José M. Silva

5.0k total citations · 1 hit paper
55 papers, 3.8k citations indexed

About

José M. Silva is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, José M. Silva has authored 55 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Oncology and 11 papers in Pharmacology. Recurrent topics in José M. Silva's work include Pharmacogenetics and Drug Metabolism (10 papers), Cancer Genomics and Diagnostics (9 papers) and Inflammatory mediators and NSAID effects (7 papers). José M. Silva is often cited by papers focused on Pharmacogenetics and Drug Metabolism (10 papers), Cancer Genomics and Diagnostics (9 papers) and Inflammatory mediators and NSAID effects (7 papers). José M. Silva collaborates with scholars based in Spain, United States and Canada. José M. Silva's co-authors include Gregory J. Hannon, Félix Bonilla, Javier Silva, Stephen J. Elledge, J.M. Jurado, Gemma Domínguez, Deborah A. Nicoll‐Griffith, Pilar España, Ravi Sachidanandam and Mariano Provencio and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

José M. Silva

53 papers receiving 3.7k citations

Hit Papers

A resource for large-scale RNA-interference-based screens... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers

José M. Silva
José M. Silva
Citations per year, relative to José M. Silva José M. Silva (= 1×) peers Moulay A. Alaoui‐Jamali

Countries citing papers authored by José M. Silva

Since Specialization
Citations

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

Fields of papers citing papers by José M. Silva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José M. Silva. 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 José M. Silva. The network helps show where José M. Silva may publish in the future.

Co-authorship network of co-authors of José M. Silva

This figure shows the co-authorship network connecting the top 25 collaborators of José M. Silva. A scholar is included among the top collaborators of José M. Silva 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 José M. Silva. José M. Silva 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
2.
Bardot, Evan, Víctor Julián Valdés, Jisheng Zhang, et al.. (2013). Polycomb subunits Ezh1 and Ezh2 regulate the Merkel cell differentiation program in skin stem cells. The EMBO Journal. 32(14). 1990–2000. 86 indexed citations
3.
Ezhkova, Elena, Wen‐Hui Lien, Nicole Stokes, et al.. (2011). EZH1 and EZH2 cogovern histone H3K27 trimethylation and are essential for hair follicle homeostasis and wound repair. Genes & Development. 25(5). 485–498. 281 indexed citations
4.
Silva, José M., Krista Marran, Joel S. Parker, et al.. (2008). Profiling Essential Genes in Human Mammary Cells by Multiplex RNAi Screening. Science. 319(5863). 617–620. 225 indexed citations
5.
Lévesque, Jean-François, Stephen H. Day, Nathalie Chauret, et al.. (2007). Metabolic activation of indole-containing prostaglandin D2 receptor 1 antagonists: Impacts of glutathione trapping and glucuronide conjugation on covalent binding. Bioorganic & Medicinal Chemistry Letters. 17(11). 3038–3043. 20 indexed citations
6.
Nicoll‐Griffith, Deborah A., Carmai Seto, Yves Aubin, et al.. (2006). In vitro biotransformations of the prostaglandin D2 (DP) antagonist MK-0524 and synthesis of metabolites. Bioorganic & Medicinal Chemistry Letters. 17(2). 301–304. 14 indexed citations
7.
Fonseca, Francisco Antônio Helfenstein, Álvaro J. Ruiz, Ernesto Germán Cardona-Muñóz, et al.. (2005). The DISCOVERY PENTA study: a DIrect Statin COmparison of LDL‐C Value – an Evaluation of Rosuvastatin therapY compared with atorvastatin. Current Medical Research and Opinion. 21(8). 1307–1315. 28 indexed citations
8.
Silva, José M., Mamie Z. Li, Ken C. N. Chang, et al.. (2005). Second-generation shRNA libraries covering the mouse and human genomes. Nature Genetics. 37(11). 1281–1288. 491 indexed citations
9.
Silva, José M., et al.. (2004). RNA interference microarrays: High-throughput loss-of-function genetics in mammalian cells. Proceedings of the National Academy of Sciences. 101(17). 6548–6552. 122 indexed citations
10.
Caudy, Amy A., René F. Ketting, Scott M. Hammond, et al.. (2003). A micrococcal nuclease homologue in RNAi effector complexes. Nature. 425(6956). 411–414. 356 indexed citations
11.
Domínguez, Gemma, Javier Silva, J.M. Jurado, et al.. (2003). Prevalence of aberrant methylation of p14ARF over p16INK4a in some human primary tumors. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 530(1-2). 9–17. 71 indexed citations
12.
García, José Manuel Pacheco, Rufo Rodríguez, Javier Silva, et al.. (2003). Intratumoral Heterogeneity in Microsatellite Alterations in BRCA1 and PTEN Regions in Sporadic Colorectal Cancer. Annals of Surgical Oncology. 10(8). 876–881. 10 indexed citations
13.
Silva, José M., Gemma Domínguez, J.M. Jurado, et al.. (2003). Concomitant expression of p16INK4a and p14ARF in primary breast cancer and analysis of inactivation mechanisms. The Journal of Pathology. 199(3). 289–297. 90 indexed citations
14.
Leblanc, Yves, Patrick Roy, Zhaoyin Wang, et al.. (2002). Discovery of a potent and selective COX-2 inhibitor in the alkoxy lactone series with optimized metabolic profile. Bioorganic & Medicinal Chemistry Letters. 12(22). 3317–3320. 13 indexed citations
15.
Chauret, Nathalie, James A. Yergey, Christine Brideau, et al.. (2001). In vitro metabolism considerations, including activity testing of metabolites, in the discovery and selection of the COX-2 inhibitor etoricoxib (MK-0663). Bioorganic & Medicinal Chemistry Letters. 11(8). 1059–1062. 36 indexed citations
16.
Silva, Javier, Gemma Domínguez, José M. Silva, et al.. (2001). Analysis of genetic and epigenetic processes that influence p14ARF expression in breast cancer. Oncogene. 20(33). 4586–4590. 44 indexed citations
17.
Domínguez, Gemma, Javier Silva, José M. Silva, et al.. (2001). Different expression of P14ARF defines two groups of breast carcinomas in terms of TP73 expression and TP53 mutational status. Genes Chromosomes and Cancer. 31(2). 99–106. 10 indexed citations
18.
Domínguez, Gemma, Javier Silva, José M. Silva, et al.. (2000). Clinicopathological characteristics of breast carcinomas with allelic loss in the p73. Breast Cancer Research and Treatment. 63(1). 17–22. 7 indexed citations
19.
Silva, José M., Stephen H. Day, & Deborah A. Nicoll‐Griffith. (1999). Induction of cytochrome-P450 in cryopreserved rat and human hepatocytes. Chemico-Biological Interactions. 121(1). 49–63. 69 indexed citations
20.
Silva, José M., R Martinez Gonzalez, Mariano Provencio, et al.. (1999). Loss of heterozygosity in BRCA1 and BRCA2 markers and high‐grade malignancy in breast cancer. Breast Cancer Research and Treatment. 53(1). 9–17. 32 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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