Thomas E. Yankeelov

Also affiliated with The University of Texas MD Anderson Cancer Center, The University of Texas at Austin

MedicineMathematics

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 4%percentile

0.878Author 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.

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 52 papers — median percentile 77. Top paper: “Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial”.

Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial

Radiology(2020)10.1148/radiol.2020202465

N/A

1.8DataRank · unranked

43 citations

Justin Romanoff, Habib Rahbar, Averi E. Kitsch, Sara Harvey, Jennifer G. Whisenant +18 more

MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

Cancer Research(2022)10.1158/0008-5472.can-22-1329

N/A

1.6DataRank · unranked

75 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 more

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

Generative adversarial network enables rapid and robust fluorescence lifetime image analysis in live cells

Communications Biology(2022)10.1038/s42003-021-02938-w

N/A

0.696DataRank · unranked

54 citations

Yin-Jui Chang, Shih‐Chu Liao, Trung D. Nguyen, Jianchen Yang, Yu-An Kuo +7 more

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

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

Cancers(2022)10.3390/cancers14071837

N/A

0.609DataRank · unranked

57 citations

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

CD4 T-cell immune stimulation of HER2 + breast cancer cells alters response to trastuzumab in vitro

Cancer Cell International(2020)10.1186/s12935-020-01625-w

N/A

0.373DataRank · unranked

11 citations

Ameer Mansur, Kari J. Dugger, Tessa Davis, Grant Howard, Thomas E. Yankeelov +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

Combining Biology-based and MRI Data-driven Modeling to Predict Response to Neoadjuvant Chemotherapy in Patients with Triple-Negative Breast Cancer

Radiology Artificial Intelligence(2024)10.1148/ryai.240124

N/A

0.355DataRank · unranked

8 citations

Chengyue Wu, Zhan Xu, Sidharth Kumar, Clinton Yam, Jong Bum Son +5 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

0.330DataRank · unranked

8 citations

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

Longitudinal FRET Imaging of Glucose and Lactate Dynamics and Response to Therapy in Breast Cancer Cells

Molecular Imaging and Biology(2021)10.1007/s11307-021-01639-4

N/A

0.312DataRank · unranked

7 citations

Tessa Davis, Anum S. Kazerouni, Yuan‐I Chen, Meghan J. Bloom, Hsin‐Chih Yeh +3 more

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

Tomography(2023)10.3390/tomography9020066

N/A

0.269DataRank · unranked

5 citations

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

Co-Clinical Imaging Metadata Information (CIMI) for Cancer Research to Promote Open Science, Standardization, and Reproducibility in Preclinical Imaging

Tomography(2023)10.3390/tomography9030081

N/A

0.269DataRank · unranked

5 citations

James D. Quirk, Andrew W. Lassiter, Richard Laforest, Gregory D. Ayers, Cristian T. Badea +22 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

0.208DataRank · unranked

3 citations

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

Investigating tumor-host response dynamics in preclinical immunotherapy experiments using a stepwise mathematical modeling strategy

Mathematical Biosciences(2023)10.1016/j.mbs.2023.109106

N/A

0.208DataRank · unranked

3 citations

Patrick N. Song, Kirsten M. Reeves, Ernesto A. B. F. Lima, Benjamin M. Larimer, Thomas E. Yankeelov +2 more

A Roadmap for the Future of Systems Biology in Cancer Research

Cancer Research(2025)10.1158/0008-5472.can-25-0700

N/A

0.165DataRank · unranked

2 citations

Carlos F. Lopez, Andréi S. Rodin, Russell C. Rockne, Thomas E. Yankeelov, Herbert M Sauro +23 more

Modeling tumor dynamics and predicting response to therapies in a murine pancreatic cancer model

npj Systems Biology and Applications(2025)10.1038/s41540-025-00593-z

N/A

0.104DataRank · unranked

1 citations

Hoon Choi, Mamta Gupta, Rong Zhou, Anna G. Sorace, Thomas E. Yankeelov +2 more

Patient-specific computational forecasting of prostate cancer growth during active surveillance using an imaging-informed biomechanistic model

arXiv (Cornell University)(2023)10.48550/arxiv.2310.00060

N/A

0.104DataRank · unranked

1 citations

Jon S. Heiselman, Michael A. Liss, Michael I. Miga, Héctor Gómez, Thomas E. Yankeelov +3 more

