Deborah Silvera

1.6k total citations · 1 hit paper
14 papers, 1.3k citations indexed

About

Deborah Silvera is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Deborah Silvera has authored 14 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Cancer Research. Recurrent topics in Deborah Silvera's work include Viral Infections and Immunology Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Deborah Silvera is often cited by papers focused on Viral Infections and Immunology Research (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers) and Viral gastroenteritis research and epidemiology (3 papers). Deborah Silvera collaborates with scholars based in United States, Ireland and Israel. Deborah Silvera's co-authors include Robert J. Schneider, Silvia C. Formenti, Raul Andino, Andrea V. Gamarnik, Rezina Arju, Tsivia Hochman, Ladan Zolfaghari, Paul H. Levine, Judith D. Goldberg and Farbod Darvishian and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Deborah Silvera

14 papers receiving 1.3k citations

Hit Papers

Translational control in cancer 2010 2026 2015 2020 2010 200 400 600
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.

  1. Translational control in cancer
    2010 645 citations Deborah Silvera, Silvia C. Formenti et al. Nature reviews. Cancer profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Silvera United States 11 941 227 199 179 118 14 1.3k
Rafael Cuesta United States 17 1.2k 1.3× 115 0.5× 129 0.6× 129 0.7× 60 0.5× 19 1.4k
Peter Kronenberger Belgium 13 533 0.6× 119 0.5× 120 0.6× 311 1.7× 90 0.8× 25 835
Rudolf Hauptmann Austria 15 541 0.6× 147 0.6× 136 0.7× 84 0.5× 85 0.7× 16 1.0k
Roscoe Klinck Canada 23 2.0k 2.1× 132 0.6× 173 0.9× 389 2.2× 34 0.3× 37 2.2k
Alessandro Natoni Ireland 18 701 0.7× 269 1.2× 87 0.4× 90 0.5× 114 1.0× 43 1.1k
Kristine L. Skele United States 7 658 0.7× 283 1.2× 55 0.3× 242 1.4× 80 0.7× 8 1.2k
Raquel Blanco Spain 15 1.4k 1.4× 403 1.8× 52 0.3× 209 1.2× 105 0.9× 18 1.9k
Guang‐Jer Wu United States 23 865 0.9× 262 1.2× 64 0.3× 128 0.7× 38 0.3× 48 1.3k
Genaro Pimienta United States 14 518 0.6× 134 0.6× 64 0.3× 132 0.7× 37 0.3× 19 775
Mathieu Durand Canada 19 1.4k 1.5× 81 0.4× 53 0.3× 260 1.5× 56 0.5× 26 1.6k

Countries citing papers authored by Deborah Silvera

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Silvera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Silvera

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

All Works

14 of 14 papers shown
1.
Silvera, Deborah, Amanda Ernlund, Rezina Arju, et al.. (2016). mTORC1 and -2 Coordinate Transcriptional and Translational Reprogramming in Resistance to DNA Damage and Replicative Stress in Breast Cancer Cells. Molecular and Cellular Biology. 37(5). 32 indexed citations
2.
Jhaveri, Komal, Eleonora Teplinsky, Deborah Silvera, et al.. (2015). Hyperactivated mTOR and JAK2/STAT3 Pathways: Molecular Drivers and Potential Therapeutic Targets of Inflammatory and Invasive Ductal Breast Cancers After Neoadjuvant Chemotherapy. Clinical Breast Cancer. 16(2). 113–122.e1. 50 indexed citations
3.
Teplinsky, Eleonora, Rezina Arju, Shah Giashuddin, et al.. (2013). Hyperactivated mTOR and JAK2/STAT3 pathways: Crucial molecular drivers and potential therapeutic targets of inflammatory breast cancer (IBC).. Journal of Clinical Oncology. 31(26_suppl). 60–60. 1 indexed citations
4.
Arslan, Alan A., Deborah Silvera, Rezina Arju, et al.. (2012). Atypical ezrin localization as a marker of locally advanced breast cancer. Breast Cancer Research and Treatment. 134(3). 981–988. 19 indexed citations
5.
Connolly, Eileen P., et al.. (2011). TORC1/2 Inhibition with Concurrent Radiation Controls Inflammatory Breast Cancer in a Preclinical Animal Model Through Selective Blockade of Translation. International Journal of Radiation Oncology*Biology*Physics. 81(2). S751–S751. 1 indexed citations
6.
Silvera, Deborah, Silvia C. Formenti, & Robert J. Schneider. (2010). Translational control in cancer. Nature reviews. Cancer. 10(4). 254–266. 645 indexed citations breakdown →
7.
Connolly, Eileen P., Deborah Silvera, Michelle L. Badura, et al.. (2010). Inflammatory Breast Cancer Radio-resistance and its Cancer Stem Cell Population are Oppositely Controlled by Translation Factor eIF4G. International Journal of Radiation Oncology*Biology*Physics. 78(3). S221–S221. 1 indexed citations
8.
Silvera, Deborah & Robert J. Schneider. (2009). Inflammatory breast cancer cells are constitutively adapted to hypoxia. Cell Cycle. 8(19). 3091–3096. 42 indexed citations
9.
Silvera, Deborah, Rezina Arju, Farbod Darvishian, et al.. (2009). Essential role for eIF4GI overexpression in the pathogenesis of inflammatory breast cancer. Nature Cell Biology. 11(7). 903–908. 192 indexed citations
10.
Silvera, Deborah, et al.. (2006). Effect of Ku proteins on IRES‐mediated translation. Biology of the Cell. 98(6). 353–361. 12 indexed citations
11.
Andino, Raul, et al.. (1999). Intracellular determinants of picornavirus replication. Trends in Microbiology. 7(2). 76–82. 68 indexed citations
12.
Silvera, Deborah, Andrea V. Gamarnik, & Raul Andino. (1999). The N-terminal K Homology Domain of the Poly(rC)-binding Protein Is a Major Determinant for Binding to the Poliovirus 5′-Untranslated Region and Acts as an Inhibitor of Viral Translation. Journal of Biological Chemistry. 274(53). 38163–38170. 58 indexed citations
13.
Silvera, Deborah, et al.. (1997). Toward a poliovirus-based simian immunodeficiency virus vaccine: correlation between genetic stability and immunogenicity. Journal of Virology. 71(10). 7841–7850. 40 indexed citations
14.
Andino, Raul, et al.. (1994). Engineering poliovirus as a vaccine vector for the expression of diverse antigens. Science. 265(5177). 1448–1451. 122 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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