Daniela Galliano

2.2k total citations
36 papers, 737 citations indexed

About

Daniela Galliano is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Obstetrics and Gynecology. According to data from OpenAlex, Daniela Galliano has authored 36 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Reproductive Medicine, 16 papers in Public Health, Environmental and Occupational Health and 14 papers in Obstetrics and Gynecology. Recurrent topics in Daniela Galliano's work include Reproductive Biology and Fertility (14 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers) and Reproductive System and Pregnancy (9 papers). Daniela Galliano is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Assisted Reproductive Technology and Twin Pregnancy (10 papers) and Reproductive System and Pregnancy (9 papers). Daniela Galliano collaborates with scholars based in Spain, Italy and United States. Daniela Galliano's co-authors include António Pellicer, José Bellver, César Díaz‐García, Carlos Simón, Mauro Cozzolino, Nuria Pellicer, Paul Pirtea, Ettore Cicinelli, Vicente Serra and Nicolás Garrido and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Human Reproduction Update.

In The Last Decade

Daniela Galliano

31 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Galliano Spain 16 425 294 235 225 188 36 737
Wangming Xu China 13 283 0.7× 280 1.0× 207 0.9× 250 1.1× 204 1.1× 43 652
Kadri Haller‐Kikkatalo Estonia 16 298 0.7× 192 0.7× 155 0.7× 228 1.0× 92 0.5× 22 648
Faruk Buyru Türkiye 13 369 0.9× 187 0.6× 152 0.6× 236 1.0× 74 0.4× 38 593
Joyce Chai Hong Kong 15 362 0.9× 339 1.2× 186 0.8× 223 1.0× 153 0.8× 22 647
Ektoras X Georgiou United Kingdom 12 203 0.5× 136 0.5× 206 0.9× 242 1.1× 94 0.5× 22 626
Daimin Wei China 14 446 1.0× 420 1.4× 132 0.6× 97 0.4× 354 1.9× 47 703
Kwang Moon Yang South Korea 16 249 0.6× 287 1.0× 148 0.6× 144 0.6× 176 0.9× 41 587
Tomoya Segawa Japan 16 436 1.0× 224 0.8× 299 1.3× 88 0.4× 194 1.0× 38 798
Xinling Ren China 13 404 1.0× 371 1.3× 108 0.5× 128 0.6× 229 1.2× 35 585
Isaac Ben‐Nun Israel 16 406 1.0× 368 1.3× 87 0.4× 161 0.7× 180 1.0× 39 679

Countries citing papers authored by Daniela Galliano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Galliano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Galliano

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Galliano. A scholar is included among the top collaborators of Daniela Galliano 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 Daniela Galliano. Daniela Galliano 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.
Galliano, Daniela, et al.. (2025). Deep Learning Models: Their Relationship with Embryonic Euploidies and Reproductive Outcomes. Genes. 16(8). 981–981.
2.
3.
Pellicer, António, et al.. (2024). Adenomyosis: An Update Concerning Diagnosis, Treatment, and Fertility. Journal of Clinical Medicine. 13(17). 5224–5224. 13 indexed citations
4.
Pellegrini, Livia, et al.. (2024). Dysmorphic Uterus: More Questions than Answers. Journal of Clinical Medicine. 13(15). 4333–4333.
5.
Giménez, Carla, et al.. (2024). Advancements and Challenges in Preimplantation Genetic Testing for Aneuploidies: In the Pathway to Non-Invasive Techniques. Genes. 15(12). 1613–1613. 3 indexed citations
6.
Mariani, Giulia, et al.. (2024). Psychosocial and environmental motivational key factors behind the parenthood desire in infertile couples at the time of COVID-19. Journal of Assisted Reproduction and Genetics. 41(11). 3071–3077. 1 indexed citations
7.
Cozzolino, Mauro, et al.. (2024). The ovarian stimulation regimen does not affect aneuploidy or blastocyst rate. Reproductive BioMedicine Online. 49(2). 103851–103851. 2 indexed citations
8.
Pellegrini, Livia, et al.. (2024). The effect of male factors on embryo morphokinetics: a retrospective analysis of 2726 blastocysts. Journal of Assisted Reproduction and Genetics. 41(12). 3467–3475. 4 indexed citations
9.
Cozzolino, Mauro, et al.. (2023). Impact of adenomyosis on in vitro fertilization outcomes in women undergoing donor oocyte transfers: a prospective observational study. Fertility and Sterility. 121(3). 480–488. 24 indexed citations
10.
Cozzolino, Mauro, Gustavo Nardini Cecchino, Juan A. García-Velasco, et al.. (2023). Preimplantation genetic testing for aneuploidy is not related to adverse obstetric and neonatal outcomes in singleton pregnancies. Human Reproduction. 38(8). 1621–1627. 5 indexed citations
11.
Pellicer, Nuria, Mauro Cozzolino, César Díaz‐García, et al.. (2022). Ovarian rescue in women with premature ovarian insufficiency: facts and fiction. Reproductive BioMedicine Online. 46(3). 543–565. 25 indexed citations
12.
Requena, Antonio, et al.. (2020). A picture of the covid-19 impact on IVIRMA fertility treatment clinics in Spain and Italy. Reproductive BioMedicine Online. 41(1). 1–5. 18 indexed citations
13.
Ziegler, Dominique de, Paul Pirtea, Daniela Galliano, Ettore Cicinelli, & David R. Meldrum. (2016). Optimal uterine anatomy and physiology necessary for normal implantation and placentation. Fertility and Sterility. 105(4). 844–854. 45 indexed citations
14.
Costa-Borges, Nuno, et al.. (2015). Blastocyst development in single medium with or without renewal on day 3: a prospective cohort study on sibling donor oocytes in a time-lapse incubator. Fertility and Sterility. 105(3). 707–713. 29 indexed citations
15.
Galliano, Daniela, Nicolás Garrido, Vicente Serra, & António Pellicer. (2015). Difference in birth weight of consecutive sibling singletons is not found in oocyte donation when comparing fresh versus frozen embryo replacements. Fertility and Sterility. 104(6). 1411–1418.e3. 34 indexed citations
16.
Bellver, José, María José de los Santos, Pilar Alamá, et al.. (2015). Day-3 embryo metabolomics in the spent culture media is altered in obese women undergoing in vitro fertilization. Fertility and Sterility. 103(6). 1407–1415.e1. 28 indexed citations
17.
Mendoza, Nicolás, Daniela Galliano, Pluvio Coronado, et al.. (2014). Spanish consensus on premature menopause. Maturitas. 80(2). 220–225. 29 indexed citations
18.
Galliano, Daniela & António Pellicer. (2014). MicroRNA and implantation. Fertility and Sterility. 101(6). 1531–1544. 91 indexed citations
19.
Galliano, Daniela & José Bellver. (2013). Female obesity: short- and long-term consequences on the offspring. Gynecological Endocrinology. 29(7). 626–631. 43 indexed citations
20.
Mendoza, Nicolás, Daniela Galliano, Juan Eloy Ruiz‐Castro, et al.. (2010). Lowering the Age at Menarche and Risk of Early Menarche in a Population of Spanish Postmenopausal Women During the Past Two Decades. Menopause international. 16(3). 111–114. 14 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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