E. Velilla

1.3k total citations
23 papers, 983 citations indexed

About

E. Velilla is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, E. Velilla has authored 23 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pediatrics, Perinatology and Child Health, 11 papers in Public Health, Environmental and Occupational Health and 7 papers in Genetics. Recurrent topics in E. Velilla's work include Prenatal Screening and Diagnostics (15 papers), Reproductive Biology and Fertility (11 papers) and Genomic variations and chromosomal abnormalities (6 papers). E. Velilla is often cited by papers focused on Prenatal Screening and Diagnostics (15 papers), Reproductive Biology and Fertility (11 papers) and Genomic variations and chromosomal abnormalities (6 papers). E. Velilla collaborates with scholars based in Spain, United States and Israel. E. Velilla's co-authors include S. Munné, Tomás Escudero, Jacques Cohen, M.T. Paramio, M. Sandalinas, Manel López‐Béjar, David Sable, R.H. Walmsley, Sasha Sadowy and P. Colls and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Theriogenology.

In The Last Decade

E. Velilla

21 papers receiving 922 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Velilla Spain 14 619 488 332 287 244 23 983
John Garrisi United States 12 702 1.1× 691 1.4× 228 0.7× 260 0.9× 397 1.6× 22 1.1k
Giles Tomkin United States 11 1.0k 1.6× 1.0k 2.1× 272 0.8× 413 1.4× 601 2.5× 15 1.5k
Cristina Gutiérrez-Mateo Spain 11 871 1.4× 494 1.0× 420 1.3× 235 0.8× 147 0.6× 14 1.0k
Paula C. Morton United States 18 517 0.8× 856 1.8× 152 0.5× 199 0.7× 715 2.9× 25 1.1k
Jeanine Cieslak United States 11 565 0.9× 345 0.7× 266 0.8× 160 0.6× 196 0.8× 14 761
M.H.E.C. Pieters Netherlands 22 787 1.3× 931 1.9× 502 1.5× 297 1.0× 881 3.6× 34 1.6k
M.J. Glassner United States 10 484 0.8× 460 0.9× 161 0.5× 133 0.5× 293 1.2× 29 788
K.M. Ferry United States 11 1.2k 1.9× 722 1.5× 324 1.0× 280 1.0× 364 1.5× 25 1.4k
M. Katz-Jaffe United States 15 1.3k 2.1× 817 1.7× 441 1.3× 331 1.2× 316 1.3× 47 1.5k
Claude-Edouard Michel United Kingdom 8 546 0.9× 342 0.7× 212 0.6× 214 0.7× 90 0.4× 9 798

Countries citing papers authored by E. Velilla

Since Specialization
Citations

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

Fields of papers citing papers by E. Velilla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of E. Velilla. A scholar is included among the top collaborators of E. Velilla 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. Velilla. E. Velilla 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.
Velilla, E., et al.. (2015). A 24-chromosome FISH technique in preimplantation genetic diagnosis: validation of the method. Systems Biology in Reproductive Medicine. 61(3). 171–177.
2.
Rius, Mariona, A. Obradors, Javier del Rey, et al.. (2013). Non-meiotic chromosome instability in human immature oocytes. European Journal of Human Genetics. 22(2). 202–207. 20 indexed citations
3.
Velilla, E., et al.. (2013). A study of meiotic segregation in a fertile human population following ovarian stimulation with recombinant FSH-LH. Journal of Assisted Reproduction and Genetics. 30(2). 269–274. 2 indexed citations
4.
Velilla, E., et al.. (2011). Ovarian stimulation with recombinant FSH-LH results in a high recovery of euploid oocytes. Fertility and Sterility. 96(3). S236–S236.
5.
Brieño‐Enríquez, Miguel A., Ignasi Roig, Mark Grossmann, et al.. (2010). Dynamics of cohesin proteins REC8, STAG3, SMC1  and SMC3 are consistent with a role in sister chromatid cohesion during meiosis in human oocytes. Human Reproduction. 25(9). 2316–2327. 88 indexed citations
6.
Rius, Mariona, A. Obradors, E. Velilla, et al.. (2010). Comprehensive embryo analysis of advanced maternal age–related aneuploidies and mosaicism by short comparative genomic hybridization. Fertility and Sterility. 95(1). 413–416. 35 indexed citations
7.
Rius, Mariona, A. Obradors, Juliana Cuzzi, et al.. (2010). Reliability of short comparative genomic hybridization in fibroblasts and blastomeres for a comprehensive aneuploidy screening: first clinical application. Human Reproduction. 25(7). 1824–1835. 27 indexed citations
8.
Fernández, Silvia, et al.. (2009). Processing of semen can result in increased sperm DNA fragmentation. Fertility and Sterility. 92(6). 2109–2112. 24 indexed citations
9.
Velilla, E., et al.. (2006). Mitochondrial organization in prepubertal goat oocytes during in vitro maturation and fertilization. Molecular Reproduction and Development. 73(5). 617–626. 30 indexed citations
10.
Munné, S., E. Velilla, P. Colls, et al.. (2005). Self-correction of chromosomally abnormal embryos in culture and implications for stem cell production. Fertility and Sterility. 84(5). 1328–1334. 115 indexed citations
11.
12.
Munné, S., Muhterem Bahçe, M. Sandalinas, et al.. (2004). Differences in chromosome susceptibility to aneuploidy and survival to first trimester. Reproductive BioMedicine Online. 8(1). 81–90. 97 indexed citations
13.
Velilla, E., et al.. (2004). Distribution of prepubertal and adult goat oocyte cortical granules during meiotic maturation and fertilisation: Ultrastructural and cytochemical study. Molecular Reproduction and Development. 68(4). 507–514. 38 indexed citations
14.
Munné, S., M. Sandalinas, Tomás Escudero, et al.. (2003). Improved implantation after preimplantation genetic diagnosis of aneuploidy. Reproductive BioMedicine Online. 7(1). 91–97. 232 indexed citations
15.
Werlin, L.B., T. Escudero, E. Velilla, et al.. (2002). Preimplantation genetic diagnosis (PGD) as both a diagnostic and therapeutic tool in women with advanced maternal age (AMA) undergoing IVF. Fertility and Sterility. 77. S13–S14. 4 indexed citations
16.
Velilla, E., et al.. (2002). Effect of Hoechst 33342 staining on developmental competence of prepubertal goat oocytes. Zygote. 10(3). 201–208. 25 indexed citations
17.
Velilla, E., Tomás Escudero, & S. Munné. (2002). Blastomere fixation techniques and risk of misdiagnosis for preimplantation genetic diagnosis of aneuploidy. Reproductive BioMedicine Online. 4(3). 210–217. 99 indexed citations
18.
Nass, Thomas E., T. Escudero, E. Velilla, et al.. (2002). Dissociation between embyro morphology and euploidy in IVF patients with poor prognosis. Fertility and Sterility. 77. S11–S11. 3 indexed citations
19.
López‐Béjar, Manel, et al.. (2002). Selection of prepubertal goat oocytes using the brilliant cresyl blue test. Theriogenology. 57(5). 1397–1409. 101 indexed citations
20.
Velilla, E.. (1999). Effect of 6-methylprednisolone on mouse pregnancy rate. Human Reproduction. 14(1). 207–210. 5 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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