Eva Alloza

852 total citations
9 papers, 681 citations indexed

About

Eva Alloza is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Eva Alloza has authored 9 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 1 paper in Genetics. Recurrent topics in Eva Alloza's work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Cancer Genomics and Diagnostics (2 papers). Eva Alloza is often cited by papers focused on Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers) and Cancer Genomics and Diagnostics (2 papers). Eva Alloza collaborates with scholars based in Spain, Greece and United Kingdom. Eva Alloza's co-authors include Joaquı́n Dopazo, Fátima Al‐Shahrour, David Montaner, Joaquín Tárraga, Pablo Mínguez, Ignacio Medina, Lucía Conde, Juan M. Vaquerizas, Julio Vera and Christian Blaschke and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Genome Medicine.

In The Last Decade

Eva Alloza

8 papers receiving 674 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Alloza Spain	6	510	104	78	70	49	9	681
Oana Ursu United States	9	604 1.2×	142 1.4×	66 0.8×	85 1.2×	46 0.9×	13	696
Hiroko Hata Japan	10	653 1.3×	110 1.1×	70 0.9×	73 1.0×	57 1.2×	11	875
A. Pascual-Montano Spain	8	357 0.7×	71 0.7×	92 1.2×	51 0.7×	48 1.0×	12	539
Hans Ienasescu Denmark	3	692 1.4×	150 1.4×	119 1.5×	115 1.6×	71 1.4×	4	834
Angela N. Pogson United States	8	829 1.6×	129 1.2×	63 0.8×	48 0.7×	50 1.0×	9	927
Naohiro Hori Japan	13	634 1.2×	171 1.6×	70 0.9×	68 1.0×	56 1.1×	29	836
Manli Shen United States	9	725 1.4×	93 0.9×	173 2.2×	57 0.8×	45 0.9×	13	850
Fuhong He China	14	571 1.1×	88 0.8×	82 1.1×	45 0.6×	48 1.0×	24	734
Andrew Tae-Jun Kwon Canada	8	784 1.5×	117 1.1×	146 1.9×	69 1.0×	91 1.9×	13	978

Countries citing papers authored by Eva Alloza

Since Specialization

Citations

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

Fields of papers citing papers by Eva Alloza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Alloza

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

All Works

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9 of 9 papers shown

Capella-Gutiérrez, Salvador, Eva Alloza, Laura Rubinat-Ripoll, Ana Conesa, & Alfonso Valencia. (2022). ECCB2022: the 21st European Conference on Computational Biology. Bioinformatics. 38(Supplement_2). ii1–ii4.

Capella-Gutiérrez, Salvador, Eva Alloza, Edurne Gallastegui, et al.. (2020). ECCB2020: the 19th European Conference on Computational Biology. Bioinformatics. 36(Supplement_2). i569–i572. 1 indexed citations

Carbonell‐Caballero, José, Eva Alloza, Salud Borrego, et al.. (2012). A map of human microRNA variation uncovers unexpectedly high levels of variability. Genome Medicine. 4(8). 62–62. 23 indexed citations

Alloza, Eva, Fátima Al‐Shahrour, Juan C. Cigudosa, & Joaquı́n Dopazo. (2011). A large scale survey reveals that chromosomal copy-number alterations significantly affect gene modules involved in cancer initiation and progression. BMC Medical Genomics. 4(1). 37–37. 5 indexed citations

Al‐Shahrour, Fátima, José Carbonell‐Caballero, Pablo Mínguez, et al.. (2008). Babelomics: advanced functional profiling of transcriptomics, proteomics and genomics experiments. Nucleic Acids Research. 36(Web Server). W341–W346. 67 indexed citations

Tárraga, Joaquín, Ignacio Medina, José Carbonell‐Caballero, et al.. (2008). GEPAS, a web-based tool for microarray data analysis and interpretation. Nucleic Acids Research. 36(Web Server). W308–W314. 54 indexed citations

Al‐Shahrour, Fátima, Pablo Mínguez, Joaquín Tárraga, et al.. (2007). FatiGO +: a functional profiling tool for genomic data. Integration of functional annotation, regulatory motifs and interaction data with microarray experiments. Nucleic Acids Research. 35(suppl_2). W91–W96. 216 indexed citations

Al‐Shahrour, Fátima, Pablo Mínguez, Joaquín Tárraga, et al.. (2006). BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experiments. Nucleic Acids Research. 34(Web Server). W472–W476. 219 indexed citations

Montaner, David, Joaquín Tárraga, Jaime Huerta‐Cepas, et al.. (2006). Next station in microarray data analysis: GEPAS. Nucleic Acids Research. 34(Web Server). W486–W491. 96 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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