Yardena Samuels

22.1k total citations · 5 hit papers
78 papers, 11.7k citations indexed

About

Yardena Samuels is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Yardena Samuels has authored 78 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 40 papers in Oncology and 18 papers in Immunology. Recurrent topics in Yardena Samuels's work include Melanoma and MAPK Pathways (19 papers), Immunotherapy and Immune Responses (15 papers) and PI3K/AKT/mTOR signaling in cancer (14 papers). Yardena Samuels is often cited by papers focused on Melanoma and MAPK Pathways (19 papers), Immunotherapy and Immune Responses (15 papers) and PI3K/AKT/mTOR signaling in cancer (14 papers). Yardena Samuels collaborates with scholars based in United States, Israel and United Kingdom. Yardena Samuels's co-authors include Victor E. Velculescu, Bert Vogelstein, Kenneth W. Kinzler, Steve Szabo, Natalie Silliman, Janine Ptak, Steven A. Rosenberg, Hai Yan, Kajsa Ericson and Alberto Bardelli and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yardena Samuels

78 papers receiving 11.5k citations

Hit Papers

High Frequency of Mutations of the PIK3CA Gene in Human C... 2004 2026 2011 2018 2004 2013 2005 2004 2022 500 1000 1.5k 2.0k 2.5k

Peers

Yardena Samuels
Andrea L. Richardson United States
J. William Harbour United States
Roger S. Lo United States
Gideon Bollag United States
Morag Park Canada
Elisa de Stanchina United States
Yevgeniy Antipin United States
Martin McMahon United States
Yardena Samuels
Citations per year, relative to Yardena Samuels Yardena Samuels (= 1×) peers Joan Seoane

Countries citing papers authored by Yardena Samuels

Since Specialization
Citations

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

Fields of papers citing papers by Yardena Samuels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yardena Samuels

This figure shows the co-authorship network connecting the top 25 collaborators of Yardena Samuels. A scholar is included among the top collaborators of Yardena Samuels 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 Yardena Samuels. Yardena Samuels 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.
O’Brien, Hugh, Max Salm, Laura T. Morton, et al.. (2023). Breaking the performance ceiling for neoantigen immunogenicity prediction. Nature Cancer. 4(12). 1618–1621. 5 indexed citations
2.
Salomon, Nadja, et al.. (2023). The landscape of T cell antigens for cancer immunotherapy. Nature Cancer. 4(7). 937–954. 67 indexed citations
3.
Levy, Ronen, Wayne Paes, Osnat Bartok, et al.. (2023). Large-Scale Immunopeptidome Analysis Reveals Recurrent Posttranslational Splicing of Cancer- and Immune-Associated Genes. Molecular & Cellular Proteomics. 22(4). 100519–100519. 11 indexed citations
4.
Wolf, Yochai & Yardena Samuels. (2022). Intratumor Heterogeneity and Antitumor Immunity Shape One Another Bidirectionally. Clinical Cancer Research. 28(14). 2994–3001. 28 indexed citations
5.
Mehrabadi, Farid Rashidi, Salem Malikić, Osnat Bartok, et al.. (2020). PhISCS-BnB: a fast branch and bound algorithm for the perfect tumor phylogeny reconstruction problem. Bioinformatics. 36(Supplement_1). i169–i176. 14 indexed citations
6.
Arafeh, Rand, et al.. (2020). MEK Inhibition Reverses Aberrant Signaling in Melanoma Cells through Reorganization of NRas and BRAF in Self Nanoclusters. Cancer Research. 81(5). 1279–1292. 2 indexed citations
7.
Revach, Or‐Yam, Oded Sandler, Yardena Samuels, & Benjamin Geiger. (2019). Cross-Talk between Receptor Tyrosine Kinases AXL and ERBB3 Regulates Invadopodia Formation in Melanoma Cells. Cancer Research. 79(10). 2634–2648. 34 indexed citations
8.
Madigan, James P., Jared J. Gartner, Jimmy Lin, et al.. (2019). Exome Sequencing of ABCB5 Identifies Recurrent Melanoma Mutations that Result in Increased Proliferative and Invasive Capacities. Journal of Investigative Dermatology. 139(9). 1985–1992.e10. 9 indexed citations
9.
Kalaora, Shelly & Yardena Samuels. (2018). Cancer Exome-Based Identification of Tumor Neo-Antigens Using Mass Spectrometry. Methods in molecular biology. 1884. 203–214. 5 indexed citations
10.
Gotea, Valer, Jared J. Gartner, Nouar Qutob, Laura Elnitski, & Yardena Samuels. (2015). The functional relevance of somatic synonymous mutations in melanoma and other cancers. Pigment Cell & Melanoma Research. 28(6). 673–684. 41 indexed citations
11.
Lu, Yong‐Chen, Xin Yao, Jessica S. Crystal, et al.. (2014). Efficient Identification of Mutated Cancer Antigens Recognized by T Cells Associated with Durable Tumor Regressions. Clinical Cancer Research. 20(13). 3401–3410. 304 indexed citations
12.
Parker, Stephen C.J., Jared J. Gartner, Xiaomu Wei, et al.. (2012). Mutational Signatures of De-Differentiation in Functional Non-Coding Regions of Melanoma Genomes. PLoS Genetics. 8(8). e1002871–e1002871. 8 indexed citations
13.
Solomon, David A., Taeyeon Kim, Laura A. Díaz-Martínez, et al.. (2011). Mutational Inactivation of STAG2 Causes Aneuploidy in Human Cancer. Science. 333(6045). 1039–1043. 311 indexed citations
14.
Wei, Xiaomu, Todd D. Prickett, Cristina G. Viloria, et al.. (2010). Mutational and Functional Analysis Reveals ADAMTS18 Metalloproteinase as a Novel Driver in Melanoma. Molecular Cancer Research. 8(11). 1513–1525. 41 indexed citations
15.
Ericson, Kajsa, Christine Gan, Ian Cheong, et al.. (2010). Genetic inactivation of AKT1 , AKT2 , and PDPK1 in human colorectal cancer cells clarifies their roles in tumor growth regulation. Proceedings of the National Academy of Sciences. 107(6). 2598–2603. 106 indexed citations
16.
Solomon, David A., Jung-Sik Kim, Julia C. Cronin, et al.. (2008). Mutational Inactivation of PTPRD in Glioblastoma Multiforme and Malignant Melanoma. Cancer Research. 68(24). 10300–10306. 102 indexed citations
17.
Huang, Chuan‐Hsiang, Diana Mandelker, Oleg Schmidt‐Kittler, et al.. (2007). The Structure of a Human p110α/p85α Complex Elucidates the Effects of Oncogenic PI3Kα Mutations. Science. 318(5857). 1744–1748. 446 indexed citations
18.
Samuels, Yardena & Kajsa Ericson. (2005). Oncogenic PI3K and its role in cancer. Current Opinion in Oncology. 18(1). 77–82. 415 indexed citations
19.
Samuels, Yardena, Luis A. Díaz, Oleg Schmidt‐Kittler, et al.. (2005). Mutant PIK3CA promotes cell growth and invasion of human cancer cells. Cancer Cell. 7(6). 561–573. 727 indexed citations breakdown →
20.
Samuels, Yardena, Zhenghe Wang, Alberto Bardelli, et al.. (2004). High Frequency of Mutations of the PIK3CA Gene in Human Cancers. Science. 304(5670). 554–554. 2708 indexed citations breakdown →

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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