John Virostko

2.1k total citations
70 papers, 1.4k citations indexed

About

John Virostko is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Genetics. According to data from OpenAlex, John Virostko has authored 70 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Surgery and 12 papers in Genetics. Recurrent topics in John Virostko's work include MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Pancreatic function and diabetes (15 papers). John Virostko is often cited by papers focused on MRI in cancer diagnosis (17 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Pancreatic function and diabetes (15 papers). John Virostko collaborates with scholars based in United States, Italy and Australia. John Virostko's co-authors include Alvin C. Powers, Thomas E. Yankeelov, E. Jansen, Boone Goodgame, David A. Hormuth, Debra A. Patt, Greg Poffenberger, Melissa A. Hilmes, Anna G. Sorace and Daniel J. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Gastroenterology and PLoS ONE.

In The Last Decade

John Virostko

63 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Virostko United States 22 476 390 311 287 238 70 1.4k
Min Ni United States 19 209 0.4× 493 1.3× 1.0k 3.4× 375 1.3× 57 0.2× 33 2.3k
Mohamed E. Abazeed United States 20 354 0.7× 112 0.3× 565 1.8× 109 0.4× 77 0.3× 67 1.6k
Cleo‐Aron Weis Germany 22 713 1.5× 223 0.6× 375 1.2× 31 0.1× 78 0.3× 71 2.3k
Ingrid M. Meszoely United States 27 923 1.9× 826 2.1× 975 3.1× 278 1.0× 210 0.9× 62 3.4k
Eliot T. McKinley United States 23 528 1.1× 170 0.4× 893 2.9× 92 0.3× 204 0.9× 52 1.9k
T. Gade United States 21 335 0.7× 258 0.7× 820 2.6× 87 0.3× 302 1.3× 80 2.1k
Marc Salzberg Switzerland 17 195 0.4× 96 0.2× 772 2.5× 94 0.3× 330 1.4× 39 2.1k
John T. Leith United States 29 618 1.3× 114 0.3× 928 3.0× 124 0.4× 249 1.0× 131 2.4k
Ivan M. Blasutig Canada 17 134 0.3× 172 0.4× 931 3.0× 188 0.7× 187 0.8× 37 2.2k
Xiaobo Zhou United States 25 258 0.5× 158 0.4× 696 2.2× 78 0.3× 99 0.4× 50 1.6k

Countries citing papers authored by John Virostko

Since Specialization
Citations

This map shows the geographic impact of John Virostko'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 John Virostko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Virostko more than expected).

Fields of papers citing papers by John Virostko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Virostko. 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 John Virostko. The network helps show where John Virostko may publish in the future.

Co-authorship network of co-authors of John Virostko

This figure shows the co-authorship network connecting the top 25 collaborators of John Virostko. A scholar is included among the top collaborators of John Virostko 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 John Virostko. John Virostko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Wilson, Christopher, Jonathan M. Williams, Melissa A. Hilmes, et al.. (2025). Use of Teplizumab to Modulate Stage 2 Type 1 Diabetes in Two Individuals With Autoimmune Polyendocrine Syndrome 1. Diabetes Care. 49(1). 111–117.
3.
Gupta, Pooja, et al.. (2024). Can generative AI improve the readability of patient education materials at a radiology practice?. Clinical Radiology. 79(11). e1366–e1371. 6 indexed citations
4.
Moraes, Augusto César Ferreira de, et al.. (2024). Cardiovascular health profile is favorably associated with brain health and neurocognitive development in adolescents. Mental health and physical activity. 27. 100611–100611. 2 indexed citations
5.
Virostko, John, et al.. (2024). Large language models in radiology: Fluctuating performance and decreasing discordance over time. European Journal of Radiology. 182. 111842–111842. 4 indexed citations
6.
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
7.
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
8.
Wu, Chengyue, Guillermo Lorenzo, David A. Hormuth, et al.. (2022). Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology. PubMed. 3(2). 21304–21304. 68 indexed citations
9.
Hormuth, David A., Tessa Davis, Gibraan Rahman, et al.. (2022). Quantifying Tumor Heterogeneity via MRI Habitats to Characterize Microenvironmental Alterations in HER2+ Breast Cancer. Cancers. 14(7). 1837–1837. 31 indexed citations
10.
DiCarlo, Julie C., et al.. (2022). An untrained deep learning method for reconstructing dynamic MR images from accelerated model‐based data. Magnetic Resonance in Medicine. 89(4). 1617–1633. 4 indexed citations
11.
DiCarlo, Julie C., John Virostko, Anna G. Sorace, et al.. (2021). Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer. Tomography. 7(3). 253–267. 2 indexed citations
12.
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
13.
Virostko, John, Chengyue Wu, Anna G. Sorace, et al.. (2021). The rate of breast fibroglandular enhancement during dynamic contrast-enhanced MRI reflects response to neoadjuvant therapy. European Journal of Radiology. 136. 109534–109534. 2 indexed citations
14.
Virostko, John, David A. Hormuth, Junyan Liu, et al.. (2021). An experimental-mathematical approach to predict tumor cell growth as a function of glucose availability in breast cancer cell lines. PLoS ONE. 16(7). e0240765–e0240765. 13 indexed citations
15.
Virostko, John, Anna G. Sorace, Angela M. Jarrett, et al.. (2021). Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting. Breast Cancer Research. 23(1). 110–110. 10 indexed citations
16.
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
17.
Cassat, James E., Jessica L. Moore, Kevin J. Wilson, et al.. (2018). Integrated molecular imaging reveals tissue heterogeneity driving host-pathogen interactions. Science Translational Medicine. 10(432). 57 indexed citations
18.
Dou, Shuping, John Virostko, Dale L. Greiner, Alvin C. Powers, & Guozheng Liu. (2015). A Feasible Approach to Evaluate the Relative Reactivity of NHS-Ester Activated Group with Primary Amine-Derivatized DNA Analogue and Non-Derivatized Impurity. Nucleosides Nucleotides & Nucleic Acids. 34(2). 69–78. 9 indexed citations
19.
Xie, Jingping, Chunxia Wang, John Virostko, et al.. (2013). A Novel Reporter System for Molecular Imaging and High‐Throughput Screening of Anticancer Drugs. ChemBioChem. 14(12). 1494–1503. 6 indexed citations
20.
Manning, H. Charles, Nipun B. Merchant, John Virostko, et al.. (2008). Molecular Imaging of Therapeutic Response to Epidermal Growth Factor Receptor Blockade in Colorectal Cancer. Clinical Cancer Research. 14(22). 7413–7422. 82 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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