Javíer Santos

483 total citations
28 papers, 366 citations indexed

About

Javíer Santos is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Javíer Santos has authored 28 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Oncology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Javíer Santos's work include Ubiquitin and proteasome pathways (8 papers), Epigenetics and DNA Methylation (5 papers) and Cell death mechanisms and regulation (3 papers). Javíer Santos is often cited by papers focused on Ubiquitin and proteasome pathways (8 papers), Epigenetics and DNA Methylation (5 papers) and Cell death mechanisms and regulation (3 papers). Javíer Santos collaborates with scholars based in Spain, France and Germany. Javíer Santos's co-authors include José Fernández‐Piqueras, María Villa‐Morales, Pilar López‐Nieva, Laura González-Sánchez, Ignacío Pérez de Castro, M. Herranz, Pablo Fernández‐Navarro, Àngel Pellicer, Miguel Quintanilla and Eduardo Pérez-Gómez and has published in prestigious journals such as Cancer Research, Oncogene and Scientific Reports.

In The Last Decade

Javíer Santos

28 papers receiving 365 citations

Peers

Javíer Santos
Cristina M. Contreras United States
Giancarlo Barone United Kingdom
Roser Calvo United States
N C Cheng Netherlands
Rodney Staggs United States
Javíer Santos
Citations per year, relative to Javíer Santos Javíer Santos (= 1×) peers Neelanjana Chunder

Countries citing papers authored by Javíer Santos

Since Specialization
Citations

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

Fields of papers citing papers by Javíer Santos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javíer Santos

This figure shows the co-authorship network connecting the top 25 collaborators of Javíer Santos. A scholar is included among the top collaborators of Javíer Santos 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 Javíer Santos. Javíer Santos 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.
Fernández‐Navarro, Pablo, Pilar Llamas, José Luis López Lorenzo, et al.. (2024). PIM1 is a potential therapeutic target for the leukemogenic effects mediated by JAK/STAT pathway mutations in T-ALL/LBL. npj Precision Oncology. 8(1). 152–152. 1 indexed citations
2.
Fernández‐Navarro, Pablo, Pilar Llamas, José Luis López Lorenzo, et al.. (2023). The JAK3Q988P mutation reveals oncogenic potential and resistance to ruxolitinib. Molecular Carcinogenesis. 63(1). 5–10. 1 indexed citations
3.
Villa‐Morales, María, et al.. (2023). Identification of NRF2 Activation as a Prognostic Biomarker in T-Cell Acute Lymphoblastic Leukaemia. International Journal of Molecular Sciences. 24(12). 10350–10350. 2 indexed citations
4.
López‐Nieva, Pilar, Laura González-Sánchez, Raúl Sánchez Pérez, et al.. (2022). Differential molecular response in mice and human thymocytes exposed to a combined-dose radiation regime. Scientific Reports. 12(1). 3144–3144. 3 indexed citations
5.
Atkinson, Michael J., et al.. (2022). Quantifying telomeric lncRNAs using PNA-labelled RNA-Flow FISH (RNA-Flow). Communications Biology. 5(1). 513–513. 2 indexed citations
6.
González-Sánchez, Laura, Pilar López‐Nieva, María Villa‐Morales, et al.. (2019). Exploiting the passenger ACO1-deficiency arising from 9p21 deletions to kill T-cell lymphoblastic neoplasia cells. Carcinogenesis. 41(8). 1113–1122. 8 indexed citations
7.
González-Sánchez, Laura, Pilar López‐Nieva, Pablo Fernández‐Navarro, et al.. (2019). Downregulation of specific FBXW7 isoforms with differential effects in T-cell lymphoblastic lymphoma. Oncogene. 38(23). 4620–4636. 8 indexed citations
8.
López‐Nieva, Pilar, María Villa‐Morales, Laura González-Sánchez, et al.. (2015). Contribution of JAK2 mutations to T-cell lymphoblastic lymphoma development. Leukemia. 30(1). 94–103. 25 indexed citations
9.
Villa‐Morales, María, Javíer Santos, María J. Bueno, et al.. (2013). Down-regulation of specific miRNAs enhances the expression of the gene Smoothened and contributes to T-cell lymphoblastic lymphoma development. Carcinogenesis. 34(4). 902–908. 23 indexed citations
10.
López‐Nieva, Pilar, Concepción Vaquero, Pablo Fernández‐Navarro, et al.. (2011). EPHA7 , a new target gene for 6q deletion in T-cell lymphoblastic lymphomas. Carcinogenesis. 33(2). 452–458. 28 indexed citations
12.
Santos, Javíer, Laura González-Sánchez, María Villa‐Morales, et al.. (2010). The stromal gene encoding the CD274 antigen as a genetic modifier controlling survival of mice with γ-radiation-induced T-cell lymphoblastic lymphomas. Oncogene. 29(38). 5265–5273. 7 indexed citations
13.
Santos, Javíer, Laura González-Sánchez, María Villa‐Morales, et al.. (2009). A Role for Stroma-Derived Annexin A1 as Mediator in the Control of Genetic Susceptibility to T-Cell Lymphoblastic Malignancies through Prostaglandin E2 Secretion. Cancer Research. 69(6). 2577–2587. 11 indexed citations
14.
Pérez-Gómez, Eduardo, María Villa‐Morales, Javíer Santos, et al.. (2007). A Role for Endoglin as a Suppressor of Malignancy during Mouse Skin Carcinogenesis. Cancer Research. 67(21). 10268–10277. 44 indexed citations
15.
Villa‐Morales, María, Javíer Santos, Eduardo Pérez-Gómez, Miguel Quintanilla, & José Fernández‐Piqueras. (2007). A Role for the Fas/FasL System in Modulating Genetic Susceptibility to T-Cell Lymphoblastic Lymphomas. Cancer Research. 67(11). 5107–5116. 11 indexed citations
16.
Villa‐Morales, María, Javíer Santos, & José Fernández‐Piqueras. (2005). Functional Fas (Cd95/Apo-1) promoter polymorphisms in inbred mouse strains exhibiting different susceptibility to γ-radiation-induced thymic lymphoma. Oncogene. 25(14). 2022–2029. 21 indexed citations
17.
Santos, Javíer, Xavier Montagutelli, Abraham Acevedo‐Arozena, et al.. (2002). A new locus for resistance to γ-radiation-induced thymic lymphoma identified using inter-specific consomic and inter-specific recombinant congenic strains of mice. Oncogene. 21(43). 6680–6683. 31 indexed citations
18.
Malumbres, Marcos, Ignacío Pérez de Castro, Javíer Santos, et al.. (1998). An AC-repeat adjacent to mouse Cdkn2B allows the detection of specific allelic losses in the p15 INK4b and p16 INK4a tumor suppressor genes. Mammalian Genome. 9(3). 183–185. 8 indexed citations
19.
Santos, Javíer, Ignacío Pérez de Castro, M. Herranz, & José Fernández‐Piqueras. (1995). Eight new polymorphic microsatellites in mouse gene loci. Cytogenetic and Genome Research. 71(3). 223–224. 5 indexed citations
20.
Santos, Javíer, et al.. (1995). Familial cosegregation of manic‐depressive illness and a form of hereditary cerebellar ataxia. American Journal of Medical Genetics. 60(3). 206–209. 4 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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