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

Letizia Vestito

Queen Mary University of London

ORCID: 0000-0003-0008-936X

Also affiliated with William Harvey Research Institute

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 6%percentile
0.203Author DataRank

Indexed papers

3in 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 3 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.

Dimensional reduction of phenotypes from 53 000 mouse models reveals a diverse landscape of gene function

Bioinformatics Advances(2021)10.1093/bioadv/vbab026
Top 65%
0.203DataRank
Top 65%2 citations

Letizia Vestito, Damian Smedley, Tomasz Konopka

Papers

Driven by 8 papers — median percentile 0. Top paper: “Rare disease gene association discovery in the 100,000 GenomesProject”.

Rare disease gene association discovery in the 100,000 GenomesProject

Nature(2025)10.1038/s41586-025-08623-w
N/A
0.515DataRank · unranked
18 citations

Letizia Vestito, Emma Magavern, Julius O.B. Jacobsen, Gavin Arno, Elijah R. Behr +56 more

Translational profiling of mouse dopaminoceptive neurons reveals region-specific gene expression, exon usage, and striatal prostaglandin E2 modulatory effects

Molecular Psychiatry(2022)10.1038/s41380-022-01439-4
N/A
0.510DataRank · unranked
29 citations

Albert Giralt, Lieng Taing, Evelien H.S. Schut, Laura F. Supiot, Laia Castell +21 more

Efficient reinterpretation of rare disease cases using Exomiser

npj Genomic Medicine(2024)10.1038/s41525-024-00456-2
N/A
0.457DataRank · unranked
20 citations

Julius O.B. Jacobsen, Susan Walker, Valentina Cipriani, Nomi L. Harris, Melissa A Haendel +4 more

Rare disease gene association discovery from burden analysis of the 100,000 Genomes Project data

medRxiv(2023)10.1101/2023.12.20.23300294
N/A
0.208DataRank · unranked
3 citations

Letizia Vestito, Emma Magavern, Julius O.B. Jacobsen, Gavin Arno, Elijah R. Behr +56 more

Dimensional reduction of phenotypes from 53 000 mouse models reveals a diverse landscape of gene function

Bioinformatics Advances(2021)10.1093/bioadv/vbab026
Top 65%
0.203DataRank
Top 65%2 citations

Letizia Vestito, Damian Smedley, Tomasz Konopka

The genomic landscape of syndromic and non-syndromic hearing loss within the 100,000 Genomes Project cohort

medRxiv(2025)10.1101/2025.02.06.25321804
Top 100%
0DataRank
Top 100%0 citations

Damian Smedley, Valentina Cipriani, Gudrun E. Moore, Philip Stanier, Michael R. Bowl +4 more

Dimensional reduction of phenotypes from 53,000 mouse models reveals a diverse landscape of gene function

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.10.447851
Top 100%
0DataRank
Top 100%0 citations

Letizia Vestito, Damian Smedley, Tomasz Konopka

Diverse species-specific phenotypic consequences of loss of function sorting nexin 14 mutations

Scientific Reports(2020)10.1038/s41598-020-70797-2
N/A
0DataRank · unranked
17 citations

Marian Seda, Emma Peskett, Constance Maurer, Gideon Pomeranz, Marcus Ghosh +22 more