Pedro Casado
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- PI3K/AKT/mTOR signaling in cancer
- Protein Degradation and Inhibitors
Papers in
-
- Protein Degradation and Inhibitors 6
- Protein Kinase Regulation and GTPase Signaling 5
- PI3K/AKT/mTOR signaling in cancer 5
- Bioinformatics and Genomic Networks 4
- Oncology 10
- Cancer-related Molecular Pathways 7
- Co-authors
- Pedro R. Cutillas (35 shared papers)Juan‐Carlos Rodríguez‐Prados (5 shared papers)Bart Vanhaesebroeck (3 shared papers)Simon Joel (2 shared papers)Sylvie M. Guichard (1 shared paper)Sabina Cosulich (1 shared paper)Vinothini Rajeeve (12 shared papers)Edmund H. Wilkes (8 shared papers)
- Journals
- Molecular & Cellular Proteomics (6 papers)Journal of Proteomics (2 papers)Nature Communications (2 papers)Leukemia (2 papers)PROTEOMICS (2 papers)
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Pedro Casado
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Spectroscopy 305
- Molecular Biology 786
- Cancer Research 140
- Hematology 104
- Oncology 169
Countries citing papers authored by Pedro Casado
This map shows the geographic impact of Pedro Casado'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 Pedro Casado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pedro Casado more than expected).
Fields of papers citing papers by Pedro Casado
This network shows the impact of papers produced by Pedro Casado. 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 Pedro Casado. The network helps show where Pedro Casado may publish in the future.
Co-authors
The 25 scholars most cited alongside Pedro Casado, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 259 | |
| 2 | 2011 | 91 | |
| 3 | 2021 | 87 | |
| 4 | 2015 | 69 | |
| 5 | 2012 | 58 | |
| 6 | 2013 | 55 | |
| 7 | 2020 | 50 | |
| 8 | 2018 | 49 | |
| 9 | 2010 | 45 | |
| 10 | 2006 | 36 | |
| 11 | 2018 | 36 | |
| 12 | 2019 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2014 | 31 | |
| 15 | 2016 | 26 | |
| 16 | 2016 | 25 | |
| 17 | 2013 | 23 | |
| 18 | 2022 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2023 | 14 |
About Pedro Casado
Pedro Casado is a scholar working on Molecular Biology, Oncology, Spectroscopy, Hematology and Cell Biology, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Cancer-related Molecular Pathways (7 papers), Protein Degradation and Inhibitors (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Acute Myeloid Leukemia Research (5 papers), Bioinformatics and Genomic Networks (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Spectroscopy (305 citations), Molecular Biology (786 citations), Cancer Research (140 citations), Hematology (104 citations) and Oncology (169 citations). Pedro Casado has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Pedro R. Cutillas, Juan‐Carlos Rodríguez‐Prados, Bart Vanhaesebroeck, Simon Joel, Sylvie M. Guichard, Sabina Cosulich, Vinothini Rajeeve, Edmund H. Wilkes, Julio Sáez-Rodríguez and Luisa Beltran. Their work appears in journals such as Molecular & Cellular Proteomics, Journal of Proteomics, Nature Communications, Leukemia and PROTEOMICS.
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.