Verónica Torrano
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
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- Genomics and Chromatin Dynamics
- Extracellular vesicles in disease
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 2
-
- Prostate Cancer Treatment and Research 4
- Co-authors
- Arkaitz Carracedo (11 shared papers)M. Dolores Delgado (6 shared papers)Javier León (3 shared papers)Miguel Unda (3 shared papers)Ana Loizaga‐Iriarte (3 shared papers)Elena Klenova (3 shared papers)Félix Royo (2 shared papers)France Docquier (3 shared papers)
- Journals
- Cancers (2 papers)Cancer Research (2 papers)Cell Metabolism (1 paper)Clinical Cancer Research (1 paper)Blood (1 paper)
- Partner nations
- SpainUnited KingdomGermany
In The Last Decade
Verónica Torrano
20 papers receiving 766 citations
Peers
Comparison fields: 5 of 74
- Cancer Research 233
- Molecular Biology 645
- Hematology 48
- Oncology 117
- Genetics 83
Countries citing papers authored by Verónica Torrano
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 125 | |
| 2 | 2010 | 75 | |
| 3 | 2006 | 71 | |
| 4 | 2018 | 63 | |
| 5 | 2017 | 62 | |
| 6 | 2005 | 56 | |
| 7 | 2016 | 54 | |
| 8 | 2019 | 49 | |
| 9 | 2008 | 45 | |
| 10 | 2011 | 41 | |
| 11 | 2006 | 39 | |
| 12 | 2018 | 23 | |
| 13 | 2020 | 17 | |
| 14 | 2018 | 15 | |
| 15 | 2013 | 15 | |
| 16 | 2019 | 9 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2023 | 3 | |
| 20 | Project Ukko: seasonal wind speed predictions at a glance | 2016 | 1 |
About Verónica Torrano
Verónica Torrano is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Hematology, having authored 20 papers that have together received 772 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Prostate Cancer Treatment and Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA Research and Splicing (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (233 citations), Molecular Biology (645 citations), Hematology (48 citations), Oncology (117 citations) and Genetics (83 citations). Verónica Torrano has collaborated with scholars based in Spain, United Kingdom and Germany. Frequent co-authors include Arkaitz Carracedo, M. Dolores Delgado, Javier León, Miguel Unda, Ana Loizaga‐Iriarte, Elena Klenova, Félix Royo, France Docquier, Ana R. Cortázar and Lorea Valcárcel-Jiménez. Their work appears in journals such as Cancers, Cancer Research, Cell Metabolism, Clinical Cancer Research and Blood.
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.