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

Uyenlinh L Mirshahi

Genomic Health (United States)

ORCID: 0000-0003-4972-5451

Also affiliated with Geisinger Health System

Biochemistry, Genetics and Molecular BiologyMedicine

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 5%percentile
0.355Author 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.

A genome-first approach to characterize DICER1 pathogenic variant prevalence, penetrance and cancer, thyroid, and other phenotypes in 2 population-scale cohorts

Genetics in Medicine Open(2024)10.1016/j.gimo.2024.101846
Top 50%
0.355DataRank
Top 50%9 citations

Jeremy S. Haley, Jessica N. Hatton, Uyenlinh L Mirshahi, H. Shanker Rao, Mark Ramos +6 more

Papers

Driven by 11 papers — median percentile 50. Top paper: “Genome-first approach of the prevalence and cancer phenotypes of pathogenic or likely pathogenic germline TP53 variants”.

Genome-first approach of the prevalence and cancer phenotypes of pathogenic or likely pathogenic germline TP53 variants

Human Genetics and Genomics Advances(2023)10.1016/j.xhgg.2023.100242
N/A
0.449DataRank · unranked
19 citations

Natasha T. Strande, Jung Kim, Jeremy S. Haley, Jessica N. Hatton, Megan N. Frone +13 more

A genome-first approach to characterize DICER1 pathogenic variant prevalence, penetrance and cancer, thyroid, and other phenotypes in 2 population-scale cohorts

Genetics in Medicine Open(2024)10.1016/j.gimo.2024.101846
Top 50%
0.355DataRank
Top 50%9 citations

Jeremy S. Haley, Jessica N. Hatton, Uyenlinh L Mirshahi, H. Shanker Rao, Mark Ramos +6 more

Genome-first determination of the prevalence and penetrance of eight germline myeloid malignancy predisposition genes: a study of two population-based cohorts

Leukemia(2024)10.1038/s41375-024-02436-y
N/A
0.312DataRank · unranked
7 citations

Jung Kim, Jeremy S. Haley, Mark Ramos, Uyenlinh L Mirshahi, David J. Carey +3 more

Genomic ascertainment for UBA1 variants and VEXAS syndrome: a population-based study

medRxiv(2022)10.1101/2022.07.27.22277962
N/A
0.241DataRank · unranked
4 citations

Dale L. Bodian, Vandan Shah, Uyenlinh L Mirshahi, Jung Kim, Yi Ding +11 more

Genomic ascertainment of CHEK2 -related cancer predisposition

medRxiv(2024)10.1101/2024.08.07.24311613
N/A
0.179DataRank · unranked
1 citations

Jung Kim, Mark Ramos, Jeremy S. Haley, Diane T. Smelser, H. Shanker Rao +6 more

A new form of diabetes caused by INS mutations defined by zygosity, stem cell and population data

EMBO Molecular Medicine(2026)10.1038/s44321-025-00362-9
N/A
0DataRank · unranked
0 citations

Marianne Becker, Ulrike Schierloh, Flávia Natividade da Silva, Leena Haataja, Ying Cai +27 more

Improving type 2 diabetes polygenic risk scores by incorporating rare, low-frequency, and population-specific variants

medRxiv(2025)10.1101/2025.11.24.25340878
N/A
0DataRank · unranked
1 citations

Alicia Huerta‐Chagoya, Xiaoyu Wang, Maheak Vora, Jiang Li, Lehte Türk +18 more

A Genome-First Approach to Characterize DICER1 Pathogenic Variant Prevalence, Penetrance, and Phenotype

JAMA Network Open(2021)10.1001/jamanetworkopen.2021.0112
N/A
0DataRank · unranked
46 citations

Jung Kim, Ana F. Best, Zongming E. Chen, Ying Hu, Jeremy S. Haley +15 more

Framework From a Multidisciplinary Approach for Transitioning Variants of Unknown Significance From Clinical Genetic Testing in Kidney Disease to a Definitive Classification

Kidney International Reports(2022)10.1016/j.ekir.2022.06.014
N/A
0DataRank · unranked
5 citations

Ahana Bhan, Lotte E. Tholen, Brian Fang, Guoli Chen, Bryn S. Moore +12 more

Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes

Nature Genetics(2024)10.1038/s41588-024-01947-9
N/A
0DataRank · unranked
40 citations

Philip Schroeder, Ravi Mandla, Man Li, Lowri Morris, Maheak Vora +21 more

Applying a genetic risk score model to enhance prediction of future multiple sclerosis diagnosis at first presentation with optic neuritis

Nature Communications(2024)10.1038/s41467-024-44917-9
N/A
0DataRank · unranked
10 citations

Feiyi Wang, Jiang Li, Lauric Ferrat, Uyenlinh L Mirshahi, H. Shanker Rao +11 more