Roser Vilarrasa‐Blasi

1.6k total citations
8 papers, 361 citations indexed

About

Roser Vilarrasa‐Blasi is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Roser Vilarrasa‐Blasi has authored 8 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Immunology and 1 paper in Genetics. Recurrent topics in Roser Vilarrasa‐Blasi's work include Single-cell and spatial transcriptomics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Roser Vilarrasa‐Blasi is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Ubiquitin and proteasome pathways (2 papers) and Immune Cell Function and Interaction (2 papers). Roser Vilarrasa‐Blasi collaborates with scholars based in Spain, United Kingdom and Italy. Roser Vilarrasa‐Blasi's co-authors include José I. Martı́n-Subero, Isabel Fabregat, Àngels Fabra, Patricia Sancho, Núria Verdaguer-Dot, Conrado Fernández‐Rodríguez, Gianluigi Giannelli, Esther Bertrán, Alberto Álvarez and Pedro M. Fernández‐Salguero and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Roser Vilarrasa‐Blasi

8 papers receiving 358 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roser Vilarrasa‐Blasi Spain 7 258 65 58 55 52 8 361
Nathalie McDonell France 7 224 0.9× 43 0.7× 43 0.7× 17 0.3× 38 0.7× 7 328
Yolanda Y. L. Yang United States 7 739 2.9× 38 0.6× 96 1.7× 30 0.5× 61 1.2× 7 871
Martin Siegemund Germany 9 228 0.9× 98 1.5× 35 0.6× 137 2.5× 13 0.3× 14 387
Katsutoshi Nakano Japan 7 468 1.8× 68 1.0× 13 0.2× 45 0.8× 38 0.7× 20 642
Shiuan Wang United States 6 244 0.9× 98 1.5× 42 0.7× 144 2.6× 54 1.0× 6 453
Dave P. Witte United States 8 233 0.9× 51 0.8× 101 1.7× 32 0.6× 45 0.9× 10 390
Lisa Salazar United States 6 336 1.3× 48 0.7× 28 0.5× 25 0.5× 132 2.5× 6 469
Shizuka Ishitani Japan 8 295 1.1× 47 0.7× 40 0.7× 32 0.6× 29 0.6× 10 362
M. Escarceller Spain 13 432 1.7× 57 0.9× 158 2.7× 19 0.3× 58 1.1× 21 553

Countries citing papers authored by Roser Vilarrasa‐Blasi

Since Specialization
Citations

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

Fields of papers citing papers by Roser Vilarrasa‐Blasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roser Vilarrasa‐Blasi. 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 Roser Vilarrasa‐Blasi. The network helps show where Roser Vilarrasa‐Blasi may publish in the future.

Co-authorship network of co-authors of Roser Vilarrasa‐Blasi

This figure shows the co-authorship network connecting the top 25 collaborators of Roser Vilarrasa‐Blasi. A scholar is included among the top collaborators of Roser Vilarrasa‐Blasi 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 Roser Vilarrasa‐Blasi. Roser Vilarrasa‐Blasi 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.
Suo, Chenqu, Krzysztof Polański, Emma Dann, et al.. (2023). Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins. Nature Biotechnology. 42(1). 40–51. 23 indexed citations
2.
Vento‐Tormo, Roser & Roser Vilarrasa‐Blasi. (2023). Cell-level reference maps for the human body take shape. Nature. 619(7970). 467–468. 3 indexed citations
3.
Alsinet, Clara, Valentina Lorenzi, Erica Bello, et al.. (2022). Robust temporal map of human in vitro myelopoiesis using single-cell genomics. Nature Communications. 13(1). 13 indexed citations
4.
Vilarrasa‐Blasi, Roser, Paula Soler-Vila, Núria Verdaguer-Dot, et al.. (2021). Dynamics of genome architecture and chromatin function during human B cell differentiation and neoplastic transformation. Nature Communications. 12(1). 651–651. 76 indexed citations
5.
Vilarrasa‐Blasi, Roser, Núria Verdaguer-Dot, Laura Belver, et al.. (2021). Insights into the mechanisms underlying aberrant SOX11 oncogene expression in mantle cell lymphoma. Leukemia. 36(2). 583–587. 6 indexed citations
6.
Fraile, Julia M., Francisco Rodríguez, Aurora Astudillo, et al.. (2017). Loss of the deubiquitinase USP36 destabilizes the RNA helicase DHX33 and causes preimplantation lethality in mice. Journal of Biological Chemistry. 293(6). 2183–2194. 34 indexed citations
7.
Fernández‐Santiago, Rubén, Iria Carballo‐Carbajal, Giancarlo Castellano, et al.. (2015). Aberrant epigenome in iPSC ‐derived dopaminergic neurons from Parkinson's disease patients. EMBO Molecular Medicine. 7(12). 1529–1546. 110 indexed citations
8.
Fernando, Joan, Andrea Malfettone, Roser Vilarrasa‐Blasi, et al.. (2014). A mesenchymal‐like phenotype and expression of CD44 predict lack of apoptotic response to sorafenib in liver tumor cells. International Journal of Cancer. 136(4). E161–72. 96 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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