Eva Tornero

739 citations
15 papers · 254 · h-index 8

Impact in

    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities
    • Cancer Genomics and Diagnostics

Papers in

    • BRCA gene mutations in cancer 9
    • Genomics and Rare Diseases 6
    • Genomic variations and chromosomal abnormalities 3
    • CRISPR and Genetic Engineering 5
    • RNA and protein synthesis mechanisms 2

Eva Tornero

15 papers receiving 251 citations

Peers

Eva Tornero
Comparison fields: 5 of 34
  • Genetics 177
  • Cancer Research 93
  • Pathology and Forensic Medicine 56
  • Molecular Biology 142
  • Oncology 39
Replace Finn C. Nielsen with:
Finn C. Nielsen Denmark
Arvīds Irmejs Latvia
Wera Hofmann Germany
Małgorzata Czetwertyńska Poland
Ingrid Petroni Ewald Brazil
Susan L. Slager United States
Ester Castellsagué Spain
Mathilde Warcoin France
Valentina Zampiga Italy
Olga Campos Spain
Eva Tornero relative to Finn C. Nielsen Denmark Finn C. Nielsen's profile →
Citations per field
00.5×3.8×
Finn C. Nielsen · 1×
Citations per year

Countries citing papers authored by Eva Tornero

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eva Tornero Line = papers co-authored together Eva Tornero links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 201282
2 201739
3 201731
4 200928
5 201316
6 201113
7 201811
8 201610
9 20207
10 20166
11 20234
12 20112
13 20132
14 20232
15 20251

About Eva Tornero

Eva Tornero is a scholar working on Genetics, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Plant Science, having authored 15 papers that have together received 254 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (9 papers), Cancer Genomics and Diagnostics (6 papers), Genomics and Rare Diseases (6 papers), Genetic factors in colorectal cancer (5 papers), CRISPR and Genetic Engineering (5 papers), Genomic variations and chromosomal abnormalities (3 papers), Chromosomal and Genetic Variations (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Genetics (177 citations), Cancer Research (93 citations), Pathology and Forensic Medicine (56 citations), Molecular Biology (142 citations) and Oncology (39 citations). Eva Tornero has collaborated with scholars based in Spain, Norway and Palestinian Territory. Frequent co-authors include Joan Brunet, Conxi Lázaro, Lídia Feliubadaló, Jesús Del Valle, Gabriel Capellá, Mireia Menéndez, Ignacio Blanco, Marta Pineda, Eduard Serra and Sara González. Their work appears in journals such as Breast Cancer Research and Treatment, Scientific Reports, Human Mutation, Journal of Clinical Oncology and European Journal of Human Genetics.

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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