Verónica Calvo
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer Genomics and Diagnostics
- Oncology top 10%
- Cancer Cells and Metastasis
Papers in
-
- DNA Repair Mechanisms 2
- Ubiquitin and proteasome pathways 2
- Angiogenesis and VEGF in Cancer 1
- Oncology 4
- Cancer Cells and Metastasis 2
- Co-authors
- Julio A. Aguirre‐Ghiso (4 shared papers)Miguel Beato (1 shared paper)Alvaro Avivar‐Valderas (2 shared papers)Ana Rita Nobre (2 shared papers)Julie F. Cheung (2 shared papers)Michael R. Padgen (1 shared paper)Patricia J. Keely (1 shared paper)Vladislav V. Verkhusha (1 shared paper)
- Journals
- Clinical Cancer Research (2 papers)Cancer Research (2 papers)Molecular and Cellular Biology (1 paper)Pharmaceutics (1 paper)Breast Cancer Research and Treatment (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Verónica Calvo
14 papers receiving 525 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 156
- Oncology 204
- Cell Biology 97
- Molecular Biology 239
- Biotechnology 30
Countries citing papers authored by Verónica Calvo
This map shows the geographic impact of Verónica Calvo'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 Calvo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Calvo more than expected).
Fields of papers citing papers by Verónica Calvo
This network shows the impact of papers produced by Verónica Calvo. 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 Calvo. The network helps show where Verónica Calvo may publish in the future.
Co-authors
The 25 scholars most cited alongside Verónica Calvo, 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 | 2017 | 249 | |
| 2 | 2011 | 49 | |
| 3 | 2005 | 48 | |
| 4 | 2011 | 43 | |
| 5 | 2015 | 32 | |
| 6 | 2023 | 30 | |
| 7 | 2013 | 30 | |
| 8 | 2015 | 21 | |
| 9 | 2023 | 19 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 2 | |
| 12 | 2011 | 1 | |
| 13 | 2013 | 1 | |
| 14 | 2013 | 1 |
About Verónica Calvo
Verónica Calvo is a scholar working on Molecular Biology, Oncology, Cell Biology, Genetics and Immunology and Allergy, having authored 14 papers that have together received 531 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), DNA Repair Mechanisms (2 papers), Ubiquitin and proteasome pathways (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer Cells and Metastasis (2 papers), Muscle metabolism and nutrition (1 paper), Angiogenesis and VEGF in Cancer (1 paper) and Digestive system and related health (1 paper). The work is most often cited by research in Cancer Research (156 citations), Oncology (204 citations), Cell Biology (97 citations), Molecular Biology (239 citations) and Biotechnology (30 citations). Verónica Calvo has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Julio A. Aguirre‐Ghiso, Miguel Beato, Alvaro Avivar‐Valderas, Ana Rita Nobre, Julie F. Cheung, Michael R. Padgen, Patricia J. Keely, Vladislav V. Verkhusha, Yarong Wang and David Entenberg. Their work appears in journals such as Clinical Cancer Research, Cancer Research, Molecular and Cellular Biology, Pharmaceutics and Breast Cancer Research and Treatment.
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.