Brett K. Beaulieu‐Jones

Also affiliated with Harvard University, University of Illinois Chicago, University of Chicago, Artificial Intelligence in Medicine (Canada)

Computer ScienceMedicineBiochemistry, Genetics and Molecular BiologyHealth 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 2%percentile

3.5Author DataRank

Indexed papers

5in 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 5 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018

Top 13%

1.6DataRank

Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Papers

Driven by 35 papers — median percentile 70. Top paper: “Opportunities and obstacles for deep learning in biology and medicine”.

Opportunities and obstacles for deep learning in biology and medicine

bioRxiv (Cold Spring Harbor Laboratory)(2017)10.1101/142760

N/A

11.2DataRank · unranked

310 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Semi-supervised learning of the electronic health record for phenotype stratification

Journal of Biomedical Informatics(2016)10.1016/j.jbi.2016.10.007

N/A

8.5DataRank · unranked

198 citations

Casey S. Greene, Brett K. Beaulieu‐Jones

Reproducibility of computational workflows is automated using continuous analysis

Nature Biotechnology(2017)10.1038/nbt.3780

N/A

7.0DataRank · unranked

161 citations

Casey S. Greene, Brett K. Beaulieu‐Jones

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018

Top 13%

1.6DataRank

Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Opportunities and obstacles for deep learning in biology and medicine

Journal of The Royal Society Interface(2018)10.1098/rsif.2017.0387

N/A

1.2DataRank · unranked

2203 citations

Daniel S. Himmelstein, Brett K. Beaulieu‐Jones, Alexandr A. Kalinin, Brian T. Do, Gregory P. Way +31 more

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

Nature Medicine(2020)10.1038/s41591-020-1041-y

N/A

0.947DataRank · unranked

551 citations

Giorgio Quer, Ali Torkamani, Raquel Dias, Milena Gianfrancesco, Rima Arnaout +8 more

Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study

EClinicalMedicine(2023)10.1016/j.eclinm.2023.102210

Top 27%

0.745DataRank

Top 27%24 citations

Zachary H. Strasser, Zahra Shakeri Hossein Abad, Jeffrey G. Klann, Kavishwar B. Wagholikar, Rebecca Mesa +93 more

The MI-CLAIM-GEN checklist for generative artificial intelligence in health

Nature Medicine(2025)10.1038/s41591-024-03470-0

N/A

0.720DataRank · unranked

18 citations

Irene Y. Chen, Christopher Y. K. Williams, Jaysón Davidson, Shenghuan Sun, Travis Zack +14 more

Privacy-preserving generative deep neural networks support clinical data sharing

bioRxiv (Cold Spring Harbor Laboratory)(2017)10.1101/159756

N/A

0.675DataRank · unranked

89 citations

Zhiwei Steven Wu, Chris Williams, Ran Lee, Sanjeev P. Bhavnani, James Brian Byrd +2 more

Validation of a Derived International Patient Severity Algorithm to Support COVID-19 Analytics from Electronic Health Record Data

medRxiv(2020)10.1101/2020.10.13.20201855

Top 30%

0.665DataRank

Top 30%12 citations

Griffin M. Weber, Hossein Estiri, Bertrand Moal, Paul Avillach, Chuan Hong +34 more

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2

BMJ Open(2022)10.1136/bmjopen-2021-057725

Top 38%

0.505DataRank

Top 38%9 citations

Harrison G. Zhang, Sehi L’Yi, Griffin M. Weber, Paul Avillach, Bryce W. Q. Tan +56 more

Reproducible Computational Workflows with Continuous Analysis

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/056473

N/A

0.208DataRank · unranked

3 citations

Casey S. Greene, Brett K. Beaulieu‐Jones

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

medRxiv(2021)10.1101/2021.10.20.21265298

N/A

0.165DataRank · unranked

2 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

Zero-shot Interpretable Phenotyping of Postpartum Hemorrhage Using Large Language Models

medRxiv(2023)10.1101/2023.05.31.23290753

N/A

0DataRank · unranked

9 citations

Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu‐Jones, Kathryn J. Gray +3 more

Disease progression strikingly differs in research and real-world Parkinson’s populations

npj Parkinson s Disease(2024)10.1038/s41531-024-00667-5

N/A

0DataRank · unranked

25 citations

Francesca Frau, Sylvie Bozzi, Karen J. Chandross, Michel Peterschmitt, Caroline Cohen +8 more

Disease progression strikingly differs in research and real-world Parkinson's populations

medRxiv(2024)10.1101/2024.02.17.24302981

N/A

0DataRank · unranked

3 citations

Francesca Frau, Sylvie Bozzi, Karen J. Chandross, Michel Peterschmitt, Caroline Cohen +8 more

Synthetic Data Distillation Enables the Extraction of Clinical Information at Scale

medRxiv(2024)10.1101/2024.09.27.24314517

N/A

0DataRank · unranked

2 citations

Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu‐Jones, Elizabeth Geena Woo

Phenotypic overlap between rare disease patients and variant carriers in a large population cohort informs biological mechanisms

medRxiv(2024)10.1101/2024.04.18.24305861

N/A

0DataRank · unranked

1 citations

Undiagnosed Diseases Network, Brett K. Beaulieu‐Jones, Shilpa N. Kobren, Lane Fitzsimmons

