Verónica Torrano

1.9k citations
35 papers · 1.6k · h-index 21

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism
    • Extracellular vesicles in disease
    • Genomics and Chromatin Dynamics
    • Polyamine Metabolism and Applications
    • Epigenetics and DNA Methylation

Papers in

Verónica Torrano

33 papers receiving 1.6k citations

Peers

Verónica Torrano
Comparison fields: 5 of 73
  • Cancer Research 326
  • Molecular Biology 888
  • Hepatology 79
  • Pulmonary and Respiratory Medicine 226
  • Oncology 135
Replace Shuangbing Xu with:
Shuangbing Xu China
Chi-Chao Chen United States
Naomi Nakayama Japan
Romi Gupta United States
Ho Lam Chan United States
Katsumi Koshikawa Japan
Mathewos Tessema United States
Sara Mainardi Netherlands
David S.M. Lee United States
Spencer R. Rosario United States
Verónica Torrano relative to Shuangbing Xu China Shuangbing Xu's profile →
Citations per field
00.5×2×3×3.7×
Shuangbing Xu · 1×
Citations per year

Countries citing papers authored by Verónica Torrano

Since Specialization
Citations

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

Fields of papers citing papers by Verónica Torrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Verónica Torrano, 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 Verónica Torrano Line = papers co-authored together Verónica Torrano links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016177
2 2017173
3 2018140
4 201782
5 201881
6 201079
7 200674
8 201769
9 201661
10 200559
11 201959
12 201657
13 201649
14 200847
15 201145
16 200640
17 201934
18 202034
19 201828
20 202024

About Verónica Torrano

Verónica Torrano is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Hepatology, having authored 35 papers that have together received 1.6k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (10 papers), Genomics and Chromatin Dynamics (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Extracellular vesicles in disease (3 papers), Breast Cancer Treatment Studies (3 papers), Acute Myeloid Leukemia Research (2 papers), Cancer-related Molecular Pathways (2 papers) and Nuclear Structure and Function (2 papers). The work is most often cited by research in Cancer Research (326 citations), Molecular Biology (888 citations), Hepatology (79 citations), Pulmonary and Respiratory Medicine (226 citations) and Oncology (135 citations). Verónica Torrano has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Arkaitz Carracedo, M. Dolores Delgado, Ana R. Cortázar, Javier León, Natalia Martín-Martín, Miguel Unda, Lorea Valcárcel-Jiménez, Ana Loizaga Iriarte, Elena M. Klenova and Félix Royo. Their work appears in journals such as Cancer Research, Nature Communications, Oncotarget, Cell Death and Disease and Cancers.

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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