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin

Frontiers in Molecular Biosciences(2022)10.3389/fmolb.2022.972146

N/A

0DataRank · unranked

18 citations

Grant Howard, Amy Brock, Thomas E. Yankeelov, Guillermo Lorenzo, Emily Y. Yang

Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy

Academic Radiology(2022)10.1016/j.acra.2022.02.008

N/A

0DataRank · unranked

9 citations

Federico Pineda, Frederick M. Howard, Elle Hill, Teodora Szasz, Rabia Safi +6 more

Model selection for assessing the effects of doxorubicin on triple-negative breast cancer cell lines

Journal of Mathematical Biology(2022)10.1007/s00285-022-01828-x

N/A

0DataRank · unranked

5 citations

Ernesto A. B. F. Lima, Regina C. Almeida, Matthew T. McKenna, Thomas E. Yankeelov, Anna Claudia M. Resende

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

A global sensitivity analysis of a mechanistic model of neoadjuvant chemotherapy for triple negative breast cancer constrained by in vitro and in vivo imaging data

Engineering With Computers(2023)10.1007/s00366-023-01873-0

N/A

0DataRank · unranked

9 citations

Angela M. Jarrett, Christian T. Meyer, Julie C. DiCarlo, John Virostko, Vito Quaranta +3 more

Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting

Journal of Computational Science(2023)10.1016/j.jocs.2023.102006

N/A

0DataRank · unranked

7 citations

Ernesto A. B. F. Lima, Chengyue Wu, Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey +4 more

Predicting response to combination evofosfamide and immunotherapy under hypoxic conditions in murine models of colon cancer

Mathematical Biosciences & Engineering(2023)10.3934/mbe.2023783

N/A

0DataRank · unranked

2 citations

Patrick N. Song, Kirsten M. Reeves, Benjamin M. Larimer, Anna G. Sorace, Thomas E. Yankeelov +1 more

Forum on immune digital twins: a meeting report

arXiv (Cornell University)(2023)10.48550/arxiv.2310.18374

N/A

0DataRank · unranked

1 citations

Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luís L. Fonseca +14 more

Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

(2023)10.1158/0008-5472.c.6514223.v1

N/A

0DataRank · unranked

0 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 more

Data from MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer

(2023)10.1158/0008-5472.c.6514223

N/A

0DataRank · unranked

0 citations

Angela M. Jarrett, Zijian Zhou, Nabil Elshafeey, Beatriz E. Adrada, Rosalind P. Candelaria +13 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

Forum on immune digital twins: a meeting report

npj Systems Biology and Applications(2024)10.1038/s41540-024-00345-5

N/A

0DataRank · unranked

24 citations

Fred Adler, Gary An, Filippo Castiglione, Stephen Eubank, Luís L. Fonseca +14 more

A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model

Cancer Research Communications(2024)10.1158/2767-9764.crc-23-0449

N/A

0DataRank · unranked

15 citations

Jon S. Heiselman, Michael A. Liss, Michael I. Miga, Héctor Gómez, Thomas E. Yankeelov +3 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

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

Modeling tumor dynamics and predicting response to chemo-, targeted-, and immune-therapies in a murine model of pancreatic cancer

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.01.03.631015

N/A

0DataRank · unranked

0 citations

Hoon Choi, Mamta Gupta, Rong Zhou, Anna G. Sorace, Thomas E. Yankeelov +2 more

MRI-Based Mathematical Modeling to Predict the Response of I-SPY 2 Patients with Breast Cancer to Neoadjuvant Therapy

Clinical Cancer Research(2025)10.1158/1078-0432.ccr-25-0668

N/A

0DataRank · unranked

0 citations

Chengyue Wu, Casey E. Stowers, Rania M. Mohamed, Jingfei Ma, Gaiane M. Rauch +2 more

Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702)

Journal of Breast Imaging(2020)10.1093/jbi/wbaa103

N/A

0DataRank · unranked

18 citations

Justin Romanoff, Habib Rahbar, Averi E. Kitsch, Sara Harvey, Linda Moy +17 more

Imaging for Response Assessment in Cancer Clinical Trials

Seminars in Nuclear Medicine(2020)10.1053/j.semnuclmed.2020.05.001

N/A

0DataRank · unranked

44 citations

Asser Abou Elkassem, Samuel J. Galgano, Suzanne E. Lapi, Benjamin M. Larimer, Savannah C. Partridge +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

