Aviad Tsherniak

25.2k total citations · 2 hit papers
30 papers, 3.1k citations indexed

About

Aviad Tsherniak is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Aviad Tsherniak has authored 30 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 5 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Aviad Tsherniak's work include CRISPR and Genetic Engineering (9 papers), Protein Degradation and Inhibitors (4 papers) and Genomics and Chromatin Dynamics (4 papers). Aviad Tsherniak is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Protein Degradation and Inhibitors (4 papers) and Genomics and Chromatin Dynamics (4 papers). Aviad Tsherniak collaborates with scholars based in United States, Netherlands and United Kingdom. Aviad Tsherniak's co-authors include William C. Hahn, Francisca Vázquez, David E. Root, James M. McFarland, Jesse S. Boehm, Joshua M. Dempster, Todd R. Golub, Sandro Santagata, Matthew Meyerson and Jill P. Mesirov and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Medicine.

In The Last Decade

Aviad Tsherniak

28 papers receiving 3.0k citations

Hit Papers

align trajectories

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.

Mitochondrial metabolism promotes adaptation to proteotoxic stress

2019 436 citations Peter Tsvetkov, Alexandre Detappe et al. Nature Chemical Biology profile →
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects

2021 204 citations Joshua M. Dempster, Isabella Boyle et al. Genome biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Aviad Tsherniak United States	21	2.4k	696	492	400	356	30	3.1k
Antonella Papa United States	18	2.4k 1.0×	560 0.8×	855 1.7×	390 1.0×	247 0.7×	29	3.1k
Jung-Sik Kim United States	26	1.5k 0.6×	406 0.6×	596 1.2×	313 0.8×	303 0.9×	45	2.2k
Diana Mandelker United States	23	1.3k 0.5×	718 1.0×	867 1.8×	482 1.2×	319 0.9×	94	2.5k
Thomas Hattier United States	6	2.1k 0.9×	390 0.6×	488 1.0×	227 0.6×	333 0.9×	7	2.6k
Sidong Huang Canada	22	1.9k 0.8×	621 0.9×	1.2k 2.4×	404 1.0×	204 0.6×	44	2.9k
Joshua E. Allen United States	28	1.6k 0.7×	476 0.7×	671 1.4×	156 0.4×	393 1.1×	125	2.5k
Cheryl M. Koh United States	18	1.6k 0.7×	569 0.8×	583 1.2×	383 1.0×	251 0.7×	26	2.3k
Michalina Janiszewska United States	16	1.9k 0.8×	1.2k 1.7×	906 1.8×	416 1.0×	212 0.6×	25	2.9k
Dimpy Koul United States	33	2.6k 1.0×	892 1.3×	877 1.8×	537 1.3×	820 2.3×	63	3.7k
Kathryn O’Reilly United States	7	1.8k 0.7×	273 0.4×	563 1.1×	395 1.0×	220 0.6×	15	2.2k

Countries citing papers authored by Aviad Tsherniak

Since Specialization

Citations

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

Fields of papers citing papers by Aviad Tsherniak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aviad Tsherniak

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

All Works

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20 of 20 papers shown

Krill-Burger, John M., Joshua M. Dempster, Ashir A. Borah, et al.. (2023). Partial gene suppression improves identification of cancer vulnerabilities when CRISPR-Cas9 knockout is pan-lethal. Genome biology. 24(1). 192–192. 13 indexed citations

Pacini, Clare, Joshua M. Dempster, Isabella Boyle, et al.. (2021). Integrated cross-study datasets of genetic dependencies in cancer. Nature Communications. 12(1). 1661–1661. 145 indexed citations

Warren, Allison, Andrew Jones, Tsukasa Shibue, et al.. (2021). Global computational alignment of tumor and cell line transcriptional profiles. Nature Communications. 12(1). 22–22. 72 indexed citations

Dempster, Joshua M., Isabella Boyle, Francisca Vázquez, et al.. (2021). Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects. Genome biology. 22(1). 343–343. 204 indexed citations breakdown →

Price, Colles, Stanley Gill, Zandra V. Ho, et al.. (2019). Genome-Wide Interrogation of Human Cancers Identifies EGLN1 Dependency in Clear Cell Ovarian Cancers. Cancer Research. 79(10). 2564–2579. 28 indexed citations

