Karin Williams

3.2k citations
44 papers · 2.5k indexed · h-index 29

Karin Williams

43 papers receiving 2.4k citations

Peers

Karin Williams
Comparison fields: 5 of 104
  • Reproductive Medicine 540
  • Genetics 632
  • Health, Toxicology and Mutagenesis 307
  • Oncology 589
  • Cancer Research 321
Replace Michelle K.Y. Siu with:
Michelle K.Y. Siu Hong Kong
Karen G. Nelson United States
Gerard A. Tarulli Australia
Martine Perrot‐Applanat France
Brian T. Pentecost United States
Gerold Untergasser Austria
Cheryl L. Walker United States
David A. Sirbasku United States
Eeva Valve Finland
Nikki P.Y. Lee Hong Kong
Karin Williams relative to Michelle K.Y. Siu Hong Kong Michelle K.Y. Siu's profile →
Citations per field
00.5×2.9×
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-authorship network

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
#Work
1 202413
2 201937
3 201329
4 20104
5 2009100
6 200751
7 200736
8 200689
9 200619
10 200454
11 200347
12 200250
13 2002100
14 200137
15 2001162
16 200044
17 199829
18 199849
19 199720
20 199047

About Karin Williams

Karin Williams is a scholar working on Reproductive Medicine, Health, Toxicology and Mutagenesis, Endocrinology, Diabetes and Metabolism, Oncology and Genetics, having authored 44 papers that have together received 2.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Effects and risks of endocrine disrupting chemicals (9 papers), Prostate Cancer Treatment and Research (8 papers), Cancer Cells and Metastasis (6 papers), Hormonal and reproductive studies (6 papers), Sperm and Testicular Function (5 papers), DNA Repair Mechanisms (3 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Reproductive Medicine (540 citations), Genetics (632 citations), Health, Toxicology and Mutagenesis (307 citations), Oncology (589 citations) and Cancer Research (321 citations). Karin Williams has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Philippa T. K. Saunders, Simon W. Hayward, Siegfried Kasper, Mingfang Ao, Michael Millar, Premkumar Vummidi Giridhar, Omar E. Franco, Chris McKinnell, Richard M. Sharpe and Jane S. Fisher. Their work appears in journals such as Cancer Research, The Prostate, Molecular Human Reproduction, International Journal of Radiation Oncology*Biology*Physics 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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