Angela M. Jarrett

1.5k total citations
41 papers, 829 citations indexed

About

Angela M. Jarrett is a scholar working on Radiology, Nuclear Medicine and Imaging, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Angela M. Jarrett has authored 41 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 17 papers in Modeling and Simulation and 9 papers in Molecular Biology. Recurrent topics in Angela M. Jarrett's work include MRI in cancer diagnosis (17 papers), Mathematical Biology Tumor Growth (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Angela M. Jarrett is often cited by papers focused on MRI in cancer diagnosis (17 papers), Mathematical Biology Tumor Growth (17 papers) and Radiomics and Machine Learning in Medical Imaging (14 papers). Angela M. Jarrett collaborates with scholars based in United States, Italy and Switzerland. Angela M. Jarrett's co-authors include Thomas E. Yankeelov, David A. Hormuth, Ernesto A. B. F. Lima, Xinzeng Feng, Anna G. Sorace, Matthew T. McKenna, Debra A. Patt, John Virostko, Chengyue Wu and Amy Brock and has published in prestigious journals such as Cancer Research, Scientific Reports and Nature Protocols.

In The Last Decade

Angela M. Jarrett

39 papers receiving 823 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Angela M. Jarrett United States	20	352	322	194	183	173	41	829
Ernesto A. B. F. Lima United States	19	520 1.5×	210 0.7×	184 0.9×	238 1.3×	162 0.9×	45	992
Gibin Powathil United Kingdom	15	364 1.0×	137 0.4×	193 1.0×	229 1.3×	190 1.1×	28	717
Morgan Craig Canada	16	184 0.5×	51 0.2×	142 0.7×	234 1.3×	72 0.4×	50	785
Antje‐Christine Walz Switzerland	15	59 0.2×	166 0.5×	349 1.8×	402 2.2×	84 0.5×	34	892
Irina Kareva United States	16	171 0.5×	67 0.2×	362 1.9×	307 1.7×	235 1.4×	44	836
Chang Gong United States	15	222 0.6×	90 0.3×	324 1.7×	317 1.7×	182 1.1×	27	762
Hanwen Wang United States	16	125 0.4×	172 0.5×	303 1.6×	210 1.1×	136 0.8×	37	684
Kerri‐Ann Norton United States	13	167 0.5×	53 0.2×	307 1.6×	239 1.3×	115 0.7×	22	632
Yuri Kogan Israel	14	362 1.0×	50 0.2×	317 1.6×	248 1.4×	97 0.6×	33	626
Jiguang Bao China	20	142 0.4×	29 0.1×	108 0.6×	295 1.6×	134 0.8×	82	1.2k

Countries citing papers authored by Angela M. Jarrett

Since Specialization

Citations

This map shows the geographic impact of Angela M. Jarrett's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Angela M. Jarrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angela M. Jarrett more than expected).

Fields of papers citing papers by Angela M. Jarrett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela M. Jarrett. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Angela M. Jarrett. The network helps show where Angela M. Jarrett may publish in the future.

Co-authorship network of co-authors of Angela M. Jarrett

This figure shows the co-authorship network connecting the top 25 collaborators of Angela M. Jarrett. A scholar is included among the top collaborators of Angela M. Jarrett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Angela M. Jarrett. Angela M. Jarrett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Jarrett, Angela M., et al.. (2024). A Model of Gastric Mucosal pH Regulation: Extending Sensitivity Analysis Using Sobol’ Indices to Understand Higher Moments. Bulletin of Mathematical Biology. 86(7). 77–77.