Tsvetkov, Peter, Alexandre Detappe, Kai Cai, et al.. (2019). Mitochondrial metabolism promotes adaptation to proteotoxic stress. Nature Chemical Biology. 15(7). 681–689. 436 indexed citations breakdown →

Durbin, Adam D., Mark W. Zimmerman, Neekesh V. Dharia, et al.. (2018). Selective gene dependencies in MYCN-amplified neuroblastoma include the core transcriptional regulatory circuitry. Nature Genetics. 50(9). 1240–1246. 145 indexed citations

Stolte, Björn, Amanda Balboni Iniguez, Neekesh V. Dharia, et al.. (2018). Genome-scale CRISPR-Cas9 screen identifies druggable dependencies in TP53 wild-type Ewing sarcoma. The Journal of Experimental Medicine. 215(8). 2137–2155. 46 indexed citations

Gannon, Hugh, Tao Zou, Michael K. Kießling, et al.. (2018). Identification of ADAR1 adenosine deaminase dependency in a subset of cancer cells. Nature Communications. 9(1). 5450–5450. 159 indexed citations

10.

Pan, Joshua, Robin M. Meyers, Brittany C. Michel, et al.. (2018). Interrogation of Mammalian Protein Complex Structure, Function, and Membership Using Genome-Scale Fitness Screens. Cell Systems. 6(5). 555–568.e7. 92 indexed citations

11.

Zhang, Xiaoyang, Peter S. Choi, Joshua M. Francis, et al.. (2017). Somatic Superenhancer Duplications and Hotspot Mutations Lead to Oncogenic Activation of the KLF5 Transcription Factor. Cancer Discovery. 8(1). 108–125. 85 indexed citations

12.

Hsu, Jessie Hao-Ru, Guillaume Adelmant, Jialiang Huang, et al.. (2017). PRMT1-Mediated Translation Regulation Is a Crucial Vulnerability of Cancer. Cancer Research. 77(17). 4613–4625. 26 indexed citations

13.

Tóthová, Zuzana, John M. Krill-Burger, Katerina D. Popova, et al.. (2017). Multiplex CRISPR/Cas9-Based Genome Editing in Human Hematopoietic Stem Cells Models Clonal Hematopoiesis and Myeloid Neoplasia. Cell stem cell. 21(4). 547–555.e8. 63 indexed citations

14.

Rosenbluh, Joseph, Han Xu, William F. Harrington, et al.. (2017). Complementary information derived from CRISPR Cas9 mediated gene deletion and suppression. Nature Communications. 8(1). 15403–15403. 75 indexed citations

15.

Howard, Thomas P., Francisca Vázquez, Aviad Tsherniak, et al.. (2016). Functional Genomic Characterization of Cancer Genomes. Cold Spring Harbor Symposia on Quantitative Biology. 81. 237–246. 13 indexed citations

16.

Gannon, Hugh, Nathan O. Kaplan, Aviad Tsherniak, et al.. (2015). Identification of an “Exceptional Responder” Cell Line to MEK1 Inhibition: Clinical Implications for MEK-Targeted Therapy. Molecular Cancer Research. 14(2). 207–215. 19 indexed citations

17.

Kennedy, Alyssa L., Mounica Vallurupalli, Brian D. Crompton, et al.. (2015). Functional, chemical genomic, and super-enhancer screening identify sensitivity to cyclin D1/CDK4 pathway inhibition in Ewing sarcoma. Oncotarget. 6(30). 30178–30193. 71 indexed citations

18.

Nijhawan, Deepak, Travis Zack, Yin Ren, et al.. (2012). Cancer Vulnerabilities Unveiled by Genomic Loss. Cell. 150(4). 842–854. 161 indexed citations

19.

Shao, Diane D., Aviad Tsherniak, Shuba Gopal, et al.. (2012). ATARiS: Computational quantification of gene suppression phenotypes from multisample RNAi screens. Genome Research. 23(4). 665–678. 78 indexed citations

20.

Tamayo, Pablo, Yoon-Jae Cho, Aviad Tsherniak, et al.. (2011). Predicting Relapse in Patients With Medulloblastoma by Integrating Evidence From Clinical and Genomic Features. Journal of Clinical Oncology. 29(11). 1415–1423. 54 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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