🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Shushan Toneyan

Cold Spring Harbor Laboratory

ORCID: 0000-0002-1365-3241
Biochemistry, Genetics and Molecular BiologyMathematics

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

0in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Deconvolution of expression for nascent RNA-sequencing data (DENR) highlights pre-RNA isoform diversity in human cells”.

Deconvolution of expression for nascent RNA-sequencing data (DENR) highlights pre-RNA isoform diversity in human cells

Bioinformatics(2021)10.1093/bioinformatics/btab582
N/A
0DataRank · unranked
9 citations

Noah Dukler, Gilad Barshad, Shushan Toneyan, Charles G. Danko, Adam Siepel +1 more

Deconvolution of Expression for Nascent RNA Sequencing Data (DENR) Highlights Pre-RNA Isoform Diversity in Human Cells

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.16.435537
N/A
0DataRank · unranked
4 citations

Noah Dukler, Gilad Barshad, Shushan Toneyan, Charles G. Danko, Adam Siepel +1 more

Evaluating deep learning for predicting epigenomic profiles

Nature Machine Intelligence(2022)10.1038/s42256-022-00570-9
N/A
0DataRank · unranked
70 citations

Ziqi Tang, Peter K. Koo, Shushan Toneyan

Evaluating deep learning for predicting epigenomic profiles

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.29.490059
N/A
0DataRank · unranked
15 citations

Ziqi Tang, Peter K. Koo, Shushan Toneyan

EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.03.515117
N/A
0DataRank · unranked
2 citations

Ziqi Tang, Shushan Toneyan, Peter K. Koo, Nicholas Keone Lee

EvoAug: improving generalization and interpretability of genomic deep neural networks with evolution-inspired data augmentations

Genome biology(2023)10.1186/s13059-023-02941-w
N/A
0DataRank · unranked
39 citations

Ziqi Tang, Shushan Toneyan, Peter K. Koo, Nicholas Keone Lee

ETV6 dependency in Ewing sarcoma by antagonism of EWS-FLI1-mediated enhancer activation

Nature Cell Biology(2023)10.1038/s41556-022-01060-1
N/A
0DataRank · unranked
34 citations

Xue‐Yan He, Xiaoli Wu, Yuhan Huang, Shushan Toneyan, Taehoon Ha +7 more

Analysis of single-cell CRISPR perturbations indicates that enhancers act multiplicatively and provides limited evidence for epistatic-like interactions

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.26.538501
N/A
0DataRank · unranked
5 citations

Karthik Guruvayurappan, Shushan Toneyan, Hsiuyi V. Chen, Aaron R. Chen, Peter K. Koo +2 more

Interpreting Cis -Regulatory Interactions from Large-Scale Deep Neural Networks for Genomics

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.03.547592
N/A
0DataRank · unranked
4 citations

Peter K. Koo, Shushan Toneyan

Interpreting cis-regulatory interactions from large-scale deep neural networks

Nature Genetics(2024)10.1038/s41588-024-01923-3
N/A
0DataRank · unranked
24 citations

Peter K. Koo, Shushan Toneyan

Analysis of single-cell CRISPR perturbations indicates that enhancers predominantly act multiplicatively

Cell Genomics(2024)10.1016/j.xgen.2024.100672
N/A
0DataRank · unranked
5 citations

Karthik Guruvayurappan, Shushan Toneyan, Hsiuyi V. Chen, Aaron R. Chen, Peter K. Koo +2 more

Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data

Nucleic Acids Research(2025)10.1093/nar/gkaf092
N/A
0DataRank · unranked
3 citations

Yixin Zhao, R. P. Hassett, Shushan Toneyan, Peter K. Koo, Adam Siepel +1 more