Felipe Prósper

29.2k total citations · 3 hit papers
390 papers, 14.4k citations indexed

About

Felipe Prósper is a scholar working on Molecular Biology, Hematology and Surgery. According to data from OpenAlex, Felipe Prósper has authored 390 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 184 papers in Molecular Biology, 100 papers in Hematology and 99 papers in Surgery. Recurrent topics in Felipe Prósper's work include Tissue Engineering and Regenerative Medicine (75 papers), Mesenchymal stem cell research (51 papers) and Electrospun Nanofibers in Biomedical Applications (45 papers). Felipe Prósper is often cited by papers focused on Tissue Engineering and Regenerative Medicine (75 papers), Mesenchymal stem cell research (51 papers) and Electrospun Nanofibers in Biomedical Applications (45 papers). Felipe Prósper collaborates with scholars based in Spain, United States and Germany. Felipe Prósper's co-authors include Xabier Agirre, Beatriz Pelacho, Enrique J. Andreu, José Román‐Gómez, Catherine M. Verfaillie, Edurne San José‐Eneriz, María J. Blanco‐Prieto, Gloria Abizanda, José L. Fernández-Luna and Marı́a José Calasanz and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Felipe Prósper

377 papers receiving 14.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Inhibition of SARS-CoV-2 Infections in Engineered Human Tissues Using Clinical-Grade Soluble Human ACE2

2020 1.5k citations Elena Garreta, Felipe Prósper et al. profile →
Lipid nanoparticles for siRNA delivery in cancer treatment

2023 105 citations Elisa Garbayo, Simon Pascual‐Gil et al. Journal of Controlled Release profile →
Natural Hydrogels Support Kidney Organoid Generation and Promote In Vitro Angiogenesis

2024 35 citations Elena Garreta, Asier Ullate‐Agote et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felipe Prósper Spain	64	6.6k	2.8k	2.8k	2.7k	2.2k	390	14.4k
Mervin C. Yöder United States	76	11.3k 1.7×	2.9k 1.0×	3.2k 1.2×	3.3k 1.2×	2.1k 0.9×	315	20.1k
Zhongchao Han China	63	5.8k 0.9×	1.9k 0.7×	3.3k 1.2×	4.9k 1.8×	1.9k 0.9×	372	13.2k
Christian Jørgensen France	72	6.6k 1.0×	1.2k 0.4×	3.8k 1.4×	8.0k 3.0×	3.0k 1.4×	386	19.4k
David A. Williams United States	74	11.0k 1.7×	3.6k 1.3×	2.2k 0.8×	3.0k 1.1×	841 0.4×	338	21.2k
Glenn F. Pierce United States	69	6.2k 0.9×	4.1k 1.5×	2.0k 0.7×	1.3k 0.5×	524 0.2×	222	15.8k
Dennis McGonagle United Kingdom	70	2.9k 0.4×	3.4k 1.2×	3.3k 1.2×	3.5k 1.3×	494 0.2×	362	18.7k
Karl Tryggvason Sweden	96	15.1k 2.3×	3.6k 1.3×	2.8k 1.0×	2.3k 0.8×	6.8k 3.1×	384	34.3k
Jacques Galipeau United States	57	4.7k 0.7×	1.1k 0.4×	3.8k 1.4×	7.2k 2.7×	1.3k 0.6×	218	13.0k
Willem E. Fibbe Netherlands	59	4.9k 0.7×	3.9k 1.4×	6.2k 2.2×	11.1k 4.1×	1.5k 0.7×	215	19.4k
Wim B. van den Berg Netherlands	99	10.8k 1.6×	2.2k 0.8×	3.7k 1.3×	1.2k 0.5×	3.4k 1.6×	451	32.9k

Countries citing papers authored by Felipe Prósper

Since Specialization

Citations

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

Fields of papers citing papers by Felipe Prósper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe Prósper

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ullate‐Agote, Asier, Olalla Iglesias‐García, Patxi San Martín‐Úriz, et al.. (2025). Billion‐Scale Expansion of Functional hiPSC‐Derived Cardiomyocytes in Bioreactors Through Oxygen Control and Continuous Wnt Activation. Advanced Science. 12(11). e2410510–e2410510. 3 indexed citations

Garreta, Elena, Asier Ullate‐Agote, Carolina Tarantino, et al.. (2024). Natural Hydrogels Support Kidney Organoid Generation and Promote In Vitro Angiogenesis. Advanced Materials. 36(34). e2400306–e2400306. 35 indexed citations breakdown →

Valcárcel, Luis V., Edurne San José‐Eneriz, Raquel Ordóñez, et al.. (2024). An automated network-based tool to search for metabolic vulnerabilities in cancer. Nature Communications. 15(1). 8685–8685. 2 indexed citations

