John Virostko
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
-
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- MRI in cancer diagnosis 16
- Radiomics and Machine Learning in Medical Imaging 10
- Medical Imaging Techniques and Applications 8
- Advanced MRI Techniques and Applications 8
- Surgery 17
- Pancreatic function and diabetes 13
- Co-authors
- Alvin C. Powers (23 shared papers)Thomas E. Yankeelov (21 shared papers)E. Jansen (9 shared papers)Boone Goodgame (13 shared papers)Debra A. Patt (12 shared papers)David A. Hormuth (9 shared papers)Greg Poffenberger (5 shared papers)Daniel J. Moore (9 shared papers)
- Journals
- PLoS ONE (6 papers)Tomography (3 papers)Molecular Imaging and Biology (3 papers)Cancer Research (3 papers)Magnetic Resonance in Medicine (2 papers)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
John Virostko
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Modeling and Simulation 118
- Radiology, Nuclear Medicine and Imaging 345
- Health Informatics 20
- Endocrinology, Diabetes and Metabolism 151
- Surgery 346
Countries citing papers authored by John Virostko
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
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-authors
The 25 scholars most cited alongside John Virostko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 82 | |
| 2 | 2008 | 82 | |
| 3 | 2005 | 80 | |
| 4 | 2019 | 79 | |
| 5 | 2022 | 75 | |
| 6 | 2020 | 64 | |
| 7 | 2009 | 58 | |
| 8 | 2018 | 57 | |
| 9 | 2004 | 54 | |
| 10 | 2018 | 43 | |
| 11 | 2014 | 43 | |
| 12 | 2007 | 40 | |
| 13 | 2020 | 39 | |
| 14 | 2022 | 34 | |
| 15 | 2019 | 29 | |
| 16 | 2021 | 27 | |
| 17 | 2016 | 27 | |
| 18 | 2006 | 26 | |
| 19 | 2011 | 25 | |
| 20 | 2017 | 22 |
About John Virostko
John Virostko is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology, Oncology and Modeling and Simulation, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (16 papers), Pancreatic function and diabetes (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (8 papers), Mathematical Biology Tumor Growth (6 papers), Diabetes and associated disorders (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Modeling and Simulation (118 citations), Radiology, Nuclear Medicine and Imaging (345 citations), Health Informatics (20 citations), Endocrinology, Diabetes and Metabolism (151 citations) and Surgery (346 citations). John Virostko has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Alvin C. Powers, Thomas E. Yankeelov, E. Jansen, Boone Goodgame, Debra A. Patt, David A. Hormuth, Greg Poffenberger, Daniel J. Moore, Anna G. Sorace and Anna Capasso. Their work appears in journals such as PLoS ONE, Tomography, Molecular Imaging and Biology, Cancer Research and Magnetic Resonance in Medicine.
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.