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

Patrick J. Bolan

University of Minnesota

ORCID: 0000-0002-4194-3975

Also affiliated with Resonance Research (United States)

Medicine

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 3%percentile
1.2Author DataRank

Indexed papers

2in 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 2 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.

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Radiology Imaging Cancer(2024)10.1148/rycan.230033
Top 23%
0.878DataRank
Top 23%25 citations

Savannah C. Partridge, David C. Newitt, Jon A. Steingrimsson, Helga S. Marques, Patrick J. Bolan +27 more

Papers

Driven by 13 papers — median percentile 62. Top paper: “Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge”.

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge

Radiology Imaging Cancer(2024)10.1148/rycan.230033
Top 23%
0.878DataRank
Top 23%25 citations

Savannah C. Partridge, David C. Newitt, Jon A. Steingrimsson, Helga S. Marques, Patrick J. Bolan +27 more

Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment

Radiology Imaging Cancer(2023)10.1148/rycan.220126
N/A
0.373DataRank · unranked
8 citations

Teffany Joy Bareng, Jessica Gibbs, Wen Li, Elissa R. Price, Bonnie N. Joe +93 more

Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks

Magnetic Resonance Materials in Physics Biology and Medicine(2024)10.1007/s10334-024-01186-3
Top 53%
0.323DataRank
Top 53%4 citations

Sara L. Saunders, Kendrick Kay, Mitchell E. Gross, Mehmet Akçakaya, Gregory J. Metzger +1 more

Training Convolutional Networks for Prostate Segmentation With Limited Data

IEEE Access(2021)10.1109/access.2021.3100585
N/A
0DataRank · unranked
11 citations

Ethan Leng, Benjamin Spilseth, Neil F. Wasserman, Gregory J. Metzger, Patrick J. Bolan +1 more

Liver Volumetry from Magnetic Resonance Images with Convolutional Neural Networks

medRxiv(2021)10.1101/2021.12.01.21267152
N/A
0DataRank · unranked
0 citations

Justin Clark, Kyle Rudser, Anil Chauhan, Justin R. Ryder, Patrick J. Bolan +1 more

Impact of Alternate b-Value Combinations and Metrics on the Predictive Performance and Repeatability of Diffusion-Weighted MRI in Breast Cancer Treatment: Results from the ECOG-ACRIN A6698 Trial

Tomography(2022)10.3390/tomography8020058
N/A
0DataRank · unranked
13 citations

Jon A. Steingrimsson, David C. Newitt, Jessica Gibbs, Helga S. Marques, Patrick J. Bolan +5 more

Improved Quantitative Parameter Estimation for Prostate T2 Relaxometry using Convolutional Neural Networks

medRxiv(2023)10.1101/2023.01.11.23284194
N/A
0DataRank · unranked
1 citations

Sara L. Saunders, Kendrick Kay, Mitchell E. Gross, Mehmet Akçakaya, Gregory J. Metzger +1 more

Time‐restricted eating, caloric reduction, and unrestricted eating effects on weight and metabolism: a randomized trial

Obesity(2025)10.1002/oby.24252
N/A
0DataRank · unranked
21 citations

Douglas G. Mashek, Lisa Harnack, Qi Wang, Emily N. C. Manoogian, Nicholas G. Evanoff +19 more

Ketogenesis mitigates metabolic dysfunction–associated steatotic liver disease through mechanisms that extend beyond fat oxidation

Journal of Clinical Investigation(2025)10.1172/jci191021
N/A
0DataRank · unranked
14 citations

David B. Stagg, Alisa B. Nelson, Alec Chaves, Scott B. Crown, Kyle Fulghum +14 more

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

npj Breast Cancer(2020)10.1038/s41523-020-00203-7
N/A
0DataRank · unranked
83 citations

David C. Newitt, Jessica Gibbs, Lisa J. Wilmes, Ella F. Jones, Vignesh A. Arasu +57 more

Can we cut the contrast? DWI shows similar value to standard MRI for assessing treatment response in breast cancer

European Radiology(2025)10.1007/s00330-025-11912-7
N/A
0DataRank · unranked
1 citations

Habib Rahbar, Savannah C. Partridge, Patrick J. Bolan

A Comparison of Methods for High-Spatial-Resolution Diffusion-weighted Imaging in Breast MRI

Radiology(2020)10.1148/radiol.2020200221
N/A
0DataRank · unranked
40 citations

An Church, Nathan Rubin, Tim H. Emory, Noelle Hoven, Jessica Kuehn-Hajder +6 more

Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response

Radiology(2021)10.1148/radiol.2021203645
N/A
0DataRank · unranked
37 citations

Wen Li, David C. Newitt, Roy Harnish, Fredrik Strand, Alex Nguyen +56 more