Garbayo, Elisa, Carlos Rodríguez‐Nogales, Xabier Agirre, et al.. (2024). RNA-loaded nanoparticles for the treatment of hematological cancers. Advanced Drug Delivery Reviews. 214. 115448–115448. 7 indexed citations

Icardi, Laura, Veronica Basso, A Agresti, et al.. (2023). The transcriptional regulator Sin3A balances IL‐17A and Foxp3 expression in primary CD4 T cells. EMBO Reports. 24(5). e55326–e55326. 4 indexed citations

Serrano, Diego, Noëlia Casares, Marta Gorraiz, et al.. (2022). Targeting the extra domain A of fibronectin for cancer therapy with CAR-T cells. Journal for ImmunoTherapy of Cancer. 10(8). e004479–e004479. 28 indexed citations

Morgan, Duncan M., et al.. (2022). WAT3R: recovery of T-cell receptor variable regions from 3′ single-cell RNA-sequencing. Bioinformatics. 38(14). 3645–3647. 7 indexed citations

Coppiello, Giulia, Juan R. Rodríguez-Madoz, Gloria Abizanda, et al.. (2022). One-Step In Vitro Generation of ETV2-Null Pig Embryos. Animals. 12(14). 1829–1829. 2 indexed citations

Prósper, Felipe, et al.. (2021). The Role of lncRNAs in the Pathobiology and Clinical Behavior of Multiple Myeloma. Cancers. 13(8). 1976–1976. 11 indexed citations

10.

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

11.

Moreno, Laura, Cristina Pérez, Aintzane Zabaleta, et al.. (2019). The Mechanism of Action of the Anti-CD38 Monoclonal Antibody Isatuximab in Multiple Myeloma. Clinical Cancer Research. 25(10). 3176–3187. 148 indexed citations

12.

Saludas, Laura, Simon Pascual‐Gil, Teresa Simón‐Yarza, et al.. (2017). Transplantation of adipose-derived stem cells combined with neuregulin-microparticles promotes efficient cardiac repair in a rat myocardial infarction model. Journal of Controlled Release. 249. 23–31. 41 indexed citations

13.

Puchades‐Carrasco, Leonor, Ramón Lecumberri, Joaquín Martínez‐López, et al.. (2013). Multiple Myeloma Patients Have a Specific Serum Metabolomic Profile That Changes after Achieving Complete Remission. Clinical Cancer Research. 19(17). 4770–4779. 70 indexed citations

14.

Fernández‐Mercado, Marta, Bon Ham Yip, Andrea Pellagatti, et al.. (2012). Mutation Patterns of 16 Genes in Primary and Secondary Acute Myeloid Leukemia (AML) with Normal Cytogenetics. PLoS ONE. 7(8). e42334–e42334. 53 indexed citations

15.

Javierre, Biola M., Javier Rodríguez‐Ubreva, Fátima Al‐Shahrour, et al.. (2011). Long-Range Epigenetic Silencing Associates with Deregulation of Ikaros Targets in Colorectal Cancer Cells. Molecular Cancer Research. 9(8). 1139–1151. 45 indexed citations

16.

Agirre, Xabier, Amaia Vilas‐Zornoza, Antonio Jiménez‐Velasco, et al.. (2009). Epigenetic Silencing of the Tumor Suppressor MicroRNA Hsa-miR-124a Regulates CDK6 Expression and Confers a Poor Prognosis in Acute Lymphoblastic Leukemia. Cancer Research. 69(10). 4443–4453. 242 indexed citations

17.

Pérez-Ilzarbe, M., Onnik Agbulut, Beatriz Pelacho, et al.. (2008). Characterization of the Paracrine Effects of Human Skeletal Myoblasts Transplanted in Infarcted Myocardium. European Journal of Heart Failure. 10(11). 1065–1072. 111 indexed citations

18.

Agirre, Xabier, Antonio Jiménez‐Velasco, Edurne San José‐Eneriz, et al.. (2008). Down-Regulation of hsa-miR-10a in Chronic Myeloid Leukemia CD34+ Cells Increases USF2-Mediated Cell Growth. Molecular Cancer Research. 6(12). 1830–1840. 173 indexed citations

19.

Prósper, Felipe, et al.. (2008). Regeneración de la superficie ocular: stem cells/células madre y técnicas reconstructivas. Anales del Sistema Sanitario de Navarra. 31(1). 53–69. 1 indexed citations

20.

Mazo, Manuel, Valérie Planat‐Benard, Gloria Abizanda, et al.. (2008). Transplantation of Adipose Derived Stromal Cells is Associated with Functional Improvement in a Rat Model of Chronic Myocardial Infarction. European Journal of Heart Failure. 10(5). 454–462. 157 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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