Pau Castel
Impact in
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 14
- Protein Tyrosine Phosphatases 11
- Ubiquitin and proteasome pathways 8
- Protein Kinase Regulation and GTPase Signaling 7
- Protein Degradation and Inhibitors 3
- Oncology 13
- Cancer-related Molecular Pathways 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Maurizio Scaltriti (8 shared papers)Eneda Toska (6 shared papers)José Baselga (9 shared papers)Frank P. McCormick (8 shared papers)Jeffrey A. Engelman (1 shared paper)Maura N. Dickler (2 shared papers)F Javier Carmona Sanz (3 shared papers)Pedram Razavi (2 shared papers)
- Journals
- Cancer Discovery (3 papers)Science (3 papers)Cancer Research (3 papers)Proceedings of the National Academy of Sciences (2 papers)Science Translational Medicine (2 papers)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Pau Castel
50 papers receiving 2.9k citations
Pau Castel's Hit Papers
Peers
Comparison fields: 5 of 112
- Oncology 801
- Cancer Research 433
- Genetics 279
- Molecular Biology 1.7k
- Pathology and Forensic Medicine 346
Countries citing papers authored by Pau Castel
This map shows the geographic impact of Pau Castel'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 Pau Castel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Castel more than expected).
Fields of papers citing papers by Pau Castel
This network shows the impact of papers produced by Pau Castel. 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 Pau Castel. The network helps show where Pau Castel may publish in the future.
Co-authors
The 25 scholars most cited alongside Pau Castel, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Convergent loss of PTEN leads to clinical resistance to a PI(3)Kα inhibitor Hit paper breakdown → | 2014 | 490 |
| 2 | 2015 | 359 | |
| 3 | 2017 | 215 | |
| 4 | 2016 | 205 | |
| 5 | 2016 | 185 | |
| 6 | 2016 | 157 | |
| 7 | 2021 | 151 | |
| 8 | 2014 | 141 | |
| 9 | 2018 | 134 | |
| 10 | 2016 | 112 | |
| 11 | 2021 | 80 | |
| 12 | 2016 | 78 | |
| 13 | 2019 | 77 | |
| 14 | 2018 | 56 | |
| 15 | 2019 | 55 | |
| 16 | 2022 | 55 | |
| 17 | 2020 | 54 | |
| 18 | 2016 | 34 | |
| 19 | 2021 | 32 | |
| 20 | 2021 | 29 |
About Pau Castel
Pau Castel is a scholar working on Molecular Biology, Oncology, Cell Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 56 papers that have together received 2.9k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (14 papers), Protein Tyrosine Phosphatases (11 papers), Ubiquitin and proteasome pathways (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Cancer Mechanisms and Therapy (4 papers), Cancer-related Molecular Pathways (4 papers), Protein Degradation and Inhibitors (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Oncology (801 citations), Cancer Research (433 citations), Genetics (279 citations), Molecular Biology (1.7k citations) and Pathology and Forensic Medicine (346 citations). Pau Castel has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Maurizio Scaltriti, Eneda Toska, José Baselga, Frank P. McCormick, Jeffrey A. Engelman, Maura N. Dickler, F Javier Carmona Sanz, Pedram Razavi, Christina S. Leslie and Carmen Chan. Their work appears in journals such as Cancer Discovery, Science, Cancer Research, Proceedings of the National Academy of Sciences and Science Translational Medicine.
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.