Fernando G. Osorio

4.1k total citations
32 papers, 2.8k citations indexed

About

Fernando G. Osorio is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Fernando G. Osorio has authored 32 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Fernando G. Osorio's work include Nuclear Structure and Function (17 papers), RNA Research and Splicing (14 papers) and DNA Repair Mechanisms (8 papers). Fernando G. Osorio is often cited by papers focused on Nuclear Structure and Function (17 papers), RNA Research and Splicing (14 papers) and DNA Repair Mechanisms (8 papers). Fernando G. Osorio collaborates with scholars based in Spain, United States and United Kingdom. Fernando G. Osorio's co-authors include Carlos López-Otı́n, José M.P. Freije, Félix de Carlos Villafranca, Ignacio Varela, Clara Soria‐Valles, Vicente Andrés, Antonio Fueyo, Juan Cadiñanos, Nicolas Lévy and José Rivera and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Fernando G. Osorio

32 papers receiving 2.7k citations

Peers

Fernando G. Osorio
Paul J. Coffer Netherlands
Prem K. Premsrirut United States
Beth B. McConnell United States
Claudio Scuoppo United States
Stefania Dell’Orso United States
Shivapriya Ramaswamy United States
David Frescas United States
Fernando G. Osorio
Citations per year, relative to Fernando G. Osorio Fernando G. Osorio (= 1×) peers Pekka Katajisto

Countries citing papers authored by Fernando G. Osorio

Since Specialization
Citations

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

Fields of papers citing papers by Fernando G. Osorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando G. Osorio. 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 Fernando G. Osorio. The network helps show where Fernando G. Osorio may publish in the future.

Co-authorship network of co-authors of Fernando G. Osorio

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando G. Osorio. A scholar is included among the top collaborators of Fernando G. Osorio 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 Fernando G. Osorio. Fernando G. Osorio 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.
Patel, Sachin, Constantina Christodoulou, Caleb Weinreb, et al.. (2022). Lifelong multilineage contribution by embryonic-born blood progenitors. Nature. 606(7915). 747–753. 77 indexed citations
2.
Bowling, Sarah, Duluxan Sritharan, Fernando G. Osorio, et al.. (2020). An Engineered CRISPR-Cas9 Mouse Line for Simultaneous Readout of Lineage Histories and Gene Expression Profiles in Single Cells. Cell. 181(6). 1410–1422.e27. 194 indexed citations
3.
Cheung, Priscilla, Michael T. Dill, Wei-Chien Yuan, et al.. (2020). Regenerative Reprogramming of the Intestinal Stem Cell State via Hippo Signaling Suppresses Metastatic Colorectal Cancer. Cell stem cell. 27(4). 590–604.e9. 125 indexed citations
4.
Santiago‐Fernández, Olaya, Fernando G. Osorio, Vı́ctor Quesada, et al.. (2019). Development of a CRISPR/Cas9-based therapy for Hutchinson–Gilford progeria syndrome. Nature Medicine. 25(3). 423–426. 115 indexed citations
5.
Osorio, Fernando G., Axel Rosendahl Huber, Rurika Oka, et al.. (2018). Somatic Mutations Reveal Lineage Relationships and Age-Related Mutagenesis in Human Hematopoiesis. Cell Reports. 25(9). 2308–2316.e4. 151 indexed citations
6.
Nogueira-Recalde, Uxía, V. Calamia, Fernando G. Osorio, et al.. (2017). Deficient autophagy induces chondrocyte senescence through lamin A/C accumulation in aging and osteoarthritis. Osteoarthritis and Cartilage. 25. S86–S86. 2 indexed citations
7.
Soria‐Valles, Clara, Ana Gutiérrez‐Fernández, Fernando G. Osorio, et al.. (2016). MMP-25 Metalloprotease Regulates Innate Immune Response through NF-κB Signaling. The Journal of Immunology. 197(1). 296–302. 39 indexed citations
8.
Santiago‐Fernández, Olaya, Fernando G. Osorio, & Carlos López-Otı́n. (2016). Proteostasis alterations in myeloproliferative neoplasms: Oncogenic relevance and therapeutic opportunities. Experimental Hematology. 44(7). 574–577. 3 indexed citations
9.
Osorio, Fernando G., Clara Soria‐Valles, Olaya Santiago‐Fernández, José M.P. Freije, & Carlos López-Otı́n. (2016). NF-κB signaling as a driver of ageing. International review of cell and molecular biology. 326. 133–174. 61 indexed citations
10.
Soria‐Valles, Clara, Alejandro López‐Soto, Fernando G. Osorio, & Carlos López-Otı́n. (2016). Immune and inflammatory responses to DNA damage in cancer and aging. Mechanisms of Ageing and Development. 165(Pt A). 10–16. 30 indexed citations
11.
Gutiérrez‐Fernández, Ana, Clara Soria‐Valles, Fernando G. Osorio, et al.. (2015). Loss of MT 1‐ MMP causes cell senescence and nuclear defects which can be reversed by retinoic acid. The EMBO Journal. 34(14). 1875–1888. 78 indexed citations
12.
Osorio, Fernando G., Clara Soria‐Valles, Olaya Santiago‐Fernández, et al.. (2015). Loss of the proteostasis factor AIRAPL causes myeloid transformation by deregulating IGF-1 signaling. Nature Medicine. 22(1). 91–96. 33 indexed citations
13.
Rosa, Jorge de la, José M.P. Freije, Rubén Cabanillas, et al.. (2013). Prelamin A causes progeria through cell-extrinsic mechanisms and prevents cancer invasion. Nature Communications. 4(1). 2268–2268. 57 indexed citations
14.
Rivera, José, Rebeca Acín‐Pérez, Pablo Cabezas-Sánchez, et al.. (2013). Identification of mitochondrial dysfunction in Hutchinson–Gilford progeria syndrome through use of stable isotope labeling with amino acids in cell culture. Journal of Proteomics. 91. 466–477. 110 indexed citations
15.
Bárcena, Clea, Fernando G. Osorio, & José M.P. Freije. (2012). Detection of Nuclear Envelope Alterations in Senescence. Methods in molecular biology. 965. 243–251. 2 indexed citations
16.
Puente, Xosé S., Vı́ctor Quesada, Fernando G. Osorio, et al.. (2011). Exome Sequencing and Functional Analysis Identifies BANF1 Mutation as the Cause of a Hereditary Progeroid Syndrome. The American Journal of Human Genetics. 88(5). 650–656. 154 indexed citations
18.
Mariño, Guillermo, Alejandro P. Ugalde, Álvaro F. Fernández, et al.. (2010). Insulin-like growth factor 1 treatment extends longevity in a mouse model of human premature aging by restoring somatotroph axis function. Proceedings of the National Academy of Sciences. 107(37). 16268–16273. 115 indexed citations
19.
Varela, Ignacio, Sandrine Pereira, Alejandro P. Ugalde, et al.. (2008). Combined treatment with statins and aminobisphosphonates extends longevity in a mouse model of human premature aging. Nature Medicine. 14(7). 767–772. 308 indexed citations
20.
Osorio, Fernando G., Álvaro J. Obaya, Carlos López-Otı́n, & José M.P. Freije. (2008). Accelerated ageing: from mechanism to therapy through animal models. Transgenic Research. 18(1). 7–15. 34 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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