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

Matthew R. Stone

Regulus Therapeutics (United States)

ORCID: 0000-0002-6575-7253

Also affiliated with University of Wisconsin–Madison, Wisconsin Institutes for Discovery

Biochemistry, Genetics and Molecular BiologyNeuroscience

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 1%percentile
8.9Author 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 structural variation reference for medical and population genetics

Nature(2020)10.1038/s41586-020-2287-8
Top 3%
6.7DataRank
Top 3%1180 citations

Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli +201 more

Papers

Driven by 8 papers — median percentile 94. Top paper: “A structural variation reference for medical and population genetics”.

A structural variation reference for medical and population genetics

Nature(2020)10.1038/s41586-020-2287-8
Top 3%
6.7DataRank
Top 3%1180 citations

Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli +201 more

An open resource of structural variation for medical and population genetics

bioRxiv (Cold Spring Harbor Laboratory)(2019)10.1101/578674
Top 9%
2.2DataRank
Top 9%44 citations

Harrison Brand, Konrad J. Karczewski, Xuefang Zhao, Jessica Alföldi, Laurent C. Francioli +37 more

BayesSpace enables the robust characterization of spatial gene expression architecture in tissue sections at increased resolution

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.04.283812
N/A
0DataRank · unranked
22 citations

Matthew R. Stone, Xing Ren, Thomas H. Pulliam, Paul Nghiem, Jason H. Bielas +2 more

Spatial transcriptomics at subspot resolution with BayesSpace

Nature Biotechnology(2021)10.1038/s41587-021-00935-2
N/A
0DataRank · unranked
1049 citations

Matthew R. Stone, Xing Ren, Jamie Guenthoer, Kimberly S. Smythe, Thomas H. Pulliam +7 more

Identifying strengths and weaknesses of methods for computational network inference from single cell RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.01.446671
N/A
0DataRank · unranked
11 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more

Identifying strengths and weaknesses of methods for computational network inference from single-cell RNA-seq data

G3 Genes Genomes Genetics(2023)10.1093/g3journal/jkad004
N/A
0DataRank · unranked
53 citations

Alireza Fotuhi Siahpirani, Jiaxin Li, Saptarshi Pyne, Matthew R. Stone, Viswesh Periyasamy +3 more

TRAFfic signals: High-throughput CAR discovery in NK cells reveals novel TRAF-binding endodomains that drive enhanced persistence and cytotoxicity

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.02.551530
N/A
0DataRank · unranked
4 citations

Aye T. Chen, Matthew R. Stone, Lan Guo, Brian J. Belmont, Rebekah Turk +6 more

Functional annotation of rare structural variation in the human brain

Nature Communications(2020)10.1038/s41467-020-16736-1
N/A
0DataRank · unranked
54 citations

Xuefang Zhao, Mary Lauren Benton, Thanneer M. Perumal, Ryan L. Collins, Gabriel E. Hoffman +65 more