Beth E. Talansky

1.2k citations
21 papers · 946 · h-index 15

Impact in

Papers in

Beth E. Talansky

21 papers receiving 833 citations

Peers

Beth E. Talansky
Comparison fields: 5 of 60
  • Reproductive Medicine 498
  • Public Health, Environmental and Occupational Health 615
  • Pediatrics, Perinatology and Child Health 245
  • Genetics 210
  • Physiology 15
Replace Paula C. Morton with:
Paula C. Morton United States
Yasuhisa Araki Japan
Domenico Massimo Ranieri United Kingdom
G.M. Jones Australia
Sandra García-Herrero Spain
Yasuyuki Mio Japan
Michael J. Glassner United States
Alpesh Doshi United Kingdom
Juergen Liebermann United States
C. R. Simerly United States
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Citations per field
00.5×1.5×1.9×
Paula C. Morton · 1×
Citations per year

Countries citing papers authored by Beth E. Talansky

Since Specialization
Citations

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

Fields of papers citing papers by Beth E. Talansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth E. Talansky. 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 Beth E. Talansky. The network helps show where Beth E. Talansky may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986205
2 1988132
3 199189
4 199264
5 199059
6 198853
7 199150
8 198642
9
Micromanipulation of Human Gametes and Embryos
199241
10 199238
11 198936
12 199232
13 199029
14 199121
15 198717
16 199214
17 19928
18 19936
19 19906
20 19903

About Beth E. Talansky

Beth E. Talansky is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics, Pediatrics, Perinatology and Child Health and Molecular Biology, having authored 21 papers that have together received 946 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (17 papers), Sperm and Testicular Function (14 papers), Animal Genetics and Reproduction (5 papers), Reproductive Health and Technologies (4 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers), Pluripotent Stem Cells Research (2 papers), Ovarian function and disorders (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Reproductive Medicine (498 citations), Public Health, Environmental and Occupational Health (615 citations), Pediatrics, Perinatology and Child Health (245 citations), Genetics (210 citations) and Physiology (15 citations). Beth E. Talansky has collaborated with scholars based in United States, Italy and Taiwan. Frequent co-authors include Jon Gordon, Jacques Cohen, Henry E. Malter, Mina Alikani, G. John Garrisi, Alexis Adler, Neri Laufer, Charlotte J. Richards, Jacques Cohen and Zev Rosenwaks. Their work appears in journals such as Fertility and Sterility, Human Reproduction, Journal of Assisted Reproduction and Genetics, Journal of Experimental Zoology and Seminars in Reproductive Medicine.

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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