Fernando Bronet

987 total citations
26 papers, 702 citations indexed

About

Fernando Bronet is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Reproductive Medicine. According to data from OpenAlex, Fernando Bronet has authored 26 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Pediatrics, Perinatology and Child Health, 16 papers in Public Health, Environmental and Occupational Health and 10 papers in Reproductive Medicine. Recurrent topics in Fernando Bronet's work include Reproductive Biology and Fertility (15 papers), Prenatal Screening and Diagnostics (15 papers) and Assisted Reproductive Technology and Twin Pregnancy (10 papers). Fernando Bronet is often cited by papers focused on Reproductive Biology and Fertility (15 papers), Prenatal Screening and Diagnostics (15 papers) and Assisted Reproductive Technology and Twin Pregnancy (10 papers). Fernando Bronet collaborates with scholars based in Spain, Portugal and Netherlands. Fernando Bronet's co-authors include Juan A. García-Velasco, Marcos Meseguer, Natalia Basile, Lorena Rodrigo, M. Florensa, Dean E. Morbeck, V. Goossens, Martine De Rycke, Alberto Pacheco and Carmen Rubio and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Reproduction.

In The Last Decade

Fernando Bronet

26 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fernando Bronet Spain 13 546 464 290 185 99 26 702
Alessandra Ruberti Italy 8 540 1.0× 602 1.3× 263 0.9× 176 1.0× 151 1.5× 12 798
Silvia Colamaria Italy 14 682 1.2× 528 1.1× 582 2.0× 127 0.7× 78 0.8× 21 877
Sandra García-Herrero Spain 15 440 0.8× 324 0.7× 388 1.3× 124 0.7× 215 2.2× 23 705
Alfredo Guillén Spain 7 393 0.7× 358 0.8× 316 1.1× 71 0.4× 101 1.0× 13 598
Natalia Basile Spain 11 787 1.4× 532 1.1× 417 1.4× 254 1.4× 47 0.5× 26 879
Shala A Salem United States 7 320 0.6× 491 1.1× 133 0.5× 119 0.6× 121 1.2× 9 576
En‐Hui Cheng Taiwan 11 298 0.5× 333 0.7× 145 0.5× 99 0.5× 91 0.9× 31 517
M Parriego Spain 13 418 0.8× 397 0.9× 349 1.2× 87 0.5× 64 0.6× 32 603
Masha Brengauz Israel 14 467 0.9× 213 0.5× 410 1.4× 103 0.6× 57 0.6× 20 568
Nasser Al‐Asmar Spain 9 252 0.5× 357 0.8× 108 0.4× 145 0.8× 113 1.1× 10 485

Countries citing papers authored by Fernando Bronet

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Bronet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Bronet

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Bronet. A scholar is included among the top collaborators of Fernando Bronet 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 Fernando Bronet. Fernando Bronet 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.
Spinella, Francesca, Fernando Bronet, Filipa Carvalho, et al.. (2023). ESHRE PGT Consortium data collection XXI: PGT analyses in 2018. Human Reproduction Open. 2023(2). hoad010–hoad010. 30 indexed citations
2.
Muñoz, Elkin, et al.. (2023). To transfer or not to transfer: the dilemma of mosaic embryos – a narrative review. Reproductive BioMedicine Online. 48(3). 103664–103664. 7 indexed citations
3.
Cruz, María, et al.. (2021). Association between clinical and IVF laboratory parameters and miscarriage after single euploid embryo transfers. Reproductive Biology and Endocrinology. 19(1). 186–186. 13 indexed citations
4.
Kokkali, Georgia, Giovanni Coticchio, Fernando Bronet, et al.. (2020). ESHRE PGT Consortium and SIG Embryology good practice recommendations for polar body and embryo biopsy for PGT†. Human Reproduction Open. 2020(3). hoaa020–hoaa020. 89 indexed citations
5.
Pacheco, Alberto, et al.. (2020). Magnetic-Activated Cell Sorting (MACS): A Useful Sperm-Selection Technique in Cases of High Levels of Sperm DNA Fragmentation. Journal of Clinical Medicine. 9(12). 3976–3976. 39 indexed citations
6.
Mateu, Emilia, Lorena Rodrigo, Vanessa Peinado, et al.. (2019). Interchromosomal effect in carriers of translocations and inversions assessed by preimplantation genetic testing for structural rearrangements (PGT-SR). Journal of Assisted Reproduction and Genetics. 36(12). 2547–2555. 38 indexed citations
7.
Bronet, Fernando & David Agudo. (2017). Should we forget about embryos till day 5?. Current Opinion in Obstetrics & Gynecology. 29(3). 107–111. 3 indexed citations
8.
Bronet, Fernando, et al.. (2016). Type of chromosome abnormality affects embryo morphology dynamics. Fertility and Sterility. 107(1). 229–235.e2. 67 indexed citations
9.
Basile, Natalia, et al.. (2016). Automatic time-lapse instrument is superior to single-point morphology observation for selecting viable embryos: retrospective study in oocyte donation. Fertility and Sterility. 106(6). 1379–1385.e10. 39 indexed citations
10.
Bronet, Fernando, et al.. (2014). Is there a relationship between time-lapse parameters and embryo sex?. Fertility and Sterility. 103(2). 396–401.e2. 33 indexed citations
11.
Bronet, Fernando, et al.. (2014). Impact of embryo gender on morphokinetic behaviour. Fertility and Sterility. 102(3). e210–e210. 1 indexed citations
12.
Herrero, Leyre, et al.. (2014). Oocyte versus embryo vitrification for delayed embryo transfer: an observational study. Reproductive BioMedicine Online. 29(5). 567–572. 13 indexed citations
13.
Basile, Natalia, Fernando Bronet, M. Florensa, et al.. (2014). Increasing the probability of selecting chromosomally normal embryos by time-lapse morphokinetics analysis. Fertility and Sterility. 101(3). 699–704.e1. 143 indexed citations
14.
Basile, Natalia, Dean E. Morbeck, Juan A. García-Velasco, Fernando Bronet, & Marcos Meseguer. (2013). Type of culture media does not affect embryo kinetics: a time-lapse analysis of sibling oocytes. Human Reproduction. 28(3). 634–641. 86 indexed citations
15.
16.
Agudo, David, et al.. (2013). Effects of low O2 concentration in extended embryo culture using benchtop incubators (embryoscope and MINC). Fertility and Sterility. 100(3). S251–S251. 1 indexed citations
17.
Basile, Natalia, et al.. (2012). Time-lapse technology reveals no difference between embryo quality and the chromosomal status of day 3 embryos. Fertility and Sterility. 98(3). S142–S142. 1 indexed citations
18.
19.
Requena, Antonio, et al.. (2009). The impact of in-vitro maturation of oocytes on aneuploidy rate. Reproductive BioMedicine Online. 18(6). 777–783. 34 indexed citations
20.
Bronet, Fernando, et al.. (2007). Maduración in vitro de ovocitos. Dialnet (Universidad de la Rioja). 13(3). 65–72. 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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