E. Fragouli

7.6k total citations
69 papers, 4.3k citations indexed

About

E. Fragouli is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, E. Fragouli has authored 69 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pediatrics, Perinatology and Child Health, 35 papers in Public Health, Environmental and Occupational Health and 24 papers in Genetics. Recurrent topics in E. Fragouli's work include Prenatal Screening and Diagnostics (54 papers), Reproductive Biology and Fertility (34 papers) and Assisted Reproductive Technology and Twin Pregnancy (22 papers). E. Fragouli is often cited by papers focused on Prenatal Screening and Diagnostics (54 papers), Reproductive Biology and Fertility (34 papers) and Assisted Reproductive Technology and Twin Pregnancy (22 papers). E. Fragouli collaborates with scholars based in United Kingdom, United States and Spain. E. Fragouli's co-authors include Dagan Wells, S. Alfarawati, S. Munné, Katharina Späth, P. Colls, William B. Schoolcraft, M. Katz-Jaffe, John Stevens, J. Grifo and Joy Delhanty and has published in prestigious journals such as PLoS Genetics, Human Reproduction and Fertility and Sterility.

In The Last Decade

E. Fragouli

68 papers receiving 4.0k citations

Peers

E. Fragouli

PPCH

PHEOH

GENET

John C.M. Dumoulin Netherlands

S. Alfarawati United Kingdom

M.C. Magli United States

J. Navarro Spain

Xiaoxi Sun China

Kathleen H. Hong United States

Yue‐Qiu Tan China

Johnny Hindkjær Denmark

K.M. Upham United States

Joan Blanco Spain

John C.M. Dumoulin Netherlands

E. Fragouli

2.7k ×0.8

PPCH

2.1k ×1.0

PHEOH

609 ×0.4

GENET

824 ×0.7

1.9k ×2.5

Citations per year, relative to E. Fragouli E. Fragouli (= 1×) peers John C.M. Dumoulin

Countries citing papers authored by E. Fragouli

Since Specialization

Citations

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

Fields of papers citing papers by E. Fragouli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Fragouli

This figure shows the co-authorship network connecting the top 25 collaborators of E. Fragouli. A scholar is included among the top collaborators of E. Fragouli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Fragouli. E. Fragouli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tiegs, Ashley W., Xin Tao, J. Landis, et al.. (2020). Sperm Mitochondrial DNA Copy Number Is Not a Predictor of Intracytoplasmic Sperm Injection (ICSI) Cycle Outcomes. Reproductive Sciences. 27(6). 1350–1356. 10 indexed citations

Fragouli, E., S. Alfarawati, Katharina Späth, et al.. (2017). Factors affecting embryonic mosaicism. Human Reproduction. 32. 49–50. 5 indexed citations

Wells, Daniel, D Babariya, S. Alfarawati, et al.. (2017). Frequency and clinical relevance of mosaic segmental aneuploidy in blastocyst stage human embryos. Human Reproduction. 32. 50–50. 2 indexed citations

Ravichandran, Krithika, Caroline McCaffrey, J. Grifo, et al.. (2017). Mitochondrial DNA quantification as a tool for embryo viability assessment: retrospective analysis of data from single euploid blastocyst transfers. Human Reproduction. 32(6). 1282–1292. 87 indexed citations

Wells, Dan E., S. Alfarawati, Nada Kubikova, et al.. (2016). Evidence that differences between embryology laboratories can influence the rate of mitotic errors, leading to increased chromosomal mosaicism, with significant implications for IVF success rates. Human Reproduction. 31. 25–26. 3 indexed citations

Fragouli, E., S. Alfarawati, Katharina Späth, et al.. (2015). An investigation into the developmental potential of mosaic embryos. Human Reproduction. 30. 2–2. 2 indexed citations

Fragouli, E., Jacques Cohen, S. Munné, et al.. (2015). The biological and clinical impact of mitochondrial genome variation in human embryos. Fertility and Sterility. 104(3). e36–e36. 1 indexed citations

Fragouli, E., Katharina Späth, S. Alfarawati, et al.. (2015). Altered Levels of Mitochondrial DNA Are Associated with Female Age, Aneuploidy, and Provide an Independent Measure of Embryonic Implantation Potential. PLoS Genetics. 11(6). e1005241–e1005241. 245 indexed citations

Fragouli, E., S. Alfarawati, Katharina Späth, & Dagan Wells. (2013). Morphological and cytogenetic assessment of cleavage and blastocyst stage embryos. Molecular Human Reproduction. 20(2). 117–126. 130 indexed citations

10.

Fragouli, E., Katharina Späth, S. Alfarawati, & Dagan Wells. (2013). Quantification of mitochondrial DNA predicts the implantation potential of chromosomally normal embryos. Fertility and Sterility. 100(3). S1–S1. 2 indexed citations

11.

Fragouli, E., Maria D. Lalioti, & Dagan Wells. (2013). The transcriptome of follicular cells: biological insights and clinical implications for the treatment of infertility. Human Reproduction Update. 20(1). 1–11. 77 indexed citations

12.

Wells, Dan E., et al.. (2012). Characterisation of mechanisms causing oocyte aneuploidy reveals a flaw in embryo selection strategies based upon polar body chromosome screening. Human Reproduction. 27. 1 indexed citations

13.

Alfarawati, S., et al.. (2012). The effect of aneuploidy on embryo morphology and preimplantation development from the cleavage to the blastocyst stage. Fertility and Sterility. 98(3). S164–S164. 3 indexed citations

14.

Munné, S., Karsten R. Held, M. Cristina Magli, et al.. (2012). Intra-age, intercenter, and intercycle differences in chromosome abnormalities in oocytes. Fertility and Sterility. 97(4). 935–942. 13 indexed citations

15.

Fragouli, E., et al.. (2011). Follicle-specific predisposition to aneuploidy as revealed by transcriptomic analysis of cumulus cells. Human Reproduction. 26. 1 indexed citations

16.

Fragouli, E. & Dagan Wells. (2011). Aneuploidy in the Human Blastocyst. Cytogenetic and Genome Research. 133(2-4). 149–159. 101 indexed citations

17.

Fragouli, E., V. Bianchi, Pasquale Patrizio, et al.. (2010). Transcriptomic profiling of human oocytes: association of meiotic aneuploidy and altered oocyte gene expression. Molecular Human Reproduction. 16(8). 570–582. 43 indexed citations

18.

Fragouli, E.. (2009). Session 21: Novel biomarkers of human embryo development and viability. Human Reproduction. 24(Supplement 1). i35–i36. 1 indexed citations

19.

Fragouli, E., Michelle L. Lenzi, Robert M. Ross, et al.. (2008). Comprehensive molecular cytogenetic analysis of the human blastocyst stage. Human Reproduction. 23(11). 2596–2608. 155 indexed citations

20.

Patrizio, Pasquale, E. Fragouli, V. Bianchi, Andrea Borini, & Dagan Wells. (2007). Molecular methods for selection of the ideal oocyte. Reproductive BioMedicine Online. 15(3). 346–353. 69 indexed citations

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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