M. Florensa

713 total citations
19 papers, 529 citations indexed

About

M. Florensa is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, M. Florensa has authored 19 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 12 papers in Reproductive Medicine and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in M. Florensa's work include Reproductive Biology and Fertility (12 papers), Reproductive Health and Technologies (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). M. Florensa is often cited by papers focused on Reproductive Biology and Fertility (12 papers), Reproductive Health and Technologies (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). M. Florensa collaborates with scholars based in Spain and United States. M. Florensa's co-authors include Marcos Meseguer, Juan A. García-Velasco, Natalia Basile, B. Aparicio Ruiz, José Remohı́, Lorena Rodrigo, Fernando Bronet, Marga Esbert, Alberto Pacheco and Sérgio Reis Soares and has published in prestigious journals such as Human Reproduction, Fertility and Sterility and Reproductive BioMedicine Online.

In The Last Decade

M. Florensa

17 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Florensa Spain 7 467 308 274 146 42 19 529
Michael Barry Australia 7 481 1.0× 350 1.1× 231 0.8× 143 1.0× 50 1.2× 12 542
Marı́a José Escribá Spain 7 365 0.8× 195 0.6× 188 0.7× 197 1.3× 26 0.6× 15 451
Filomena Scarselli Italy 13 574 1.2× 548 1.8× 323 1.2× 168 1.2× 101 2.4× 17 786
Jacques Cohen United States 10 398 0.9× 292 0.9× 246 0.9× 186 1.3× 61 1.5× 12 557
Heidi Van Ranst Belgium 9 458 1.0× 375 1.2× 180 0.7× 128 0.9× 72 1.7× 14 561
Alessandra Ruberti Italy 8 540 1.2× 263 0.9× 602 2.2× 176 1.2× 151 3.6× 12 798
Ching-Chien Chang United States 11 457 1.0× 372 1.2× 124 0.5× 186 1.3× 32 0.8× 18 541
S.P. Flaherty Australia 6 481 1.0× 319 1.0× 271 1.0× 152 1.0× 92 2.2× 10 562
Nasser Al‐Asmar Spain 9 252 0.5× 108 0.4× 357 1.3× 145 1.0× 113 2.7× 10 485
Junko Otsuki Japan 13 505 1.1× 290 0.9× 255 0.9× 194 1.3× 32 0.8× 41 597

Countries citing papers authored by M. Florensa

Since Specialization
Citations

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

Fields of papers citing papers by M. Florensa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Florensa

This figure shows the co-authorship network connecting the top 25 collaborators of M. Florensa. A scholar is included among the top collaborators of M. Florensa 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 M. Florensa. M. Florensa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Florensa, M., et al.. (2025). Fertility treatments in transgender individuals: trends, clinical outcomes, and impact of testosterone on ovarian stimulation. Journal of Assisted Reproduction and Genetics. 42(9). 3021–3030.
2.
Florensa, M., et al.. (2024). Preimplantation genetic testing for aneuploidy: predictive embryonic factors. Journal of Assisted Reproduction and Genetics. 41(5). 1329–1339. 1 indexed citations
3.
Florensa, M., et al.. (2023). FERTILITY TREATMENTS AMONG THE TRANSGENDER COMMUNITY: DEMOGRAPHICS, TYPE OF TREATMENTS AND CLINICAL OUTCOMES. Fertility and Sterility. 120(4). e159–e159.
4.
Florensa, M., et al.. (2020). Role of the patient's social features in the destiny of cryopreserved surplus embryos. 7(2). 68–73. 1 indexed citations
5.
Franasiak, Jason M., Almudena Devesa-Peiró, Marina López‐Nogueroles, et al.. (2019). The degradation of vitamin D across time: an issue leading to unreliable results in reproductive research. Fertility and Sterility. 112(3). e339–e340. 4 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.
Franasiak, Jason M., Diego Marín, Xin Tao, et al.. (2019). Cumulus cells have longer telomeres than leukocytes in reproductive-age women. Fertility and Sterility. 113(1). 217–223. 20 indexed citations
8.
Esbert, Marga, et al.. (2018). High sperm DNA fragmentation delays human embryo kinetics when oocytes from young and healthy donors are microinjected. Andrology. 6(5). 697–706. 65 indexed citations
9.
Mateu, Emilia, Lorena Rodrigo, Miguel Milán, et al.. (2018). Preimplantation genetic diagnosis for translocations and interchromosomal effect assessed by array CGH. Reproductive BioMedicine Online. 36. e20–e21. 1 indexed citations
10.
Esbert, Marga, et al.. (2017). Does the blastocyst collapse respond to a biological need? The analysis of 1,952 embryos by time-lapse can give an answer. Fertility and Sterility. 108(3). e157–e157. 2 indexed citations
11.
Esbert, Marga, et al.. (2017). Spermatozoa with numerical chromosomal abnormalities are more prone to be retained by Annexin V‐MACS columns. Andrology. 5(4). 807–813. 17 indexed citations
12.
Basile, Natalia, M. Florensa, B. Aparicio Ruiz, et al.. (2014). The use of morphokinetics as a predictor of  implantation: a multicentric study to define and validate an algorithm for embryo selection. Human Reproduction. 30(2). 276–283. 162 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.
Florensa, M., et al.. (2014). Frequency and impact on embryo development of reverse cleavage in human embryos. Reproductive BioMedicine Online. 28. S14–S14. 2 indexed citations
15.
Esbert, Marga, et al.. (2013). Effect of oocyte denudation timing on clinical outcomes in 1212 oocyte recipients. Fertility and Sterility. 100(3). S482–S482. 2 indexed citations
16.
Esbert, Marga, Alberto Pacheco, Francesca Vidal, et al.. (2011). Impact of sperm DNA fragmentation on the outcome of IVF with own or donated oocytes. Reproductive BioMedicine Online. 23(6). 704–710. 67 indexed citations
17.
Esbert, Marga, et al.. (2009). Can the oocyte repair male age effects? Analysis of 2454 IVF cycle outcomes. Fertility and Sterility. 92(3). S146–S146. 1 indexed citations
18.
Castillón, Gemma, et al.. (2009). Which is the best moment to start hormonal replacemente therapy in recipient in a synchronised oocyte donation programme?. Fertility and Sterility. 92(3). S135–S136. 2 indexed citations
19.
Florensa, M., et al.. (2007). Does sperm morphology affect the outcome of ICSI (intracytoplasmic sperm injection) cycles?. Fertility and Sterility. 88. S160–S160. 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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