Jared A. Weis
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Genetics top 2%
- Mesenchymal stem cell research
Papers in
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- Mathematical Biology Tumor Growth 15
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- Medical Imaging Techniques and Applications 14
- MRI in cancer diagnosis 13
- Radiomics and Machine Learning in Medical Imaging 7
- Ultrasound Imaging and Elastography 7
- Advanced MRI Techniques and Applications 7
- Co-authors
- Michael I. MigaThomas E. YankeelovAnna SpagnoliFroilán Granero‐MoltóLara LongobardiDouglas P. MortlockLynda O’RearTimothy J. Myers
- Journals
- Scientific Reports (3 papers)Medical Physics (3 papers)International Journal of Radiation Oncology*Biology*Physics (3 papers)Journal of Biomechanics (2 papers)Gut (2 papers)
- Partner nations
- United StatesSwitzerlandRussia
In The Last Decade
Jared A. Weis
69 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 337
- Genetics 513
- Radiology, Nuclear Medicine and Imaging 474
- Urology 103
- Cancer Research 224
Countries citing papers authored by Jared A. Weis
This map shows the geographic impact of Jared A. Weis'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 Jared A. Weis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jared A. Weis more than expected).
Fields of papers citing papers by Jared A. Weis
This network shows the impact of papers produced by Jared A. Weis. 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 Jared A. Weis. The network helps show where Jared A. Weis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jared A. Weis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2021 | 48 | |
| 3 | 2019 | 7 | |
| 4 | 2018 | 25 | |
| 5 | 2018 | 9 | |
| 6 | 2018 | 3 | |
| 7 | 2018 | 29 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 43 | |
| 10 | 2017 | 29 | |
| 11 | 2017 | 17 | |
| 12 | 2017 | 20 | |
| 13 | 2016 | 48 | |
| 14 | 2015 | 31 | |
| 15 | 2015 | 41 | |
| 16 | 2014 | 59 | |
| 17 | 2013 | 55 | |
| 18 | 2012 | 4 | |
| 19 | 2012 | 27 | |
| 20 | 2009 | 16 |
About Jared A. Weis
Jared A. Weis is a scholar working on Modeling and Simulation, Radiology, Nuclear Medicine and Imaging, Genetics, Radiation and Biomedical Engineering, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (15 papers), Medical Imaging Techniques and Applications (14 papers), MRI in cancer diagnosis (13 papers), Glioma Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Ultrasound Imaging and Elastography (7 papers), Advanced MRI Techniques and Applications (7 papers) and Elasticity and Material Modeling (7 papers). The work is most often cited by research in Modeling and Simulation (337 citations), Genetics (513 citations), Radiology, Nuclear Medicine and Imaging (474 citations), Urology (103 citations) and Cancer Research (224 citations). Jared A. Weis has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Michael I. Miga, Thomas E. Yankeelov, Anna Spagnoli, Froilán Granero‐Moltó, Lara Longobardi, Douglas P. Mortlock, Lynda O’Rear, Timothy J. Myers, Vito Quaranta and David A. Hormuth. Their work appears in journals such as Scientific Reports, Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Journal of Biomechanics and Gut.
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.