Eva Alloza
Impact in
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- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Genomics and Phylogenetic Studies
- Gene Regulatory Network Analysis
- RNA Research and Splicing
- Biomedical Text Mining and Ontologies
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 5
- Gene expression and cancer classification 4
- Genetics, Bioinformatics, and Biomedical Research 2
- Microbial Metabolic Engineering and Bioproduction 2
- Molecular Biology Techniques and Applications 2
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- Cancer Genomics and Diagnostics 2
- MicroRNA in disease regulation 1
- Co-authors
- Joaquı́n Dopazo (7 shared papers)Fátima Al‐Shahrour (6 shared papers)Joaquín Tárraga (5 shared papers)David Montaner (5 shared papers)Pablo Mínguez (5 shared papers)Ignacio Medina (4 shared papers)Lucía Conde (2 shared papers)Juan M. Vaquerizas (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Bioinformatics (2 papers)Genome Medicine (1 paper)BMC Medical Genomics (1 paper)
- Partner nations
- SpainUnited KingdomGreece
In The Last Decade
Eva Alloza
8 papers receiving 674 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 510
- Cancer Research 78
- Aging 8
- Genetics 104
- Reproductive Medicine 20
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 | 219 | |
| 2 | 2007 | 216 | |
| 3 | 2006 | 96 | |
| 4 | 2008 | 67 | |
| 5 | 2008 | 54 | |
| 6 | 2012 | 23 | |
| 7 | 2011 | 5 | |
| 8 | 2020 | 1 | |
| 9 | 2022 | 0 |
About Eva Alloza
Eva Alloza is a scholar working on Molecular Biology, Cancer Research, Genetics, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 681 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Gene expression and cancer classification (4 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers), Cancer Genomics and Diagnostics (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Rare Diseases (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Molecular Biology (510 citations), Cancer Research (78 citations), Aging (8 citations), Genetics (104 citations) and Reproductive Medicine (20 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, David Montaner, Pablo Mínguez, Ignacio Medina, Lucía Conde, Juan M. Vaquerizas, Julio Vera and Christian Blaschke. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Genome Medicine and BMC Medical Genomics.
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.