David Shahbazian

3.6k total citations · 1 hit paper
17 papers, 2.8k citations indexed

About

David Shahbazian is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, David Shahbazian has authored 17 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Oncology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in David Shahbazian's work include PI3K/AKT/mTOR signaling in cancer (8 papers), RNA and protein synthesis mechanisms (5 papers) and Polyamine Metabolism and Applications (4 papers). David Shahbazian is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), RNA and protein synthesis mechanisms (5 papers) and Polyamine Metabolism and Applications (4 papers). David Shahbazian collaborates with scholars based in United States, Canada and France. David Shahbazian's co-authors include Nahum Sonenberg, John Blenis, Jack Taunton, Michael S. Cohen, Philippe P. Roux, John W.B. Hershey, Emmanuel Petroulakis, Armen Parsyan, Brian Raught and Hieu Vu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Reviews Molecular Cell Biology.

In The Last Decade

David Shahbazian

17 papers receiving 2.8k citations

Hit Papers

RAS/ERK Signaling Promote... 2007 2026 2013 2019 2007 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Shahbazian 2.1k 560 421 356 292 17 2.8k
Maria-Magdalena Georgescu 1.8k 0.8× 339 0.6× 495 1.2× 339 1.0× 237 0.8× 29 2.5k
Barbara Marte 2.3k 1.1× 767 1.4× 361 0.9× 484 1.4× 284 1.0× 36 3.0k
Julie L. Wilsbacher 2.2k 1.1× 700 1.3× 405 1.0× 470 1.3× 192 0.7× 31 3.1k
Timothy C. Grammer 1.7k 0.8× 526 0.9× 344 0.8× 291 0.8× 210 0.7× 20 2.4k
Florian Bassermann 1.7k 0.8× 789 1.4× 334 0.8× 432 1.2× 217 0.7× 105 2.9k
Carlo Cenciarelli 1.6k 0.8× 736 1.3× 341 0.8× 195 0.5× 355 1.2× 67 2.7k
Virginie Mieulet 1.9k 0.9× 423 0.8× 319 0.8× 326 0.9× 507 1.7× 17 2.6k
Bart Vanhaesebroeck 2.7k 1.3× 682 1.2× 652 1.5× 588 1.7× 284 1.0× 17 3.8k
Benoît Bilanges 2.0k 0.9× 378 0.7× 323 0.8× 322 0.9× 254 0.9× 27 2.9k
Gareth J. Browne 2.6k 1.2× 798 1.4× 326 0.8× 470 1.3× 550 1.9× 29 3.3k

Countries citing papers authored by David Shahbazian

Since Specialization
Citations

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

Fields of papers citing papers by David Shahbazian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Shahbazian

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

All Works

17 of 17 papers shown
1.
Nadal, Ernest, Simon Heeke, Jonathan Benzaquen, et al.. (2020). Two Patients With Advanced-Stage Lung Adenocarcinoma With Radiologic Complete Response to Nivolumab Treatment Harboring an STK11/LKB1 Mutation. JCO Precision Oncology. 4(4). 1239–1245. 11 indexed citations
2.
Murakami, Shigekazu, David Shahbazian, Rishi Surana, et al.. (2016). Yes-associated protein mediates immune reprogramming in pancreatic ductal adenocarcinoma. Oncogene. 36(9). 1232–1244. 177 indexed citations
3.
Goglia, Alexander G., Robert Delsite, Antonio N. Luz, et al.. (2014). Identification of Novel Radiosensitizers in a High-Throughput, Cell-Based Screen for DSB Repair Inhibitors. Molecular Cancer Therapeutics. 14(2). 326–342. 29 indexed citations
4.
Thumar, Jaykumar, David Shahbazian, Saadia A. Aziz, Lucia B. Jilaveanu, & Harriet M. Kluger. (2014). MEK targeting in N-RAS mutated metastatic melanoma. Molecular Cancer. 13(1). 45–45. 56 indexed citations
5.
Martineau, Yvan, Xiaoshan Wang, Tommy Alain, et al.. (2014). Control of Paip1-Eukayrotic Translation Initiation Factor 3 Interaction by Amino Acids through S6 Kinase. Molecular and Cellular Biology. 34(6). 1046–1053. 35 indexed citations
6.
Shahbazian, David, et al.. (2012). Vertical Pathway Targeting in Cancer Therapy. Advances in pharmacology. 65. 1–26. 13 indexed citations
7.
Parsyan, Armen, Yuri V. Svitkin, David Shahbazian, et al.. (2011). mRNA helicases: the tacticians of translational control. Nature Reviews Molecular Cell Biology. 12(4). 235–245. 253 indexed citations
8.
Shahbazian, David, Armen Parsyan, Emmanuel Petroulakis, John W.B. Hershey, & Nahum Sonenberg. (2010). eIF4B controls survival and proliferation and is regulated by proto-oncogenic signaling pathways. Cell Cycle. 9(20). 4106–4109. 107 indexed citations
9.
Shahbazian, David, Armen Parsyan, Emmanuel Petroulakis, et al.. (2010). Control of Cell Survival and Proliferation by Mammalian Eukaryotic Initiation Factor 4B. Molecular and Cellular Biology. 30(6). 1478–1485. 112 indexed citations
10.
Petroulakis, Emmanuel, Armen Parsyan, Ryan J.O. Dowling, et al.. (2009). p53-Dependent Translational Control of Senescence and Transformation via 4E-BPs. Cancer Cell. 16(5). 439–446. 93 indexed citations
11.
Parsyan, Armen, David Shahbazian, Yvan Martineau, et al.. (2009). The helicase protein DHX29 promotes translation initiation, cell proliferation, and tumorigenesis. Proceedings of the National Academy of Sciences. 106(52). 22217–22222. 93 indexed citations
12.
Roux, Philippe P., David Shahbazian, Hieu Vu, et al.. (2007). RAS/ERK Signaling Promotes Site-specific Ribosomal Protein S6 Phosphorylation via RSK and Stimulates Cap-dependent Translation. Journal of Biological Chemistry. 282(19). 14056–14064. 575 indexed citations breakdown →
13.
Shahbazian, David, Philippe P. Roux, Virginie Mieulet, et al.. (2006). The mTOR/PI3K and MAPK pathways converge on eIF4B to control its phosphorylation and activity. The EMBO Journal. 25(12). 2781–2791. 403 indexed citations
14.
Petroulakis, Emmanuel, Yaël Mamane, Olivier Le Bacquer, David Shahbazian, & Nahum Sonenberg. (2005). mTOR signaling: implications for cancer and anticancer therapy. British Journal of Cancer. 94(2). 195–199. 187 indexed citations
16.
Raught, Brian, Franck Peiretti, Anne‐Claude Gingras, et al.. (2004). Phosphorylation of eucaryotic translation initiation factor 4B Ser422 is modulated by S6 kinases. The EMBO Journal. 23(8). 1761–1769. 356 indexed citations
17.
Luboshits, Galia, Sima Shina, Eran Neumark, et al.. (2002). The CC chemokine RANTES in breast carcinoma progression: regulation of expression and potential mechanisms of promalignant activity.. PubMed. 62(4). 1093–102. 268 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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