Pau Castel

3.8k total citations
39 papers, 1.1k citations indexed

About

Pau Castel is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Pau Castel has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Pau Castel's work include PI3K/AKT/mTOR signaling in cancer (12 papers), Protein Tyrosine Phosphatases (8 papers) and Ubiquitin and proteasome pathways (8 papers). Pau Castel is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (12 papers), Protein Tyrosine Phosphatases (8 papers) and Ubiquitin and proteasome pathways (8 papers). Pau Castel collaborates with scholars based in United States, United Kingdom and Spain. Pau Castel's co-authors include Maurizio Scaltriti, Eneda Toska, José Baselga, Jeffrey A. Engelman, Frank McCormick, Maura N. Dickler, F. Javier Carmona, Pedram Razavi, Ružica Bago and Dario R. Alessi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Pau Castel

35 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pau Castel United States 13 801 319 195 153 151 39 1.1k
Rana Anjum United States 10 864 1.1× 259 0.8× 239 1.2× 85 0.6× 70 0.5× 20 1.2k
Ian A.J. Lorimer Canada 21 710 0.9× 518 1.6× 308 1.6× 399 2.6× 129 0.9× 41 1.3k
Iván Plaza-Menacho United Kingdom 20 598 0.7× 490 1.5× 241 1.2× 197 1.3× 151 1.0× 27 1.3k
Tone Sandal Norway 13 488 0.6× 430 1.3× 73 0.4× 145 0.9× 174 1.2× 16 1.1k
Dean B. Reardon United States 18 791 1.0× 595 1.9× 315 1.6× 232 1.5× 63 0.4× 23 1.4k
Eneda Toska United States 17 855 1.1× 263 0.8× 227 1.2× 210 1.4× 57 0.4× 36 1.1k
Anna L. Stratford Canada 24 1.2k 1.5× 567 1.8× 130 0.7× 445 2.9× 92 0.6× 27 1.9k
Marion Wiesmann Switzerland 12 980 1.2× 477 1.5× 353 1.8× 166 1.1× 79 0.5× 20 1.6k
Hany Kayed Germany 23 923 1.2× 640 2.0× 138 0.7× 263 1.7× 233 1.5× 45 1.5k
Katti Jessen United States 12 1.3k 1.6× 389 1.2× 157 0.8× 184 1.2× 78 0.5× 27 1.6k

Countries citing papers authored by Pau Castel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Pau Castel

