Verónica Corrales‐Sánchez
Impact in
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- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
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- Cancer-related Molecular Pathways
Papers in
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- Protein Degradation and Inhibitors 9
- Histone Deacetylase Inhibitors Research 5
- DNA Repair Mechanisms 4
- Ubiquitin and proteasome pathways 4
- Oncology 10
- Cancer-related Molecular Pathways 7
- Cancer Treatment and Pharmacology 2
- Co-authors
- Alberto Ocaña (25 shared papers)Atanasio Pandiella (23 shared papers)Eitan Amir (8 shared papers)Javier Pérez‐Peña (11 shared papers)Arnoud J. Templeton (5 shared papers)Boštjan Šeruga (5 shared papers)Francisco Vera-Badillo (3 shared papers)Juan Carlos Montero (13 shared papers)
In The Last Decade
Verónica Corrales‐Sánchez
24 papers receiving 504 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 123
- Oncology 129
- Molecular Biology 316
- Pathology and Forensic Medicine 60
- Hematology 34
Countries citing papers authored by Verónica Corrales‐Sánchez
This map shows the geographic impact of Verónica Corrales‐Sánchez'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 Corrales‐Sánchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Verónica Corrales‐Sánchez more than expected).
Fields of papers citing papers by Verónica Corrales‐Sánchez
This network shows the impact of papers produced by Verónica Corrales‐Sánchez. 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 Corrales‐Sánchez. The network helps show where Verónica Corrales‐Sánchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Verónica Corrales‐Sánchez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 147 | |
| 2 | 2017 | 55 | |
| 3 | 2017 | 45 | |
| 4 | 2015 | 32 | |
| 5 | 2016 | 24 | |
| 6 | 2017 | 23 | |
| 7 | 2015 | 23 | |
| 8 | 2016 | 21 | |
| 9 | 2015 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2016 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 1 | |
| 20 | 2016 | 1 |
About Verónica Corrales‐Sánchez
Verónica Corrales‐Sánchez is a scholar working on Molecular Biology, Oncology, Cell Biology, Cancer Research and Hematology, having authored 25 papers that have together received 505 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Cancer-related Molecular Pathways (7 papers), Microtubule and mitosis dynamics (6 papers), Histone Deacetylase Inhibitors Research (5 papers), DNA Repair Mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers), Multiple Myeloma Research and Treatments (2 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Cancer Research (123 citations), Oncology (129 citations), Molecular Biology (316 citations), Pathology and Forensic Medicine (60 citations) and Hematology (34 citations). Verónica Corrales‐Sánchez has collaborated with scholars based in Spain, Canada and Slovenia. Frequent co-authors include Alberto Ocaña, Atanasio Pandiella, Eitan Amir, Javier Pérez‐Peña, Arnoud J. Templeton, Boštjan Šeruga, Francisco Vera-Badillo, Juan Carlos Montero, Cristina Nieto‐Jiménez and Mustafa Al-Mubarak. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Cancer Research, Molecular Cancer Therapeutics and Cancer Letters.
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.