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

Ariel Feiglin

Harvard University

ORCID: 0000-0003-2862-7668
MedicineChemistryBiochemistry, Genetics and Molecular Biology

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 3%percentile
1.4Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders

Cell Systems(2017)10.1016/j.cels.2017.06.016
Top 15%
1.4DataRank
Top 15%24 citations

Bryce K. Allen, Isaac S. Kohane, Sek Won Kong, Ariel Feiglin

Papers

Driven by 6 papers — median percentile 85. Top paper: “Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders”.

Comprehensive Analysis of Tissue-wide Gene Expression and Phenotype Data Reveals Tissues Affected in Rare Genetic Disorders

Cell Systems(2017)10.1016/j.cels.2017.06.016
Top 15%
1.4DataRank
Top 15%24 citations

Bryce K. Allen, Isaac S. Kohane, Sek Won Kong, Ariel Feiglin

Selective CDK7 Inhibition Suppresses Cell Cycle Progression and MYC Signaling While Enhancing Apoptosis in Therapy-resistant Estrogen Receptor–positive Breast Cancer

Clinical Cancer Research(2024)10.1158/1078-0432.ccr-23-2975
N/A
0.907DataRank · unranked
35 citations

Agostina Nardone, Douglas Russo, Zsuzsanna Nagy, Capucine Héraud, Albert Grinshpun +26 more

CoBRA: Containerized Bioinformatics Workflow for Reproducible ChIP/ATAC-Seq Analysis

Genomics Proteomics & Bioinformatics(2021)10.1016/j.gpb.2020.11.007
N/A
0.553DataRank · unranked
39 citations

Avery Feit, Ariel Feiglin, Yingtian Xie, Nikolas Kesten, Len Taing +10 more

CoBRA: Containerized Bioinformatics workflow for Reproducible ChIP/ATAC-seq Analysis - from differential peak calling to pathway analysis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.06.367409
N/A
0.241DataRank · unranked
4 citations

Avery Feit, Ariel Feiglin, Yingtian Xie, Nikolas Kesten, Len Taing +10 more

A Distinct Chromatin State Drives Therapeutic Resistance in Invasive Lobular Breast Cancer

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.29.486217
N/A
0.130DataRank · unranked
1 citations

Xintao Qiu, Ariel Feiglin, Xiaoyong Fu, Sándor Spisák, Avery Feit +20 more

DNA and RNA base editors can correct the majority of pathogenic single nucleotide variants

npj Genomic Medicine(2024)10.1038/s41525-024-00397-w
N/A
0DataRank · unranked
23 citations

Rona Merdler-Rabinowicz, David Gorelik, Ariel Feiglin, Ilana Buchumenski, Lipika R. Pal +4 more