A. Mata

428 total citations
9 papers, 302 citations indexed

About

A. Mata is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Molecular Biology. According to data from OpenAlex, A. Mata has authored 9 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Reproductive Medicine, 6 papers in Public Health, Environmental and Occupational Health and 3 papers in Molecular Biology. Recurrent topics in A. Mata's work include Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers) and Reproductive Health and Technologies (3 papers). A. Mata is often cited by papers focused on Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (4 papers) and Reproductive Health and Technologies (3 papers). A. Mata collaborates with scholars based in Spain, Canada and Argentina. A. Mata's co-authors include Lluís Bassas, Sara Larriba, M. J. Barceló, Xavier Muñoz, Sandra Bonache, María Dolores Burguete Ramos, F. Tekpetey, Geoffrey L. Hammond, L. Bassas and John G. Lewis and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and Human Reproduction.

In The Last Decade

A. Mata

8 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Mata Spain 6 159 147 97 97 74 9 302
Jean Damascene Niringiyumukiza China 6 80 0.5× 179 1.2× 84 0.9× 111 1.1× 29 0.4× 8 335
Minzhi Gao China 11 160 1.0× 122 0.8× 94 1.0× 92 0.9× 31 0.4× 20 337
Mark Grossmann Spain 8 170 1.1× 214 1.5× 160 1.6× 79 0.8× 123 1.7× 14 397
Évelyne Lapointe Canada 8 103 0.6× 190 1.3× 169 1.7× 44 0.5× 82 1.1× 11 371
Nenghui Liu China 10 153 1.0× 106 0.7× 95 1.0× 68 0.7× 17 0.2× 32 315
Soumaya Mougou Tunisia 10 93 0.6× 87 0.6× 114 1.2× 35 0.4× 121 1.6× 18 304
Lluís Bassas Spain 6 182 1.1× 238 1.6× 123 1.3× 91 0.9× 117 1.6× 9 387
Nachuan Liu China 5 139 0.9× 115 0.8× 86 0.9× 21 0.2× 77 1.0× 13 224
Chris Small United States 6 101 0.6× 251 1.7× 76 0.8× 124 1.3× 78 1.1× 6 369
T.K. Yoon South Korea 10 217 1.4× 155 1.1× 257 2.6× 15 0.2× 71 1.0× 22 413

Countries citing papers authored by A. Mata

Since Specialization
Citations

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

Fields of papers citing papers by A. Mata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Mata

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

All Works

9 of 9 papers shown
1.
Mata, A., Thalita Fernandes de Abreu, Luís Eufrásio Farias Neto, et al.. (2025). O IMPACTO DA EQUIPE MULTIDISCIPLINAR E DA GESTÃO NA QUALIDADE DO CUIDADO AO PACIENTE. Aracê.. 7(8). e7360–e7360.
2.
Barceló, M. J., A. Mata, Lluís Bassas, & Sara Larriba. (2018). Exosomal microRNAs in seminal plasma are markers of the origin of azoospermia and can predict the presence of sperm in testicular tissue. Human Reproduction. 33(6). 1087–1098. 133 indexed citations
3.
Muñoz, Xavier, A. Mata, Lluís Bassas, & Sara Larriba. (2015). Altered miRNA Signature of Developing Germ-cells in Infertile Patients Relates to the Severity of Spermatogenic Failure and Persists in Spermatozoa. Scientific Reports. 5(1). 17991–17991. 82 indexed citations
4.
Mata, A., et al.. (2013). Deleterious impact of propofol on in vitro fertilization. a prospective randomized trial. Fertility and Sterility. 100(3). S11–S11. 3 indexed citations
5.
Bonache, Sandra, A. Mata, María Dolores Burguete Ramos, Lluís Bassas, & Sara Larriba. (2012). Sperm gene expression profile is related to pregnancy rate after insemination and is predictive of low fecundity in normozoospermic men. Human Reproduction. 27(6). 1556–1567. 39 indexed citations
6.
Avendaño, C., et al.. (2010). Laptop expositions affect motility and induce DNA fragmentation in human spermatozoa in vitro by a non-thermal effect: a preliminary report. Fertility and Sterility. 94(4). S73–S73. 4 indexed citations
7.
Mata, A., et al.. (2006). What is the seminal exposition among women requiring emergency contraception? A prospective, observational comparative study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 131(1). 57–60. 11 indexed citations
8.
Selva, David M., L. Bassas, Francina Munell, et al.. (2005). Human Sperm Sex Hormone-Binding Globulin Isoform: Characterization and Measurement by Time-Resolved Fluorescence Immunoassay. The Journal of Clinical Endocrinology & Metabolism. 90(11). 6275–6282. 17 indexed citations
9.
Mata, A., et al.. (1993). Sperm selection by PD-10 sephadex columns: comparison with SpermPrep filtration and Percoll centrifugation. Human Reproduction. 8(5). 732–736. 13 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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