A Bernabéu

673 total citations
50 papers, 471 citations indexed

About

A 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, A Bernabéu has authored 50 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Reproductive Medicine, 22 papers in Public Health, Environmental and Occupational Health and 19 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in A Bernabéu's work include Reproductive Biology and Fertility (19 papers), Ovarian function and disorders (14 papers) and Prenatal Screening and Diagnostics (14 papers). A Bernabéu is often cited by papers focused on Reproductive Biology and Fertility (19 papers), Ovarian function and disorders (14 papers) and Prenatal Screening and Diagnostics (14 papers). A Bernabéu collaborates with scholars based in Spain, United States and Denmark. A Bernabéu's co-authors include Belén Lledó, Rafael Bernabéu, Ruth Morales, J. Llácer, Jorge Ten, J A Ortíz, F M Lozano, Juan Carlos Castillo, Belén Moliner and Concepción Carratalá‐Munuera and has published in prestigious journals such as Scientific Reports, Human Reproduction and Fertility and Sterility.

In The Last Decade

A Bernabéu

37 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A Bernabéu Spain 12 199 160 155 140 122 50 471
J. Llácer Spain 15 240 1.2× 113 0.7× 152 1.0× 206 1.5× 200 1.6× 34 540
Ruth Morales Spain 13 189 0.9× 82 0.5× 133 0.9× 151 1.1× 160 1.3× 33 426
Koichi Kyono Japan 14 377 1.9× 189 1.2× 310 2.0× 446 3.2× 104 0.9× 37 761
Martin D. Keltz United States 19 371 1.9× 122 0.8× 149 1.0× 461 3.3× 191 1.6× 51 860
C. Debache France 9 225 1.1× 105 0.7× 88 0.6× 220 1.6× 73 0.6× 13 383
Rivka Koedooder Netherlands 5 63 0.3× 195 1.2× 141 0.9× 84 0.6× 18 0.1× 8 330
E Glowaczower France 11 144 0.7× 31 0.2× 74 0.5× 130 0.9× 85 0.7× 26 375
Anoria K. Haick United States 7 64 0.3× 146 0.9× 208 1.3× 78 0.6× 7 0.1× 12 441
Shari Mackens Belgium 17 758 3.8× 82 0.5× 396 2.6× 828 5.9× 458 3.8× 67 1.1k
Jani R. Jensen United States 11 162 0.8× 52 0.3× 68 0.4× 181 1.3× 34 0.3× 21 368

Countries citing papers authored by A Bernabéu

Since Specialization
Citations

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

Fields of papers citing papers by A Bernabéu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A Bernabéu

This figure shows the co-authorship network connecting the top 25 collaborators of A Bernabéu. A scholar is included among the top collaborators of A 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 A Bernabéu. A 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.
Ortíz, J A, Belén Lledó, Ruth Morales, et al.. (2025). Pharmacogenetic analysis using artificial intelligence (AI) to identify polymorphisms associated with sub-optimal ovarian response and hyper-response. Journal of Assisted Reproduction and Genetics. 42(6). 1863–1873.
2.
Zepeda, A, et al.. (2024). The Role of Artificial Intelligence (AI) in Predicting Live Birth Using Embryo Morphokinetic Parameters. Reproductive BioMedicine Online. 48. 104047–104047.
3.
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
4.
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.
5.
Ortíz, J A, et al.. (2024). Factors affecting biochemical pregnancy loss (BPL) in preimplantation genetic testing for aneuploidy (PGT-A) cycles: machine learning-assisted identification. Reproductive Biology and Endocrinology. 22(1). 101–101. 3 indexed citations
7.
Ortíz, J A, et al.. (2024). Impact of Group vs Individual Embryo Culture Strategies on Blastocyst and Clinical Outcomes. Reproductive Sciences. 31(6). 1705–1711. 1 indexed citations
8.
Morales, Ruth, Belén Lledó, J A Ortíz, et al.. (2024). Perinatal and postnatal outcomes up to the third year of life after the transfer of mosaic embryos compared with euploid embryos. Fertility and Sterility. 122(3). 537–539.
9.
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
10.
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).
11.
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
12.
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
14.
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
15.
Racca, Annalisa, A Bernabéu, Rafael Bernabéu, & Simone Ferrero. (2023). Endometrial receptivity in women with endometriosis. Best Practice & Research Clinical Obstetrics & Gynaecology. 92. 102438–102438. 6 indexed citations
16.
Morales, Ruth, J A Ortíz, Belén Lledó, et al.. (2023). Factors associated with embryo mosaicism: a systematic review and meta-analysis. Journal of Assisted Reproduction and Genetics. 40(10). 2317–2324. 2 indexed citations
17.
Lledó, Belén, et al.. (2022). IL-6/IL-10 and IL-1β/IL-4 ratios associated with poor ovarian response in women undergoing in-vitro fertilization. European Journal of Obstetrics & Gynecology and Reproductive Biology. 280. 68–72. 2 indexed citations
18.
Moliner, Belén, et al.. (2021). The Effect of Twisted Uterus Caused by Endometriosis or Myomatosis on Reproductive Treatment Outcomes. Journal of Family & Reproductive Health. 15(2). 106–111. 1 indexed citations
19.
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
20.
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

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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