This figure shows the co-authorship network connecting the top 25 collaborators of Pau Castel. A scholar is included among the top collaborators of Pau Castel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pau Castel. Pau Castel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dharmaiah, Srisathiyanarayanan, Daniel A. Bonsor, Albert H. Chan, et al.. (2025). Structural basis for LZTR1 recognition of RAS GTPases for degradation. Science. 389(6765). 1112–1117.
2.
Cuevas-Navarro, Antonio, Emily G. Shuldiner, Walid K. Chatila, et al.. (2025). RIT1 Drives Oncogenic Transformation and Is an Actionable Target in Lung Adenocarcinoma. Cancer Research. 85(17). 3196–3206. 1 indexed citations
3.
Simanshu, Dhirendra K., et al.. (2024). Functional and structural insights into RAS effector proteins. Molecular Cell. 84(15). 2807–2821. 10 indexed citations
4.
Cuevas-Navarro, Antonio, Monalisa Swain, John Columbus, et al.. (2023). RAS-dependent RAF-MAPK hyperactivation by pathogenic RIT1 is a therapeutic target in Noonan syndrome–associated cardiac hypertrophy. Science Advances. 9(28). eadf4766–eadf4766. 12 indexed citations
5.
Bonsor, Daniel A., Matthew J. Sale, Anatoly Urisman, et al.. (2023). The ribosomal S6 kinase 2 (RSK2)–SPRED2 complex regulates the phosphorylation of RSK substrates and MAPK signaling. Journal of Biological Chemistry. 299(6). 104789–104789. 7 indexed citations
6.
González‐Crespo, Sergio, et al.. (2022). Noncanonical function of Capicua as a growth termination signal inDrosophilaoogenesis. Proceedings of the National Academy of Sciences. 119(31). e2123467119–e2123467119. 1 indexed citations
7.
Castel, Pau. (2022). Defective protein degradation in genetic disorders. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1868(5). 166366–166366. 2 indexed citations
8.
Cuevas-Navarro, Antonio, et al.. (2021). The RAS GTPase RIT1 compromises mitotic fidelity through spindle assembly checkpoint suppression. Current Biology. 31(17). 3915–3924.e9. 11 indexed citations
9.
Castel, Pau, Eneda Toska, Jeffrey A. Engelman, & Maurizio Scaltriti. (2021). The present and future of PI3K inhibitors for cancer therapy. Nature Cancer. 2(6). 587–597. 128 indexed citations
10.
Cubiró, Xavier, et al.. (2020). Clinical and genetic evaluation of six children with diffuse capillary malformation and undergrowth. Pediatric Dermatology. 37(5). 833–838. 8 indexed citations
11.
Wong, Jasmine C., Pedro A. Pérez–Mancera, Joaquím Grego‐Bessa, et al.. (2020). KrasP34R and KrasT58I mutations induce distinct RASopathy phenotypes in mice. JCI Insight. 5(21). 8 indexed citations
12.
Castel, Pau, Katherine A. Rauen, & Frank McCormick. (2020). The duality of human oncoproteins: drivers of cancer and congenital disorders. Nature reviews. Cancer. 20(7). 383–397. 46 indexed citations
13.
Castel, Pau, Ann Holtz-Morris, Yong-Won Kwon, Bernhard Suter, & Frank McCormick. (2020). DoMY-Seq: A yeast two-hybrid–based technique for precision mapping of protein–protein interaction motifs. Journal of Biological Chemistry. 296. 100023–100023. 7 indexed citations
14.
Castel, Pau, Alice Cheng, Antonio Cuevas-Navarro, et al.. (2019). RIT1 oncoproteins escape LZTR1-mediated proteolysis. Science. 363(6432). 1226–1230. 57 indexed citations
15.
Toska, Eneda, Pau Castel, Sagar Chhangawala, et al.. (2019). PI3K Inhibition Activates SGK1 via a Feedback Loop to Promote Chromatin-Based Regulation of ER-Dependent Gene Expression. Cell Reports. 27(1). 294–306.e5. 50 indexed citations
16.
Le, Xiuning, Pedram Razavi, Daniel J. Treacy, et al.. (2016). Systematic Functional Characterization of Resistance to PI3K Inhibition in Breast Cancer. Cancer Discovery. 6(10). 1134–1147. 97 indexed citations
17.
Figueiredo, Ana M., Pau Castel, Laura Ruiz Martín, et al.. (2016). Therapeutic Benefit of Selective Inhibition of p110α PI3-Kinase in Pancreatic Neuroendocrine Tumors. Clinical Cancer Research. 22(23). 5805–5817. 34 indexed citations
18.
Grego‐Bessa, Joaquím, Joshua Bloomekatz, Pau Castel, et al.. (2016). The tumor suppressor PTEN and the PDK1 kinase regulate formation of the columnar neural epithelium. eLife. 5. e12034–e12034. 19 indexed citations
19.
Castel, Pau, Haley Ellis, Ružica Bago, et al.. (2016). PDK1-SGK1 Signaling Sustains AKT-Independent mTORC1 Activation and Confers Resistance to PI3Kα Inhibition. Cancer Cell. 30(2). 229–242. 173 indexed citations
20.
Castel, Pau, et al.. (1957). Elimination d'Hymenolepis fraterna de la souris et du rat par le dilaurate et le dichlorure d'étain di-n-octyle.. Bulletin de la Société de pathologie exotique. 50(3). 1 indexed citations

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.

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