Jarrett, Angela M., et al.. (2023). Investigating tumor-host response dynamics in preclinical immunotherapy experiments using a stepwise mathematical modeling strategy. Mathematical Biosciences. 366. 109106–109106. 1 indexed citations

Lima, Ernesto A. B. F., Chengyue Wu, Angela M. Jarrett, et al.. (2023). Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting. Journal of Computational Science. 69. 102006–102006. 4 indexed citations

Lorenzo, Guillermo, Angela M. Jarrett, Christian T. Meyer, et al.. (2023). 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. 40(3). 1469–1499. 3 indexed citations

Wu, Chengyue, Angela M. Jarrett, Zijian Zhou, et al.. (2022). MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer. Cancer Research. 82(18). 3394–3404. 45 indexed citations

DiCarlo, Julie C., Angela M. Jarrett, John Virostko, et al.. (2022). Analysis of simplicial complexes to determine when to sample for quantitative DCE MRI of the breast. Magnetic Resonance in Medicine. 89(3). 1134–1150. 2 indexed citations

Jarrett, Angela M., Chengyue Wu, John Virostko, et al.. (2021). Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting. Nature Protocols. 16(11). 5309–5338. 26 indexed citations

Hormuth, David A., Chengyue Wu, Ernesto A. B. F. Lima, et al.. (2021). Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data. Cancers. 13(12). 3008–3008. 37 indexed citations

Hormuth, David A., Angela M. Jarrett, Guillermo Lorenzo, et al.. (2021). Math, magnets, and medicine: enabling personalized oncology. Expert Review of Precision Medicine and Drug Development. 6(2). 79–81. 20 indexed citations

10.

Jarrett, Angela M., David A. Hormuth, Vikram Adhikarla, et al.. (2020). 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. 10(1). 20518–20518. 27 indexed citations

11.

Jarrett, Angela M., David A. Hormuth, Chengyue Wu, et al.. (2020). Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data. Neoplasia. 22(12). 820–830. 38 indexed citations

12.

Hormuth, David A., Angela M. Jarrett, Kaitlyn E. Johnson, et al.. (2020). Integrating Quantitative Assays with Biologically Based Mathematical Modeling for Predictive Oncology. iScience. 23(12). 101807–101807. 27 indexed citations

13.

Jarrett, Angela M., David A. Hormuth, Chengyue Wu, et al.. (2020). Abstract P2-16-17: Optimizing neoadjuvant regimens for individual breast cancer patients generated by a mathematical model utilizing quantitative magnetic resonance imaging data: Preliminary results. Cancer Research. 80(4_Supplement). P2–16. 4 indexed citations

14.

Jarrett, Angela M., et al.. (2019). Experimentally-driven mathematical modeling to improve combination targeted and cytotoxic therapy for HER2+ breast cancer. Scientific Reports. 9(1). 12830–12830. 30 indexed citations

15.

Virostko, John, Anna G. Sorace, Chengyue Wu, et al.. (2019). Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy. Tomography. 5(1). 44–52. 6 indexed citations

16.

Yankeelov, Thomas E., et al.. (2019). Multi-Scale Imaging to Enable Multi-Scale Modeling for Predicting Tumor Growth and Treatment Response. Biophysical Journal. 116(3). 323a–324a.

17.

Hormuth, David A., Angela M. Jarrett, Ernesto A. B. F. Lima, et al.. (2019). Mechanism-Based Modeling of Tumor Growth and Treatment Response Constrained by Multiparametric Imaging Data. JCO Clinical Cancer Informatics. 3(3). 1–10. 26 indexed citations

18.

Jarrett, Angela M., Ernesto A. B. F. Lima, David A. Hormuth, et al.. (2018). Mathematical models of tumor cell proliferation: A review of the literature. Expert Review of Anticancer Therapy. 18(12). 1271–1286. 101 indexed citations

19.

Jarrett, Angela M., et al.. (2018). Mathematical modelling of trastuzumab-induced immune response in an in vivo murine model of HER2+ breast cancer. Mathematical Medicine and Biology A Journal of the IMA. 36(3). 381–410. 31 indexed citations

20.

Jarrett, Angela M., David A. Hormuth, Stephanie L. Barnes, et al.. (2018). Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results. Physics in Medicine and Biology. 63(10). 105015–105015. 32 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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