Synthetic data distillation enables the extraction of clinical information at scale

npj Digital Medicine(2025)10.1038/s41746-025-01681-4

N/A

0DataRank · unranked

4 citations

Michael C. Burkhart, Emily Alsentzer, Brett K. Beaulieu‐Jones, Elizabeth Geena Woo

Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs

PubMed(2025)10.1142/9789819824755_0049

N/A

0DataRank · unranked

1 citations

David Chen, Michael C. Burkhart, Nipun Bhandari, Bashar Ramadan, Brett K. Beaulieu‐Jones +1 more

Heterogeneous Effect of Automated Alerts on Mortality

medRxiv(2025)10.1101/2025.08.11.25333302

N/A

0DataRank · unranked

0 citations

Zana Percy, Tanner J. Zachem, Brett K. Beaulieu‐Jones, Isaac S. Kohane, Stuart L. Goldstein +3 more

Reproducible Computational Workflows with Continuous Analysis

Faculty of 1000 Research Ltd(2016)10.7490/f1000research.1112695.1

N/A

0DataRank · unranked

0 citations

Brett K. Beaulieu‐Jones, Casey S. Greene

Prototype Learning to Create Refined Interpretable Digital Phenotypes from ECGs

ArXiv.org(2025)10.48550/arxiv.2508.01521

N/A

0DataRank · unranked

0 citations

David Chen, Michael C. Burkhart, Bhandari, Nipun, Bashar Ramadan, Brett K. Beaulieu‐Jones +1 more

Denoising Autoencoders For Phenotype Stratification (Daps) Sample Simulated Patient Data

Zenodo (CERN European Organization for Nuclear Research)(2016)10.5281/zenodo.46082

Top 100%

0DataRank

Top 100%0 citations

Casey S. Greene, Brett K. Beaulieu‐Jones

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

medRxiv(2020)10.1101/2020.12.16.20247684

N/A

0DataRank · unranked

19 citations

Chuan Hong, Nathan Palmer, Paul Avillach, Shawn N. Murphy, Alba Gutiérrez‐Sacristán +80 more

Machine learning for patient risk stratification: standing on, or looking over, the shoulders of clinicians?

npj Digital Medicine(2021)10.1038/s41746-021-00426-3

N/A

0DataRank · unranked

159 citations

William Yuan, Gabriel A. Brat, Andrew L. Beam, Griffin M. Weber, M Ruffin +2 more

Temporal bias in case-control design: preventing reliable predictions of the future

Nature Communications(2021)10.1038/s41467-021-21390-2

N/A

0DataRank · unranked

88 citations

Brett K. Beaulieu‐Jones, Kun‐Hsing Yu, Scott L. Lipnick, Nathan Palmer, Joseph Loscalzo +3 more

Comment on: Truth and truthiness: evidence, experience and clinical judgement in surgery

British journal of surgery(2021)10.1093/bjs/znab319

N/A

0DataRank · unranked

3 citations

Brett K. Beaulieu‐Jones, William Yuan, Gabriel A. Brat, Jayson S. Marwaha

Temporal Trends in Clinical Evidence of 5-Year Survival Within Electronic Health Records Among Patients With Early-Stage Colon Cancer Managed With Laparoscopy-Assisted Colectomy vs Open Colectomy

JAMA Network Open(2022)10.1001/jamanetworkopen.2022.18371

N/A

0DataRank · unranked

16 citations

Rachel Zhao, Tianrun Cai, Brett K. Beaulieu‐Jones, Thany Seyok, Kumar Dahal +10 more

Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models

npj Digital Medicine(2023)10.1038/s41746-023-00957-x

N/A

0DataRank · unranked

66 citations

Matthew J. Rasmussen, Romy Fontoura, Alexis L. Cull, Brett K. Beaulieu‐Jones, Kathryn J. Gray +3 more

Predicting seizure recurrence after an initial seizure-like episode from routine clinical notes using large language models: a retrospective cohort study

The Lancet Digital Health(2023)10.1016/s2589-7500(23)00179-6

N/A

0DataRank · unranked

35 citations

Mauricio F. Villamar, Phil Scordis, Ana Paula Bartmann, Waqar Ali, Benjamin D. Wissel +5 more

Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

Communications Medicine(2023)10.1038/s43856-023-00240-w

N/A

0DataRank · unranked

29 citations

Edgar Argulian, Stamatios Lerakis, Brett K. Beaulieu‐Jones, Chayakrit Krittanawong, Eyal Klang +6 more

Generate Analysis-Ready Data for Real-world Evidence: Tutorial for Harnessing Electronic Health Records With Advanced Informatic Technologies

Journal of Medical Internet Research(2023)10.2196/45662

N/A

0DataRank · unranked

20 citations

Rachel Zhao, Jessica Gronsbell, Yucong Lin, Clara-Lea Bonzel, Qingyi Zeng +13 more

Opportunities and challenges for biomarker discovery using electronic health record data

Trends in Molecular Medicine(2023)10.1016/j.molmed.2023.06.006

N/A

0DataRank · unranked

20 citations

Amelia L.M. Tan, Theodore G. Drivas, Kevin B. Johnson, Marylyn D. Ritchie, Brett K. Beaulieu‐Jones +1 more

Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge

PLOS Digital Health(2023)10.1371/journal.pdig.0000208

N/A

0DataRank · unranked

10 citations

Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page +21 more

Brett K. Beaulieu‐Jones

Indexed papers

Top data-sharing exemplar

Papers