Aymara Mas

1.8k total citations
34 papers, 1.2k citations indexed

About

Aymara Mas is a scholar working on Obstetrics and Gynecology, Reproductive Medicine and Immunology. According to data from OpenAlex, Aymara Mas has authored 34 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Obstetrics and Gynecology, 26 papers in Reproductive Medicine and 12 papers in Immunology. Recurrent topics in Aymara Mas's work include Uterine Myomas and Treatments (26 papers), Endometriosis Research and Treatment (21 papers) and Reproductive System and Pregnancy (12 papers). Aymara Mas is often cited by papers focused on Uterine Myomas and Treatments (26 papers), Endometriosis Research and Treatment (21 papers) and Reproductive System and Pregnancy (12 papers). Aymara Mas collaborates with scholars based in Spain, United States and Czechia. Aymara Mas's co-authors include Carlos Simón, Irene Cervelló, Ayman Al‐Hendy, Claudia Gil-Sanchís, Amparo Faus, Qiwei Yang, Michael P. Diamond, António Pellicer, Jaime Ferro and Philippa T. K. Saunders and has published in prestigious journals such as Nature Communications, Physiological Reviews and PLoS ONE.

In The Last Decade

Aymara Mas

34 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
Aymara Mas Spain 18 892 809 351 229 132 34 1.2k
Louie Ye Australia 13 468 0.5× 267 0.3× 366 1.0× 159 0.7× 80 0.6× 17 762
Shanti Gurung Australia 15 255 0.3× 227 0.3× 491 1.4× 379 1.7× 222 1.7× 26 995
An‐Pei Kao Taiwan 12 148 0.2× 162 0.2× 135 0.4× 137 0.6× 83 0.6× 22 560
Pamela Mamers Australia 17 153 0.2× 572 0.7× 61 0.2× 459 2.0× 102 0.8× 22 912
Ilze Štrumfa Latvia 13 87 0.1× 135 0.2× 118 0.3× 171 0.7× 79 0.6× 55 580
J.A. Irving Canada 3 319 0.4× 61 0.1× 267 0.8× 169 0.7× 22 0.2× 6 555
Woo Young Kim South Korea 15 116 0.1× 127 0.2× 58 0.2× 392 1.7× 245 1.9× 37 842
Priya Mittal India 8 117 0.1× 105 0.1× 57 0.2× 412 1.8× 39 0.3× 32 657
Hans‐Peter Hohn Germany 10 84 0.1× 58 0.1× 141 0.4× 165 0.7× 48 0.4× 11 381

Countries citing papers authored by Aymara Mas

Since Specialization
Citations

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

Fields of papers citing papers by Aymara Mas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aymara Mas

