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

David A. Hormuth

Livestrong Foundation

ORCID: 0000-0002-9643-1694

Also affiliated with The University of Texas at Austin

MathematicsMedicine

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 14 papers. Top paper: “An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines”.

An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines

PLoS ONE(2021)10.1371/journal.pone.0240765
N/A
0.661DataRank · unranked
19 citations

John Virostko, David A. Hormuth, Junyan Liu, Amy Brock, Jeanne Kowalski +2 more

Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma

Computers in Biology and Medicine(2024)10.1016/j.compbiomed.2024.108889
N/A
0.361DataRank · unranked
7 citations

David A. Hormuth, Chase Christenson, Ryan T. Woodall, Michael Abdelmalik, William T. Phillips +4 more

An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom

Medical Image Analysis(2021)10.1016/j.media.2021.102186
N/A
0DataRank · unranked
8 citations

David A. Hormuth, Ty Easley, Victor Eijkhout, Federico Pineda, Gregory S. Karczmar +2 more

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology

Biophysics Reviews(2022)10.1063/5.0086789
N/A
0DataRank · unranked
125 citations

Guillermo Lorenzo, David A. Hormuth, Ernesto A. B. F. Lima, Kalina P. Slavkova, Julie C. DiCarlo +6 more

Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer

Cancers(2022)10.3390/cancers14071837
N/A
0DataRank · unranked
56 citations

David A. Hormuth, Tessa Davis, Meghan J. Bloom, Sarah Mounho, Gibraan Rahman +4 more

Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

Scientific Reports(2023)10.1038/s41598-023-30010-6
N/A
0DataRank · unranked
21 citations

Sahil H. Patel, Zachary Cacini, Anum S. Kazerouni, Andrea Gardner, Thomas E. Yankeelov +2 more

Toward Practical Integration of Omic and Imaging Data in Co-Clinical Trials

Tomography(2023)10.3390/tomography9020066
N/A
0DataRank · unranked
5 citations

Heidi Dowst, Julie C. DiCarlo, Lacey E. Dobrolecki, Anadulce Hernández-Herrera, David A. Hormuth +13 more

Comparing mechanism-based and machine learning models for predicting the effects of glucose accessibility on tumor cell proliferation

Scientific Reports(2023)10.1038/s41598-023-37238-2
N/A
0DataRank · unranked
3 citations

Jack Virostko, Junyan Liu, Angela M. Jarrett, David A. Hormuth, Thomas E. Yankeelov +1 more

Author Correction: Mathematical modelling of the dynamics of image-informed tumor habitats in a murine model of glioma

Scientific Reports(2023)10.1038/s41598-023-35324-z
N/A
0DataRank · unranked
0 citations

Sahil H. Patel, Zachary Cacini, Anum S. Kazerouni, Andrea Gardner, Thomas E. Yankeelov +2 more

Systematic evaluation of MRI-based characterization of tumor-associated vascular morphology and hemodynamics via a dynamic digital phantom

Journal of Medical Imaging(2024)10.1117/1.jmi.11.2.024002
N/A
0DataRank · unranked
1 citations

David A. Hormuth, Ty Easley, Federico Pineda, Gregory S. Karczmar, Thomas E. Yankeelov +1 more

A critical assessment of artificial intelligence in magnetic resonance imaging of cancer

npj Imaging(2025)10.1038/s44303-025-00076-0
N/A
0DataRank · unranked
13 citations

Meryem Abbad Andaloussi, David A. Hormuth, Ernesto A. B. F. Lima, Guillermo Lorenzo, Casey E. Stowers +8 more

Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

Scientific Reports(2020)10.1038/s41598-020-77397-0
N/A
0DataRank · unranked
37 citations

David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan +5 more

Investigating the Limits of Predictability of Magnetic Resonance Imaging-Based Mathematical Models of Tumor Growth

Cancers(2025)10.3390/cancers17203361
N/A
0DataRank · unranked
1 citations

Thomas E. Yankeelov, David A. Hormuth, Megan F. LaMonica

Towards integration of 64Cu-DOTA-Trasztusumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2+ breast cancer

medRxiv(2020)10.1101/2020.06.10.20127639
N/A
0DataRank · unranked
0 citations

David A. Hormuth, Vikram Adhikarla, Prativa Sahoo, Daniel Abler, Lusine Tumyan +5 more