Jorge Ten

1.8k total citations
52 papers, 1.3k citations indexed

About

Jorge Ten is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Jorge Ten has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Reproductive Medicine, 33 papers in Public Health, Environmental and Occupational Health and 21 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Jorge Ten's work include Reproductive Biology and Fertility (31 papers), Sperm and Testicular Function (19 papers) and Ovarian function and disorders (16 papers). Jorge Ten is often cited by papers focused on Reproductive Biology and Fertility (31 papers), Sperm and Testicular Function (19 papers) and Ovarian function and disorders (16 papers). Jorge Ten collaborates with scholars based in Spain, United States and Colombia. Jorge Ten's co-authors include Rafael Bernabéu, Belén Lledó, Jaime Mendiola, Alberto M. Torres‐Cantero, Stella Moreno‐Grau, Manuela Roca, J. Moreno, J. Llácer, Juan J. Tarı́n and J A Ortíz and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Molecular Human Reproduction.

In The Last Decade

Jorge Ten

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge Ten Spain 20 602 598 383 234 180 52 1.3k
Rafael Bernabéu Spain 22 736 1.2× 822 1.4× 512 1.3× 225 1.0× 175 1.0× 92 1.6k
Aditi Mulgund United States 4 802 1.3× 1.4k 2.3× 259 0.7× 332 1.4× 112 0.6× 8 1.8k
Jessie M. Sutherland Australia 21 492 0.8× 416 0.7× 135 0.4× 450 1.9× 72 0.4× 49 1.2k
Neel Parekh United States 11 465 0.8× 814 1.4× 116 0.3× 309 1.3× 62 0.3× 39 1.3k
Fabrice Guérif France 24 1.1k 1.8× 963 1.6× 515 1.3× 435 1.9× 101 0.6× 74 1.9k
Jordi Ribas‐Maynou Spain 21 1.0k 1.7× 1.3k 2.1× 168 0.4× 188 0.8× 41 0.2× 63 1.5k
Majedah Al‐Azemi Kuwait 18 757 1.3× 815 1.4× 299 0.8× 80 0.3× 99 0.6× 34 1.5k
Christina I. Messini Greece 22 613 1.0× 878 1.5× 232 0.6× 180 0.8× 46 0.3× 66 1.5k
Edmund Ko United States 25 827 1.4× 1.1k 1.9× 390 1.0× 517 2.2× 81 0.5× 48 2.0k
George Anifandis Greece 21 602 1.0× 735 1.2× 256 0.7× 183 0.8× 39 0.2× 70 1.3k

Countries citing papers authored by Jorge Ten

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Ten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Ten

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Ten. A scholar is included among the top collaborators of Jorge Ten 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 Jorge Ten. Jorge Ten 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.
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
3.
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.
4.
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
5.
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
6.
7.
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
8.
Morales, Ruth, Belén Lledó, J A Ortíz, et al.. (2016). Chromosomal polymorphic variants increase aneuploidies in male gametes and embryos. Systems Biology in Reproductive Medicine. 62(5). 317–324. 18 indexed citations
9.
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
10.
Santos, María José de los, Gemma Arroyo, Gloria Calderón, et al.. (2014). A multicenter prospective study to assess the effect of early cleavage on embryo quality, implantation, and live-birth rate. Fertility and Sterility. 101(4). 981–987. 25 indexed citations
11.
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
12.
Mendiola, Jaime, J. Moreno, Manuela Roca, et al.. (2011). Relationships between heavy metal concentrations in three different body fluids and male reproductive parameters: a pilot study. Environmental Health. 10(1). 6–6. 147 indexed citations
13.
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
14.
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
15.
Mendiola, Jaime, Alberto M. Torres‐Cantero, J. Moreno, et al.. (2008). Exposure to environmental toxins in males seeking infertility treatment: a case-controlled study. Reproductive BioMedicine Online. 16(6). 842–850. 40 indexed citations
16.
Ten, Jorge, Jaime Mendiola, Jesús Vioqué, Joaquı́n De Juan, & Rafael Bernabéu. (2007). Donor oocyte dysmorphisms and their influence on fertilization and embryo quality. Reproductive BioMedicine Online. 14(1). 40–48. 61 indexed citations
17.
Bernabéu, Rafael, et al.. (2005). Indomethacin effect on implantation rates in oocyte recipients. Human Reproduction. 21(2). 364–369. 32 indexed citations
18.
19.
Tarı́n, Juan J., et al.. (1998). Effects of maternal ageing and dietary antioxidant supplementation on ovulation, fertilisation and embryo development in vitro in the mouse. annales de biologie animale biochimie biophysique. 38(5). 499–508. 19 indexed citations
20.
Tarı́n, Juan J., et al.. (1998). Dithiothreitol prevents age-associated decrease in oocyte/conceptus viability in vitro. Human Reproduction. 13(2). 381–386. 72 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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