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

Rebecca Keener

Johns Hopkins University

ORCID: 0000-0001-9031-6866
MedicineBiochemistry, 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 2%percentile
2.1Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed

Cell Genomics(2022)10.1016/j.xgen.2021.100084
Top 10%
2.1DataRank
Top 10%82 citations

Matthew P. Conomos, Rebecca Keener, Kruthika Iyer, Joshua S. Weinstock, Lisa R. Yanek +95 more

Papers

Driven by 13 papers — median percentile 45. Top paper: “Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed”.

Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed

Cell Genomics(2022)10.1016/j.xgen.2021.100084
Top 10%
2.1DataRank
Top 10%82 citations

Matthew P. Conomos, Rebecca Keener, Kruthika Iyer, Joshua S. Weinstock, Lisa R. Yanek +95 more

Human telomere length is chromosome end–specific and conserved across individuals

Science(2024)10.1126/science.ado0431
N/A
0.663DataRank · unranked
82 citations

Aljona Groot, Vienna Huso, Ramin Kahidi, Kar‐Tong Tan, Samantha L. Sholes +7 more

Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes

Nature Communications(2024)10.1038/s41467-024-48394-y
N/A
0.330DataRank · unranked
8 citations

Surya B. Chhetri, Carla J. Connelly, Margaret A. Taub, Matthew P. Conomos, Joshua S. Weinstock +95 more

Human telomere length is chromosome specific and conserved across individuals

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.12.21.572870
N/A
0.241DataRank · unranked
4 citations

Aljona Groot, Vienna Huso, Ramin Kahidi, Kar-Tong Tan, Rebecca Keener +8 more

Validation of human telomere length trans-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as novel human telomere length regulation genes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.07.12.548702
N/A
0.104DataRank · unranked
1 citations

Surya B. Chhetri, Carla J. Connelly, Margaret A. Taub, Matthew P. Conomos, Joshua S. Weinstock +93 more

Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene co-expression networks

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.01.20.576447
N/A
0DataRank · unranked
0 citations

Princy Parsana, Rebecca Keener, Kasper D. Hansen, Alexis Battle, Prashanthi Ravichandran

Genotype inference from aggregated chromatin accessibility data reveals genetic regulatory mechanisms

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.04.610850
Top 100%
0DataRank
Top 100%0 citations

Yuan He, Nae-Chyun Chen, Joseph K. Pickrell, Jeremiah H. Li, Max F. Dudek +6 more

Validation of human telomere length multi-ancestry meta-analysis association signals identifies POP5 and KBTBD6 as human telomere length regulation genes

UNC Libraries(2024)10.17615/vs68-ca81
N/A
0DataRank · unranked
0 citations

Ryan L. Minster, Fernando D. Martínez, Dawood Darbar, Juan M. Peralta, Barbara A. Konkle +93 more

Aggregation of recount3 RNA-seq data improves inference of consensus and tissue-specific gene coexpression networks

Genome Research(2025)10.1101/gr.280808.125
N/A
0DataRank · unranked
0 citations

Princy Parsana, Rebecca Keener, Kasper D. Hansen, Alexis Battle, Prashanthi Ravichandran

Single-cell allele-specific expression analysis reveals dynamic and cell-type-specific regulatory effects

Nature Communications(2023)10.1038/s41467-023-42016-9
N/A
0DataRank · unranked
25 citations

Benjamin J. Strober, Joshua M Popp, Rebecca Keener, Hongkai Ji, Alexis Battle +1 more

Model-X knockoffs reveal data-dependent limits on regulatory network identification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.23.541948
N/A
0DataRank · unranked
3 citations

Rebecca Keener, Patrick Cahan, Alexis Battle, Eric M. Kernfeld

Transcriptome data are insufficient to control false discoveries in regulatory network inference

Cell Systems(2024)10.1016/j.cels.2024.07.006
N/A
0DataRank · unranked
18 citations

Rebecca Keener, Patrick Cahan, Alexis Battle, Eric M. Kernfeld

Sparse matrix factorization robust to sample sharing across GWAS reveals interpretable genetic components

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.12.623313
N/A
0DataRank · unranked
1 citations

Joshua S. Weinstock, Rebecca Keener, Surya B. Chhetri, Marios Arvanitis, Alexis Battle +1 more