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

Kaitlin U. Laverty

Memorial Sloan Kettering Cancer Center

ORCID: 0009-0004-4341-4665

Also affiliated with University of Toronto, Donnelly College, Kettering University, Amgen (Canada), Vector Institute

Biochemistry, Genetics and Molecular BiologyImmunology and Microbiology

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 4%percentile
0.707Author 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.

A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function

Nature Biotechnology(2025)10.1038/s41587-025-02733-6
Top 43%
0.439DataRank
Top 43%13 citations

Debashish Ray, Kaitlin U. Laverty, Cyrus L. Tam, Mihai Albu, Hong Zheng +11 more

Papers

Driven by 7 papers — median percentile 49. Top paper: “A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function”.

A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function

Nature Biotechnology(2025)10.1038/s41587-025-02733-6
Top 43%
0.439DataRank
Top 43%13 citations

Debashish Ray, Kaitlin U. Laverty, Cyrus L. Tam, Mihai Albu, Hong Zheng +11 more

Cross-platform motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors

Communications Biology(2025)10.1038/s42003-025-08909-9
Top 58%
0.269DataRank
Top 58%5 citations

Ivan Kozin, Sergey Abramov, Alexandr Boytsov, Arttu Jolma, Mihai Albu +46 more

RNA-binding proteins that lack canonical RNA-binding domains are rarely sequence-specific

Scientific Reports(2023)10.1038/s41598-023-32245-9
N/A
0DataRank · unranked
56 citations

Kaitlin U. Laverty, Arttu Jolma, Kate Nie, Reuben Samson, Sara E. Pour +13 more

Cross-platform DNA motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.11.619379
N/A
0DataRank · unranked
1 citations

Ivan Kozin, Sergey Abramov, Alexandr Boytsov, Arttu Jolma, Mihai Albu +29 more

PRIESSTESS: interpretable, high-performing models of the sequence and structure preferences of RNA-binding proteins

Nucleic Acids Research(2022)10.1093/nar/gkac694
N/A
0DataRank · unranked
33 citations

Arttu Jolma, Sara E. Pour, Hong Zheng, Debashish Ray, Quaid Morris +2 more

CisBP-RNA: a web resource for eukaryotic RNA-binding proteins and their motifs

Nucleic Acids Research(2025)10.1093/nar/gkaf1081
N/A
0DataRank · unranked
12 citations

Mihai Albu, Xiaoting Chen, Alexander Sasse, Kaitlin U. Laverty, Debashish Ray +7 more

mRNABench: A curated benchmark for mature mRNA property and function prediction

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.07.05.662870
N/A
0DataRank · unranked
3 citations

Taykhoom Dalal, Philip Fradkin, Divya Koyyalagunta, Simran Chhabria, Andreas Jung +8 more