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

Philip S. Boonstra

University of Michigan

ORCID: 0000-0001-8545-9133

MedicineMathematicsImmunology and Microbiology

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

4.2Author 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 →

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

Extracorporeal Life Support Organization Registry International Report 2022: 100,000 Survivors

ASAIO Journal(2024)10.1097/mat.0000000000002128

Top 5%

4.2DataRank

Top 5%273 citations

Philip S. Boonstra, Graeme MacLaren, Matthew L. Paden, Daniel Brodie, Marc Anders +15 more

Papers

Driven by 13 papers — median percentile 95. Top paper: “Extracorporeal Life Support Organization Registry International Report 2022: 100,000 Survivors”.

Extracorporeal Life Support Organization Registry International Report 2022: 100,000 Survivors

ASAIO Journal(2024)10.1097/mat.0000000000002128

Top 5%

4.2DataRank

Top 5%273 citations

Philip S. Boonstra, Graeme MacLaren, Matthew L. Paden, Daniel Brodie, Marc Anders +15 more

Extracorporeal membrane oxygenation support in COVID-19: an international cohort study of the Extracorporeal Life Support Organization registry

The Lancet(2020)10.1016/s0140-6736(20)32008-0

N/A

1.0DataRank · unranked

930 citations

Graeme MacLaren, Philip S. Boonstra, Theodore J. Iwashyna, Arthur S. Slutsky, Eddy Fan +95 more

Shrinkage priors for isotonic probability vectors and binary data modeling, with applications to dose–response modeling

Pharmaceutical Statistics(2024)10.1002/pst.2372

N/A

0.165DataRank · unranked

2 citations

Daniel Owen, Jian Kang, Philip S. Boonstra

Extracorporeal membrane oxygenation for COVID-19: evolving outcomes from the international Extracorporeal Life Support Organization Registry

The Lancet(2021)10.1016/s0140-6736(21)01960-7

N/A

0DataRank · unranked

403 citations

Graeme MacLaren, Philip S. Boonstra, Alain Combes, Cara Agerstrand, Gail M. Annich +11 more

Investigating the SPECT Dose-Function Metrics Associated With Radiation-Induced Lung Toxicity Risk in Patients With Non-small Cell Lung Cancer Undergoing Radiation Therapy

Advances in Radiation Oncology(2021)10.1016/j.adro.2021.100666

N/A

0DataRank · unranked

10 citations

Yilun Sun, Philip S. Boonstra, Matthew McFarlane, Benjamin L. Viglianti, James M. Balter +8 more

A modular framework for early-phase seamless oncology trials

Clinical Trials(2021)10.1177/1740774520981939

N/A

0DataRank · unranked

4 citations

Thomas Braun, Elizabeth C. Chase, Philip S. Boonstra

Improved prediction of radiation pneumonitis by combining biological and radiobiological parameters using a data-driven Bayesian network analysis

Translational Oncology(2022)10.1016/j.tranon.2022.101428

N/A

0DataRank · unranked

9 citations

David Karnak, Ming Tang, Ralph Jiang, Yi Luo, Philip S. Boonstra +17 more

Utility based approach in individualized optimal dose selection using machine learning methods

Statistics in Medicine(2022)10.1002/sim.9396

N/A

0DataRank · unranked

7 citations

Jeremy M. G. Taylor, Philip S. Boonstra, Theodore S. Lawrence, Matthew J. Schipper, Pin Li

A real-world experience: Outcomes among relapsed/refractory diffuse large B cell lymphoma patients with CD20 loss.

Journal of Clinical Oncology(2022)10.1200/jco.2022.40.16_suppl.e19570

N/A

0DataRank · unranked

0 citations

Philip S. Boonstra, Yasmin Karimi, Shannon A. Carty, Ryan A. Wilcox, Tycel Phillips +1 more

A comparison of some existing and novel methods for integrating historical models to improve estimation of coefficients in logistic regression

Journal of the Royal Statistical Society Series A (Statistics in Society)(2024)10.1093/jrsssa/qnae093

N/A

0DataRank · unranked

1 citations

Pedro Orozco del Pino, Philip S. Boonstra

A Multiple Imputation Approach for the Cumulative Incidence, with Implications for Variance Estimation

The American Statistician(2025)10.1080/00031305.2025.2453674

N/A

0DataRank · unranked

0 citations

Philip S. Boonstra, Jeremy M. G. Taylor, Elizabeth C. Chase

Sentinel Lymph Node Biopsy in Head and Neck Melanoma: Long‐term Outcomes, Prognostic Value, Accuracy, and Safety

Otolaryngology(2020)10.1177/0194599819899934

N/A

0DataRank · unranked

15 citations

Kevin J. Kovatch, S. Ahmed Ali, Emily Roberts, Alison B. Durham, Joshua D. Smith +6 more

Inferring a consensus problem list using penalized multistage models for ordered data

The Annals of Applied Statistics(2020)10.1214/20-aoas1361

N/A

0DataRank · unranked

1 citations

John C. Krauss, Philip S. Boonstra