Jack W. O’Sullivan

Biochemistry, Genetics and Molecular BiologyDecision SciencesMedicineHealth Professions

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 12 papers. Top paper: “Prevalence and outcomes of incidental imaging findings: umbrella review”.

Prevalence and outcomes of incidental imaging findings: umbrella review

BMJ(2018)10.1136/bmj.k2387

N/A

0.868DataRank · unranked

325 citations

Tim Muntinga, Sam Grigg, John P. A. Ioannidis, Jack W. O’Sullivan

Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation

JAMA Network Open(2020)10.1001/jamanetworkopen.2020.2064

N/A

0.648DataRank · unranked

74 citations

Sam Grigg, William Crawford, Mintu P. Turakhia, Marco Perez, Erik Ingelsson +5 more

Interactions of physical activity, muscular fitness, adiposity, and genetic risk for NAFLD

Hepatology Communications(2022)10.1002/hep4.1932

N/A

0.406DataRank · unranked

14 citations

Sophia Figueroa Katz, Johanne Marie Justesen, Jack W. O’Sullivan, Peter Saliba‐Gustafsson, Themistocles L. Assimes +6 more

Reproducibility in the UK biobank of genome-wide significant signals discovered in earlier genome-wide association studies

Scientific Reports(2021)10.1038/s41598-021-97896-y

N/A

0.345DataRank · unranked

9 citations

John P. A. Ioannidis, Jack W. O’Sullivan

Reproducibility in the UK Biobank of Genome-Wide Significant Signals Discovered in Earlier Genome-wide Association Studies

medRxiv(2020)10.1101/2020.06.24.20139576

N/A

0.104DataRank · unranked

1 citations

John P. A. Ioannidis, Jack W. O’Sullivan

The Accuracy of Smartphone Camera Apps to Detect Atrial Fibrillation: A Systematic Review, Meta-Analysis, Meta-Regression and Modeling Study

SSRN Electronic Journal(2019)10.2139/ssrn.3478118

N/A

0.104DataRank · unranked

1 citations

Sam Grigg, William Crawford, Marco Perez, Erik Ingelsson, Matthew T. Wheeler +5 more

Mapping the Functional Landscape of KCNQ1 to Define Ion Channel Mechanisms and Arrhythmia Risk

medRxiv(2025)10.64898/2025.12.15.25341924

N/A

0DataRank · unranked

0 citations

Ellen M Osborn, Megan Lancaster, Joseh J. Smith, Qianyi Shen, Temidayo Abe +24 more

Improving reporting standards for polygenic scores in risk prediction studies

medRxiv(2020)10.1101/2020.04.23.20077099

N/A

0DataRank · unranked

55 citations

Samuel A. Lambert, Cecelia P. Tamburro, Michael A. Iacocca, Jack W. O’Sullivan, Catherine H. Sillari +28 more

Combining clinical and polygenic risk improves stroke prediction among individuals with atrial fibrillation

medRxiv(2020)10.1101/2020.06.17.20134163

N/A

0DataRank · unranked

14 citations

Anna Shcherbina, Johanne Marie Justesen, Mintu P. Turakhia, Marco Pérez, Hannah Wand +6 more

One-year real-world experience with mavacamten and its physiologic effects on obstructive hypertrophic cardiomyopathy

Frontiers in Cardiovascular Medicine(2024)10.3389/fcvm.2024.1429230

N/A

0DataRank · unranked

16 citations

Emily L. Chu, Emily Keamy-Minor, Ishan Paranjpe, Wilson L. Tang, Jack W. O’Sullivan +23 more

Unlocking insights: Clinical associations from the largest 6-minute walk test collection via the my Heart Counts Cardiovascular Health Study, a fully digital smartphone platform

Progress in Cardiovascular Diseases(2025)10.1016/j.pcad.2025.01.010

N/A

0DataRank · unranked

9 citations

Narayan Schuetz, Anders Johnson, Alexander Tolas, Sriya Mantena, Jack W. O’Sullivan +12 more

A deep learning phenome wide association study of the electrocardiogram

European Heart Journal - Digital Health(2025)10.1093/ehjdh/ztaf047

N/A

0DataRank · unranked

4 citations

John Theurer, Miloš Vukadinovic, Albert J. Rogers, Sulaiman Somani, Guson Kang +10 more