Álvaro Mateos

916 total citations
13 papers, 680 citations indexed

About

Álvaro Mateos is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Álvaro Mateos has authored 13 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Álvaro Mateos's work include Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (2 papers). Álvaro Mateos is often cited by papers focused on Gene expression and cancer classification (6 papers), Bioinformatics and Genomic Networks (5 papers) and Machine Learning in Bioinformatics (2 papers). Álvaro Mateos collaborates with scholars based in Spain, Germany and United Kingdom. Álvaro Mateos's co-authors include Joaquı́n Dopazo, Ana Martín-Villalba, Tansu Celikel, Kristina Ellwanger, Désirée R. Seib, Christian Plaas, Nina S. Corsini, Claudia Pitzer, Christof Niehrs and Javier Herrero and has published in prestigious journals such as Nucleic Acids Research, Nature Cell Biology and Genome Research.

In The Last Decade

Álvaro Mateos

13 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Álvaro Mateos Spain 10 463 122 98 91 78 13 680
Patricia Burfeind United States 10 390 0.8× 180 1.5× 77 0.8× 299 3.3× 52 0.7× 12 751
W. David Culp United States 7 510 1.1× 86 0.7× 102 1.0× 201 2.2× 75 1.0× 10 832
Alan S.L. Wong Hong Kong 14 654 1.4× 50 0.4× 59 0.6× 143 1.6× 117 1.5× 31 930
Kai Yao China 15 666 1.4× 59 0.5× 99 1.0× 135 1.5× 102 1.3× 61 967
Yu Chuan Tai United States 9 512 1.1× 131 1.1× 56 0.6× 81 0.9× 81 1.0× 13 739
Aviv Regev United States 11 630 1.4× 77 0.6× 59 0.6× 180 2.0× 33 0.4× 25 870
Syu‐ichi Hirai Japan 10 408 0.9× 109 0.9× 179 1.8× 145 1.6× 36 0.5× 11 587
Talia Levy Israel 11 346 0.7× 168 1.4× 229 2.3× 189 2.1× 85 1.1× 13 650
Sohyon Lee Switzerland 7 374 0.8× 48 0.4× 71 0.7× 143 1.6× 47 0.6× 8 545
Erik McShane United States 18 675 1.5× 42 0.3× 142 1.4× 93 1.0× 60 0.8× 34 952

Countries citing papers authored by Álvaro Mateos

Since Specialization
Citations

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

Fields of papers citing papers by Álvaro Mateos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Álvaro Mateos

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

All Works

13 of 13 papers shown
1.
Kleber, Susanne, Álvaro Mateos, Branko Cirovic, et al.. (2016). CD95 maintains stem cell-like and non-classical EMT programs in primary human glioblastoma cells. Cell Death and Disease. 7(4). e2209–e2209. 43 indexed citations
2.
Teodorczyk, Marcin, Susanne Kleber, Damian Wollny, et al.. (2015). CD95 promotes metastatic spread via Sck in pancreatic ductal adenocarcinoma. Cell Death and Differentiation. 22(7). 1192–1202. 43 indexed citations
3.
Seib, Désirée R., Nina S. Corsini, Kristina Ellwanger, et al.. (2013). Loss of Dickkopf-1 Restores Neurogenesis in Old Age and Counteracts Cognitive Decline. Cell stem cell. 12(2). 204–214. 239 indexed citations
4.
Simpson, Jeremy C., Brigitte Joggerst, Vibor Laketa, et al.. (2012). Genome-wide RNAi screening identifies human proteins with a regulatory function in the early secretory pathway. Nature Cell Biology. 14(7). 764–774. 143 indexed citations
5.
Simpson, Jeremy C., Álvaro Mateos, & Rainer Pepperkok. (2007). Maturation of the mammalian secretome. Genome Biology. 8(4). 211–211. 15 indexed citations
6.
Herrero, Javier, Juan M. Vaquerizas, Fátima Al‐Shahrour, et al.. (2004). New challenges in gene expression data analysis and the extended GEPAS. Nucleic Acids Research. 32(Web Server). W485–W491. 46 indexed citations
8.
Martin, María, Javier Herrero, Álvaro Mateos, & Joaquı́n Dopazo. (2003). Comparing Bacterial Genomes Through Conservation Profiles. Genome Research. 13(5). 991–998. 17 indexed citations
9.
Al‐Shahrour, Fátima, Javier Herrero, Álvaro Mateos, et al.. (2003). Using Gene Ontology on genome-scale studies to find significant associations of biologically relevant terms to group of genes. 2 indexed citations
10.
Mateos, Álvaro, et al.. (2003). Using a Genetic Algorithm and a Perceptron for Feature Selection and Supervised Class Learning in DNA Microarray Data. Artificial Intelligence Review. 20(1-2). 39–51. 24 indexed citations
11.
Conde, Lucía, Álvaro Mateos, Javier Herrero, & Joaquı́n Dopazo. (2003). Improved Class Prediction in DNA Microarray Gene Expression Data by Unsupervised Reduction of the Dimensionality followed by Supervised Learning with a Perceptron. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 35(3). 245–253. 9 indexed citations
13.
Mateos, Álvaro, Joaquı́n Dopazo, Ronald Jansen, et al.. (2002). Systematic Learning of Gene Functional Classes From DNA Array Expression Data by Using Multilayer Perceptrons. Genome Research. 12(11). 1703–1715. 94 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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