Kay Carnes

31 papers receiving 1.9k citations

Peers

Kay Carnes
Comparison fields: 5 of 96
  • Reproductive Medicine 758
  • Genetics 629
  • Public Health, Environmental and Occupational Health 464
  • Physiology 78
  • Endocrinology, Diabetes and Metabolism 171
Replace Martin Bergmann with:
Martin Bergmann Germany
Kathy H. Graves United States
Patricia L. Morris United States
Marta Tesone Argentina
Sarah J. Meachem Australia
Dominique Segretain France
Robert S. Viger Canada
Aritro Sen United States
Alex Tsafriri Israel
R.‐Marc Pelletier Canada
Kay Carnes relative to Martin Bergmann Germany Martin Bergmann's profile →
Citations per field
00.5×1.5×
Martin Bergmann · 1×
Citations per year

Countries citing papers authored by Kay Carnes

Since Specialization
Citations

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

Fields of papers citing papers by Kay Carnes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005263
2 2001178
3 2006124
4 2005100
5
The role of estrogen in testis and the male reproductive tract: a review and species comparison
200496
6 200985
7 200181
8 199479
9 200777
10 200975
11 200167
12 200466
13 200265
14 200364
15 200963
16 200360
17 201048
18 200047
19 199645
20 200135

About Kay Carnes

Kay Carnes is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include Sperm and Testicular Function (12 papers), Reproductive Biology and Fertility (10 papers), Hormonal and reproductive studies (5 papers), Estrogen and related hormone effects (4 papers), Ultrasound and Hyperthermia Applications (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Ion Transport and Channel Regulation (2 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Reproductive Medicine (758 citations), Genetics (629 citations), Public Health, Environmental and Occupational Health (464 citations), Physiology (78 citations) and Endocrinology, Diabetes and Metabolism (171 citations). Kay Carnes has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Rex A. Hess, Cleida A. Oliveira, Luiz R. França, Rong Nie, Qing Zhou, Marie‐Claude Hofmann, Kenneth M. Murphy, Richard L. Magin, F. Dunn and Masaaki Nakai. Their work appears in journals such as Biology of Reproduction, The Journal of the Acoustical Society of America, Proceedings of the National Academy of Sciences, Reproductive Biology and Endocrinology and Annals of the New York Academy of Sciences.

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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