Jared A. Weis

2.8k citations
70 papers · 2.1k · h-index 26

Impact in

Papers in

    • MRI in cancer diagnosis 12
    • Medical Imaging Techniques and Applications 11
    • Ultrasound Imaging and Elastography 6
    • Radiomics and Machine Learning in Medical Imaging 6
    • Advanced MRI Techniques and Applications 6
    • Elasticity and Material Modeling 7

Jared A. Weis

69 papers receiving 2.1k citations

Peers

Jared A. Weis
Comparison fields: 5 of 122
  • Modeling and Simulation 320
  • Genetics 432
  • Radiology, Nuclear Medicine and Imaging 385
  • Urology 83
  • Cancer Research 204
Replace Ben D. MacArthur with:
Ben D. MacArthur United Kingdom
Philippe Tracqui France
Xiaobo Zhou United States
Ingmar Glauche Germany
Yousof Gheisari Iran
Glenn Bauman Canada
Andreas Friedl United States
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Ricky T. Tong United States
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Citations per field
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Citations per year

Countries citing papers authored by Jared A. Weis

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Jared A. Weis Line = papers co-authored together Jared A. Weis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009413
2 2008148
3 2007140
4 2013134
5 201581
6 201174
7 202070
8 201766
9 201460
10 201659
11 201358
12 202149
13 201649
14 201744
15 201541
16 201740
17 199135
18 201532
19 201831
20 201929

About Jared A. Weis

Jared A. Weis is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Modeling and Simulation, Surgery and Genetics, having authored 70 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (15 papers), MRI in cancer diagnosis (12 papers), Medical Imaging Techniques and Applications (11 papers), Elasticity and Material Modeling (7 papers), Ultrasound Imaging and Elastography (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced MRI Techniques and Applications (6 papers) and Glioma Diagnosis and Treatment (6 papers). The work is most often cited by research in Modeling and Simulation (320 citations), Genetics (432 citations), Radiology, Nuclear Medicine and Imaging (385 citations), Urology (83 citations) and Cancer Research (204 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, Lynda O’Rear, Douglas P. Mortlock, Timothy J. Myers, Vito Quaranta and David A. Hormuth. Their work appears in journals such as Medical Physics, International Journal of Radiation Oncology*Biology*Physics, Scientific Reports, Physics in Medicine and Biology and Cancer Research.

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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