Karin Williams

45 papers receiving 2.6k citations

Peers

Karin Williams
Comparison fields: 5 of 106
  • Reproductive Medicine 550
  • Health, Toxicology and Mutagenesis 333
  • Oncology 544
  • Genetics 593
  • Cancer Research 295
Replace Michelle K.Y. Siu with:
Michelle K.Y. Siu Hong Kong
Karen G. Nelson United States
M D’Armiento Italy
Gerard A. Tarulli Australia
Martine Perrot‐Applanat France
David A. Sirbasku United States
Nikki P.Y. Lee Hong Kong
Brian T. Pentecost United States
Cheryl L. Walker United States
Éric Tabone France
Karin Williams relative to Michelle K.Y. Siu Hong Kong Michelle K.Y. Siu's profile →
Citations per field
00.5×2.8×
Michelle K.Y. Siu · 1×
Citations per year

Countries citing papers authored by Karin Williams

Since Specialization
Citations

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

Fields of papers citing papers by Karin Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007230
2 2001190
3 2013188
4 2001168
5 2000155
6 2001138
7 2002109
8 2020105
9 2009104
10 200695
11 199882
12 200780
13 200178
14 201173
15 201271
16 200458
17 200753
18 200853
19 199052
20 199852

About Karin Williams

Karin Williams is a scholar working on Genetics, Molecular Biology, Oncology, Health, Toxicology and Mutagenesis and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Hormonal and reproductive studies (7 papers), Sperm and Testicular Function (7 papers), Prostate Cancer Treatment and Research (5 papers), Cancer Cells and Metastasis (4 papers), Sexual Differentiation and Disorders (3 papers) and Reproductive System and Pregnancy (3 papers). The work is most often cited by research in Reproductive Medicine (550 citations), Health, Toxicology and Mutagenesis (333 citations), Oncology (544 citations), Genetics (593 citations) and Cancer Research (295 citations). Karin Williams has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include Philippa T. K. Saunders, Simon W. Hayward, Mingfang Ao, Michael Millar, Premkumar Vummidi Giridhar, Omar E. Franco, Chris McKinnell, Richard M. Sharpe, Jane S. Fisher and Nina Atanassova. Their work appears in journals such as Cancer Research, The Prostate, Journal of Andrology, The Journal of Urology and Endocrinology.

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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