Eva Alloza
Impact in
-
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Biomedical Text Mining and Ontologies
-
- MicroRNA in disease regulation
Papers in
-
- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Microbial Metabolic Engineering and Bioproduction 2
- Molecular Biology Techniques and Applications 2
- Genetics, Bioinformatics, and Biomedical Research 2
- Genomics and Phylogenetic Studies 1
- Genomics and Chromatin Dynamics 1
- Co-authors
- Joaquı́n Dopazo (7 shared papers)Fátima Al‐Shahrour (6 shared papers)Joaquín Tárraga (5 shared papers)Pablo Mínguez (5 shared papers)David Montaner (5 shared papers)Ignacio Medina (4 shared papers)Julio Vera (2 shared papers)Lucía Conde (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Bioinformatics (2 papers)Genome Medicine (1 paper)BMC Medical Genomics (1 paper)Faculty of 1000 Research Ltd (1 paper)
- Partner nations
- SpainUnited KingdomGreece
In The Last Decade
Eva Alloza
8 papers receiving 704 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 464
- Cancer Research 63
- Aging 7
- Genetics 91
- Immunology 43
Countries citing papers authored by Eva Alloza
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
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-authors
The 25 scholars most cited alongside Eva Alloza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 230 | |
| 2 | 2007 | 229 | |
| 3 | 2006 | 100 | |
| 4 | 2008 | 67 | |
| 5 | 2008 | 59 | |
| 6 | 2012 | 23 | |
| 7 | 2011 | 5 | |
| 8 | 2020 | 1 | |
| 9 | 2022 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 0 |
About Eva Alloza
Eva Alloza is a scholar working on Molecular Biology, Cancer Research, Genetics, Aerospace Engineering and Global and Planetary Change, having authored 11 papers that have together received 714 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Biology Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Genomics and Phylogenetic Studies (1 paper), Calibration and Measurement Techniques (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (464 citations), Cancer Research (63 citations), Aging (7 citations), Genetics (91 citations) and Immunology (43 citations). Eva Alloza has collaborated with scholars based in Spain, United Kingdom and Greece. Frequent co-authors include Joaquı́n Dopazo, Fátima Al‐Shahrour, Joaquín Tárraga, Pablo Mínguez, David Montaner, Ignacio Medina, Julio Vera, Lucía Conde, Juan M. Vaquerizas and Christian Blaschke. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome Medicine, BMC Medical Genomics and Faculty of 1000 Research Ltd.
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.