Eva Tornero
Impact in
- Genetics top 10%
- BRCA gene mutations in cancer
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
-
- Cancer Genomics and Diagnostics
Papers in
- Genetics 11
- BRCA gene mutations in cancer 9
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 2
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- L Feliubadaló (14 shared papers)C Lázaro (13 shared papers)Joan Brunet (12 shared papers)Jesús Del Valle (12 shared papers)Gabriel Capellá (13 shared papers)Ignacio Blanco (6 shared papers)Mireia Menéndez (10 shared papers)Marta Pineda (8 shared papers)
- Journals
- Breast Cancer Research and Treatment (4 papers)Scientific Reports (2 papers)Journal of Molecular Diagnostics (1 paper)Genome Medicine (1 paper)PLoS ONE (1 paper)
- Partner nations
- SpainNorwayUnited States
In The Last Decade
Eva Tornero
14 papers receiving 267 citations
Peers
Comparison fields: 5 of 36
- Genetics 169
- Cancer Research 77
- Pathology and Forensic Medicine 52
- Molecular Biology 108
- Oncology 30
Countries citing papers authored by Eva Tornero
This map shows the geographic impact of Eva Tornero'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 Tornero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Tornero more than expected).
Fields of papers citing papers by Eva Tornero
This network shows the impact of papers produced by Eva Tornero. 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 Tornero. The network helps show where Eva Tornero may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Tornero, 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 | 2012 | 85 | |
| 2 | 2017 | 41 | |
| 3 | 2017 | 34 | |
| 4 | 2009 | 31 | |
| 5 | 2013 | 16 | |
| 6 | 2018 | 15 | |
| 7 | 2011 | 13 | |
| 8 | 2016 | 11 | |
| 9 | 2020 | 8 | |
| 10 | 2016 | 6 | |
| 11 | 2023 | 6 | |
| 12 | 2011 | 3 | |
| 13 | 2013 | 2 | |
| 14 | 2025 | 2 |
About Eva Tornero
Eva Tornero is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Molecular Biology and Plant Science, having authored 14 papers that have together received 273 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), CRISPR and Genetic Engineering (5 papers), Genomics and Rare Diseases (5 papers), Cancer Genomics and Diagnostics (3 papers), Genetic factors in colorectal cancer (3 papers), Genomic variations and chromosomal abnormalities (2 papers), DNA Repair Mechanisms (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Genetics (169 citations), Cancer Research (77 citations), Pathology and Forensic Medicine (52 citations), Molecular Biology (108 citations) and Oncology (30 citations). Eva Tornero has collaborated with scholars based in Spain, Norway and United States. Frequent co-authors include L Feliubadaló, C Lázaro, Joan Brunet, Jesús Del Valle, Gabriel Capellá, Ignacio Blanco, Mireia Menéndez, Marta Pineda, Eduard Serra and Sara González. Their work appears in journals such as Breast Cancer Research and Treatment, Scientific Reports, Journal of Molecular Diagnostics, Genome Medicine and PLoS ONE.
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.