute, X. Shirley Liu, Erika Krasnickas Keeton, Jason S. Carroll, Alexander S. Brodsky, Clifford A. Meyer, Timothy R. Geistlinger and Pamela A. Silver. Their work appears in journals such as Nature Genetics, Environmental Science & Technology and American Journal of Physiology-Cell Physiology.

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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