This figure shows the co-authorship network connecting the top 25 collaborators of Aymara Mas. A scholar is included among the top collaborators of Aymara Mas 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 Aymara Mas. Aymara Mas 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.
Simón, Carlos, et al.. (2025). Mapping Human Uterine Disorders Through Single-Cell Transcriptomics. Cells. 14(3). 156–156. 6 indexed citations
2.
Laganà, Antonio Simone, Andrea Romano, Arne Vanhie, et al.. (2024). Management of Uterine Fibroids and Sarcomas: The Palermo Position Paper. Gynecologic and Obstetric Investigation. 89(2). 73–86. 5 indexed citations
3.
Badenes, Rafael, et al.. (2024). Effect of aging on the human myometrium at single-cell resolution. Nature Communications. 15(1). 945–945. 11 indexed citations
4.
Yang, Qiwei, Mohamed Ali, Lindsey S. Treviño, et al.. (2023). Epigenetic Modulation of Inflammatory Pathways in Myometrial Stem Cells and Risk of Uterine Fibroids. International Journal of Molecular Sciences. 24(14). 11641–11641. 10 indexed citations
5.
Dundr, Pavel, Aymara Mas, Michal Mára, et al.. (2023). Uterine leiomyoma with RAD51B::NUDT3 fusion: a report of 2 cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 484(6). 1015–1022. 7 indexed citations
6.
Yang, Qiwei, Mohamed Ali, Lindsey S. Treviño, Aymara Mas, & Ayman Al‐Hendy. (2023). Developmental reprogramming of myometrial stem cells by endocrine disruptor linking to risk of uterine fibroids. Cellular and Molecular Life Sciences. 80(9). 274–274. 5 indexed citations
7.
Mas, Aymara, Roberto Alonso, Tamara Garrido‐Gómez, et al.. (2019). The differential diagnoses of uterine leiomyomas and leiomyosarcomas using DNA and RNA sequencing. American Journal of Obstetrics and Gynecology. 221(4). 320.e1–320.e23. 17 indexed citations
8.
Mas, Aymara, et al.. (2018). Expanding upon the Human Myometrial Stem Cell Hypothesis and the Role of Race, Hormones, Age, and Parity in a Profibroid Environment. American Journal Of Pathology. 188(10). 2293–2306. 11 indexed citations
9.
Brakta, Soumia, Aymara Mas, & Ayman Al‐Hendy. (2018). The ontogeny of myometrial stem cells in OCT4-GFP transgenic mouse model. Stem Cell Research & Therapy. 9(1). 333–333. 5 indexed citations
10.
Mas, Aymara, et al.. (2017). Updated approaches for management of uterine fibroids. International Journal of Women s Health. Volume 9. 607–617. 56 indexed citations
11.
Mas, Aymara, Qiwei Yang, Patricia Díaz-Gimeno, et al.. (2016). Role of Stro1+/CD44+ stem cells in myometrial physiology and uterine remodeling during pregnancy†. Biology of Reproduction. 96(1). 70–80. 10 indexed citations
12.
Borahay, Mostafa A., Mehmet Reşit Asoğlu, Aymara Mas, et al.. (2016). Estrogen Receptors and Signaling in Fibroids: Role in Pathobiology and Therapeutic Implications. Reproductive Sciences. 24(9). 1235–1244. 107 indexed citations
13.
Mas, Aymara, Sangeeta Nair, Archana Laknaur, et al.. (2015). Stro-1/CD44 as putative human myometrial and fibroid stem cell markers. Fertility and Sterility. 104(1). 225–234.e3. 53 indexed citations
14.
Yang, Qiwei, Aymara Mas, Michael P. Diamond, & Ayman Al‐Hendy. (2015). The Mechanism and Function of Epigenetics in Uterine Leiomyoma Development. Reproductive Sciences. 23(2). 163–175. 105 indexed citations
15.
Mas, Aymara, Irene Cervelló, Ana Julia Fernández-Álvarez, et al.. (2014). Overexpression of the truncated form of High Mobility Group A proteins (HMGA2) in human myometrial cells induces leiomyoma-like tissue formation. Molecular Human Reproduction. 21(4). 330–338. 37 indexed citations
16.
Mas, Aymara, Irene Cervelló, Claudia Gil-Sanchís, & Carlos Simón. (2014). Current understanding of somatic stem cells in leiomyoma formation. Fertility and Sterility. 102(3). 613–620. 26 indexed citations
17.
Gil-Sanchís, Claudia, Irene Cervelló, Aymara Mas, et al.. (2013). Leucine-rich repeat-containing G-protein-coupled receptor 5 (Lgr5) as a putative human endometrial stem cell marker†. Molecular Human Reproduction. 19(7). 407–414. 33 indexed citations
18.
Mas, Aymara, Irene Cervelló, Claudia Gil-Sanchís, et al.. (2012). Identification and characterization of the human leiomyoma side population as putative tumor-initiating cells. Fertility and Sterility. 98(3). 741–751.e6. 86 indexed citations
19.
Cervelló, Irene, Claudia Gil-Sanchís, Aymara Mas, et al.. (2012). Bone Marrow-Derived Cells from Male Donors Do Not Contribute to the Endometrial Side Population of the Recipient. PLoS ONE. 7(1). e30260–e30260. 72 indexed citations
20.
Cervelló, Irene, Aymara Mas, Claudia Gil-Sanchís, et al.. (2011). Reconstruction of Endometrium from Human Endometrial Side Population Cell Lines. PLoS ONE. 6(6). e21221–e21221. 145 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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