Aviad Tsherniak

25.8k citations
31 papers · 3.2k · 3 hit papers · h-index 22

Impact in

Papers in

    • CRISPR and Genetic Engineering 8
    • Protein Degradation and Inhibitors 4
    • Ubiquitin and proteasome pathways 3
    • Single-cell and spatial transcriptomics 3
    • RNA Research and Splicing 3
    • Epigenetics and DNA Methylation 3
    • Genomics and Chromatin Dynamics 3
    • Advanced biosensing and bioanalysis techniques 3

Aviad Tsherniak

29 papers receiving 3.2k citations

Aviad Tsherniak's Hit Papers

Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects 2021 · 213 citations
2130+5+10Years since publication100200300400500

Peers

Aviad Tsherniak
Comparison fields: 5 of 101
  • Cancer Research 606
  • Genetics 346
  • Molecular Biology 2.3k
  • Oncology 444
  • Pulmonary and Respiratory Medicine 380
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Citations per year

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-authors

The 25 scholars most cited alongside Aviad Tsherniak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aviad Tsherniak Line = papers co-authored together Aviad Tsherniak links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Integrative Genomic Analysis of Medulloblastoma Identifies a Molecular Subgroup That Drives Poor Clinical Outcome
Hit paper breakdown →
2010501
2
Mitochondrial metabolism promotes adaptation to proteotoxic stress
Hit paper breakdown →
2019463
3 2015307
4 2018221
5
Chronos: a cell population dynamics model of CRISPR experiments that improves inference of gene fitness effects
Hit paper breakdown →
2021213
6 2018165
7 2012165
8 2021158
9 2018151
10 201894
11 201786
12 201279
13 202176
14 201776
15 201576
16 201768
17 201155
18 201847
19 201740
20 201929

About Aviad Tsherniak

Aviad Tsherniak is a scholar working on Molecular Biology, Oncology, Hematology, Genetics and Cancer Research, having authored 31 papers that have together received 3.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Protein Degradation and Inhibitors (4 papers), Ubiquitin and proteasome pathways (3 papers), Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (3 papers), Genomics and Chromatin Dynamics (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Cancer Research (606 citations), Genetics (346 citations), Molecular Biology (2.3k citations), Oncology (444 citations) and Pulmonary and Respiratory Medicine (380 citations). Aviad Tsherniak has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent 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. Their work appears in journals such as Nature Communications, Blood, Genome biology, Cancer Research and Cell Systems.

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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