Joan Castellsagué

462 total citations
8 papers, 157 citations indexed

About

Joan Castellsagué is a scholar working on Molecular Biology, Neurology and Immunology. According to data from OpenAlex, Joan Castellsagué has authored 8 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Neurology and 3 papers in Immunology. Recurrent topics in Joan Castellsagué's work include Neurofibromatosis and Schwannoma Cases (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and CAR-T cell therapy research (2 papers). Joan Castellsagué is often cited by papers focused on Neurofibromatosis and Schwannoma Cases (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and CAR-T cell therapy research (2 papers). Joan Castellsagué collaborates with scholars based in Spain, Canada and United States. Joan Castellsagué's co-authors include Conxi Lázaro, Juana Fernández‐Rodríguez, Ignacio Blanco, Miguel Ángel Pujana, Eduard Serra, Yolanda Benavente, Gabriel Capellá, José Luís Hernández, J. Martı́nez and Ramón Messeguer and has published in prestigious journals such as Nature Communications, Blood and Oncogene.

In The Last Decade

Joan Castellsagué

8 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Castellsagué Spain 7 73 42 39 33 27 8 157
Kristen L. Karlin United States 3 140 1.9× 71 1.7× 38 1.0× 8 0.2× 23 0.9× 3 226
María del Mar Inda Spain 7 154 2.1× 26 0.6× 46 1.2× 17 0.5× 14 0.5× 8 195
Tanya A. Kranenburg United States 5 155 2.1× 18 0.4× 27 0.7× 10 0.3× 20 0.7× 5 225
Yuchen Du United States 6 62 0.8× 16 0.4× 43 1.1× 13 0.4× 20 0.7× 14 130
Thomas F. Eleveld Netherlands 6 76 1.0× 34 0.8× 29 0.7× 18 0.5× 7 0.3× 11 129
Javal Sheth Canada 6 71 1.0× 25 0.6× 13 0.3× 21 0.6× 28 1.0× 10 170
Timothy Blake Palculict United States 5 124 1.7× 12 0.3× 98 2.5× 19 0.6× 24 0.9× 6 241
Laura Garcia-Gerique United States 7 73 1.0× 12 0.3× 75 1.9× 14 0.4× 91 3.4× 8 224
Tim van Groningen Netherlands 5 128 1.8× 125 3.0× 71 1.8× 12 0.4× 25 0.9× 7 214
Laura Creevey Ireland 5 177 2.4× 75 1.8× 31 0.8× 15 0.5× 14 0.5× 6 221

Countries citing papers authored by Joan Castellsagué

Since Specialization
Citations

This map shows the geographic impact of Joan Castellsagué'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 Joan Castellsagué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Castellsagué more than expected).

Fields of papers citing papers by Joan Castellsagué

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Castellsagué. 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 Joan Castellsagué. The network helps show where Joan Castellsagué may publish in the future.

Co-authorship network of co-authors of Joan Castellsagué

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Castellsagué. A scholar is included among the top collaborators of Joan Castellsagué 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 Joan Castellsagué. Joan Castellsagué is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Rodríguez-García, Alba, Marta Giménez-Alejandre, Joan Castellsagué, et al.. (2024). CAR affinity modulates the sensitivity of CAR-T cells to PD-1/PD-L1-mediated inhibition. Nature Communications. 15(1). 3552–3552. 23 indexed citations
2.
Rodríguez-García, Alba, Joan Castellsagué, Marta Giménez-Alejandre, et al.. (2022). Co-Transduced CD19/BCMA Dual-Targeting CAR-T Cells for the Treatment of Non-Hodgkin Lymphoma. Blood. 140(Supplement 1). 7386–7387. 2 indexed citations
3.
Padilla, Laura, Sheila Dakhel Plaza, Jaume Adán, et al.. (2017). S100A7: from mechanism to cancer therapy. Oncogene. 36(49). 6749–6761. 38 indexed citations
4.
Castellsagué, Joan, Bernat Gel, Juana Fernández‐Rodríguez, et al.. (2015). Comprehensive establishment and characterization of orthoxenograft mouse models of malignant peripheral nerve sheath tumors for personalized medicine. EMBO Molecular Medicine. 7(5). 608–627. 34 indexed citations
5.
Ferrer, Isidró, Helen Chen, Joan Castellsagué, et al.. (2014). Tubers from patients with tuberous sclerosis complex are characterized by changes in microtubule biology through ROCK2 signalling. The Journal of Pathology. 233(3). 247–257. 7 indexed citations
6.
Castellsagué, Joan, Jihong Jiang, Kristi Allen, et al.. (2013). Genomic imbalance ofHMMR/RHAMMregulates the sensitivity and response of malignant peripheral nerve sheath tumour cells to aurora kinase inhibition. Oncotarget. 4(1). 80–93. 26 indexed citations
7.
Menéndez, Mireia, Joan Castellsagué, Eva Pros, et al.. (2011). Assessing the RNA effect of 26 DNA variants in the BRCA1 and BRCA2 genes. Breast Cancer Research and Treatment. 132(3). 979–992. 13 indexed citations
8.
Fernández‐Rodríguez, Juana, Joan Castellsagué, Llúcia Benito‐Aracil, et al.. (2011). A mild neurofibromatosis type 1 phenotype produced by the combination of the benign nature of a leaky NF1-splice mutation and the presence of a complex mosaicism. Human Mutation. 32(7). 705–709. 14 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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