In vitro vascularized tumor platform for modeling tumor‐vasculature interactions of inflammatory breast cancer

Biotechnology and Bioengineering(2020)10.1002/bit.27487

N/A

0DataRank · unranked

32 citations

Caleb M. Phillips, Neda Ghousifam, Anna G. Sorace, Enoch Wong, Savitri Krishnamurthy +6 more

Quantitative Comparison of Prone and Supine PERCIST Measurements in Breast Cancer

Tomography(2020)10.18383/j.tom.2020.00002

N/A

0DataRank · unranked

3 citations

Jason M. Williams, Hakmook Kang, Lori R. Arlinghaus, Richard G. Abramson, Vandana G. Abramson +4 more

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.11.943738

N/A

0DataRank · unranked

8 citations

Grant Howard, Daylin Morgan, Eric Brenner, Andrea Gardner, R. Durrett +7 more

Deep learning enables rapid and robust analysis of fluorescence lifetime imaging in photon-starved conditions

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.02.408195

N/A

0DataRank · unranked

3 citations

Yin-Jui Chang, Shih‐Chu Liao, Trung D. Nguyen, Jianchen Yang, Yu-An Kuo +7 more

CD4 T-cell immune stimulation of HER2+ breast cancer cells alters response to trastuzumab in vitro

Research Square(2020)10.21203/rs.3.rs-45672/v3

N/A

0DataRank · unranked

1 citations

Amer Mansur, Kari J. Dugger, Tessa R. Davis, Grant Howard, Thomas E. Yankeelov +2 more

Molecular profiling and quantitative image analysis reveal spatial intratumor heterogeneity in TNBC.

Journal of Clinical Oncology(2020)10.1200/jco.2020.38.15_suppl.e12536

N/A

0DataRank · unranked

0 citations

Hongxiao Li, Dennis Wylie, Jaspreet Kaur, Rishab Kolachina, Bikram Sahoo +13 more

CD4 T-cell immune stimulation of HER2+ breast cancer cells alters response to trastuzumab in vitro

Research Square(2020)10.21203/rs.3.rs-45672/v2

N/A

0DataRank · unranked

0 citations

Amer Mansur, Kari J. Dugger, Tessa R. Davis, Grant Howard, Thomas E. Yankeelov +2 more

CD4 T-Cell Immune Stimulation of HER2+ Breast Cancer Cells in Response to Trastuzumab In Vitro

Research Square(2020)10.21203/rs.3.rs-45672/v1

N/A

0DataRank · unranked

0 citations

Amer Mansur, Kari J. Dugger, Tessa R. Davis, Grant Howard, Thomas E. Yankeelov +2 more

Deep learning-based classification of breast cancer cells using transmembrane receptor dynamics

Bioinformatics(2021)10.1093/bioinformatics/btab581

N/A

0DataRank · unranked

9 citations

Soonwoo Hong, Thomas E. Yankeelov, Hsin‐Chih Yeh, Yen‐Liang Liu, Mirae Kim

The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy

European Journal of Radiology(2021)10.1016/j.ejrad.2021.109534

N/A

0DataRank · unranked

4 citations

Garrett Kuketz, Erin M. Higgins, Chengyue Wu, Anna G. Sorace, Julie C. DiCarlo +5 more

Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.24.445407

N/A

0DataRank · unranked

2 citations

Tyler A. Jost, Thomas E. Yankeelov, Amy Brock, Grant Howard

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.01.470781

N/A

0DataRank · unranked

0 citations

Grant Howard, Amy Brock, Thomas E. Yankeelov, Guillermo Lorenzo, Emily Y. Yang

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

Quantification of long-term doxorubicin response dynamics in breast cancer cell lines to direct treatment schedules

PLoS Computational Biology(2022)10.1371/journal.pcbi.1009104

N/A

0DataRank · unranked

31 citations

Tyler A. Jost, Thomas E. Yankeelov, Amy Brock, Grant Howard

Thomas E. Yankeelov

Indexed papers

Top data-sharing exemplar

Papers