Rafael Bernabéu

2.6k total citations
92 papers, 1.6k citations indexed

About

Rafael Bernabéu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Rafael Bernabéu has authored 92 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Reproductive Medicine, 48 papers in Public Health, Environmental and Occupational Health and 36 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Rafael Bernabéu's work include Reproductive Biology and Fertility (43 papers), Ovarian function and disorders (30 papers) and Prenatal Screening and Diagnostics (24 papers). Rafael Bernabéu is often cited by papers focused on Reproductive Biology and Fertility (43 papers), Ovarian function and disorders (30 papers) and Prenatal Screening and Diagnostics (24 papers). Rafael Bernabéu collaborates with scholars based in Spain, Portugal and United States. Rafael Bernabéu's co-authors include Jorge Ten, Belén Lledó, Jaime Mendiola, Manuela Roca, J. Llácer, Alberto M. Torres‐Cantero, Ruth Morales, J A Ortíz, Stella Moreno‐Grau and J. Moreno and has published in prestigious journals such as Scientific Reports, Human Reproduction and Fertility and Sterility.

In The Last Decade

Rafael Bernabéu

82 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rafael Bernabéu Spain 22 822 736 512 225 223 92 1.6k
Jorge Ten Spain 20 598 0.7× 602 0.8× 383 0.7× 234 1.0× 149 0.7× 52 1.3k
G. Potashnik Israel 26 1.2k 1.5× 862 1.2× 480 0.9× 217 1.0× 302 1.4× 97 2.2k
Aditi Mulgund United States 4 1.4k 1.6× 802 1.1× 259 0.5× 332 1.5× 107 0.5× 8 1.8k
Young‐Ah You South Korea 20 385 0.5× 331 0.4× 150 0.3× 242 1.1× 63 0.3× 53 1.1k
Alaa Hamada United States 16 2.1k 2.6× 1.3k 1.8× 321 0.6× 577 2.6× 115 0.5× 26 2.8k
Piotr Jędrzejczak Poland 22 1.1k 1.3× 693 0.9× 124 0.2× 330 1.5× 187 0.8× 90 1.5k
Lars Björndahl Sweden 30 2.1k 2.6× 1.4k 1.9× 270 0.5× 437 1.9× 99 0.4× 67 2.8k
Jessie M. Sutherland Australia 21 416 0.5× 492 0.7× 135 0.3× 450 2.0× 177 0.8× 49 1.2k
Moghissi Ks United States 10 1.8k 2.1× 1.1k 1.5× 269 0.5× 287 1.3× 141 0.6× 26 2.3k
P. Lähteenmäki Finland 25 717 0.9× 889 1.2× 280 0.5× 130 0.6× 203 0.9× 55 1.7k

Countries citing papers authored by Rafael Bernabéu

Since Specialization
Citations

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

Fields of papers citing papers by Rafael Bernabéu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafael Bernabéu

This figure shows the co-authorship network connecting the top 25 collaborators of Rafael Bernabéu. A scholar is included among the top collaborators of Rafael Bernabéu 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 Rafael Bernabéu. Rafael Bernabéu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ten, Jorge, et al.. (2024). Enhancing predictive models for egg donation: time to blastocyst hatching and machine learning insights. Reproductive Biology and Endocrinology. 22(1). 116–116. 1 indexed citations
2.
Castillo, Juan Carlos, et al.. (2024). Efficacy of modified natural cycle vs. hormone replacement therapy in oocyte donation for recipients of advanced maternal age: a retrospective study. Journal of Assisted Reproduction and Genetics. 42(2). 433–439.
3.
Lledó, Belén, J. Piqueras, F M Lozano, et al.. (2024). Exome sequencing in genuine empty follicle syndrome: Novel candidate genes. European Journal of Obstetrics & Gynecology and Reproductive Biology. 297. 221–226. 1 indexed citations
5.
Lozano, F M, et al.. (2023). Characterization of the Endometrial Microbiome in Patients with Recurrent Implantation Failure. Microorganisms. 11(3). 741–741. 20 indexed citations
6.
Castillo, Juan Carlos, Belén Moliner, M. Elena Martinez, et al.. (2023). O-224 Effect of intraovarian injection of platelet rich plasma on ovarian response in poor responder women. Human Reproduction. 38(Supplement_1).
7.
Lledó, Belén, et al.. (2023). O-079 Perinatal and postnatal outcomes up to the third year of life after the transfer of mosaic embryos compared with euploid embryos. Human Reproduction. 38(Supplement_1). 1 indexed citations
8.
Lledó, Belén, Andrea Di Marco, Ruth Morales, et al.. (2023). Identification of novel candidate genes associated with meiotic aneuploidy in human embryos by whole-exome sequencing. Journal of Assisted Reproduction and Genetics. 40(7). 1755–1763. 1 indexed citations
10.
Castillo, Juan Carlos, et al.. (2023). Does mRNA COVID-19 vaccination in oocyte donors impact ovarian stimulation parameters or IVF outcomes for recipients?. Reproductive BioMedicine Online. 46(4). 697–704. 3 indexed citations
12.
Bernabéu, A, Concepción Carratalá‐Munuera, José A. Quesada, et al.. (2020). Expert consensus for primary management of reproductive health: a Delphi study. Irish Journal of Medical Science (1971 -). 190(2). 677–684. 3 indexed citations
13.
Lledó, Belén, et al.. (2019). The relevance of the individual screening for genetic variants in predicting ovarian response. Pharmacogenetics and Genomics. 29(9). 216–223. 4 indexed citations
14.
Bernabéu, Rafael, et al.. (2018). Comparison of two closed carriers for vitrification of human blastocysts in a donor program. Cryobiology. 81. 12–16. 2 indexed citations
15.
Bernabéu, A, J A Ortíz, Belén Lledó, et al.. (2017). Abstracts for 2017 Foundation for Reproductive Medicine Translational Reproductive Biology and Clinical Reproductive Endocrinology Conference. Journal of Assisted Reproduction and Genetics. 34(10). 1385–1402. 1 indexed citations
16.
Lledó, Belén, J. Llácer, J A Ortíz, et al.. (2014). Androgen receptor CAG repeat length is associated with ovarian reserve but not with ovarian response. Reproductive BioMedicine Online. 29(4). 509–515. 10 indexed citations
17.
Lledó, Belén, J A Ortíz, Ruth Morales, et al.. (2013). Effect of follicle-stimulating hormone receptor N680S polymorphism on the efficacy of follicle-stimulating hormone stimulation on donor ovarian response. Pharmacogenetics and Genomics. 23(5). 262–268. 24 indexed citations
18.
Marhuenda‐Egea, Frutos C., et al.. (2009). A crucial step in assisted reproduction technology: human embryo selection using metabolomic evaluation. Fertility and Sterility. 94(2). 772–774. 23 indexed citations
19.
Mendiola, Jaime, Alberto M. Torres‐Cantero, J. Moreno, et al.. (2008). Food intake and its relationship with semen quality: a case-control study. Fertility and Sterility. 91(3). 812–818. 115 indexed citations
20.
Bernabéu, Rafael, Nieves Cremades, K. Takahashi, & Mário Sousa. (1998). Successful pregnancy after spermatid injection. Human Reproduction. 13(7). 1898–1900. 40 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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