Jose Net
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
Papers in
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
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- Breast Cancer Treatment Studies 7
- Co-authors
- Elizabeth A. Morris (7 shared papers)Elizabeth J. Sutton (7 shared papers)Maryellen L. Giger (6 shared papers)Elizabeth S. Burnside (7 shared papers)Gary J. Whitman (7 shared papers)Erich P. Huang (4 shared papers)Karen Drukker (5 shared papers)Hui Li (5 shared papers)
- Journals
- Breast Disease (2 papers)Radiology (1 paper)Cancer Control (1 paper)Cancer (1 paper)Radiographics (1 paper)
- Partner nations
- United StatesCanadaUkraine
In The Last Decade
Jose Net
24 papers receiving 901 citations
Jose Net's Hit Papers
Peers
Comparison fields: 5 of 45
- Radiology, Nuclear Medicine and Imaging 628
- Health Informatics 36
- Cancer Research 124
- Artificial Intelligence 219
- Oncology 87
Countries citing papers authored by Jose Net
This map shows the geographic impact of Jose Net'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 Jose Net with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose Net more than expected).
Fields of papers citing papers by Jose Net
This network shows the impact of papers produced by Jose Net. 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 Jose Net. The network helps show where Jose Net may publish in the future.
Co-authors
The 25 scholars most cited alongside Jose Net, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays Hit paper breakdown → | 2016 | 384 |
| 2 | Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set Hit paper breakdown → | 2016 | 301 |
| 3 | 2015 | 58 | |
| 4 | 2014 | 32 | |
| 5 | 2017 | 30 | |
| 6 | 2014 | 20 | |
| 7 | 2018 | 16 | |
| 8 | 2022 | 11 | |
| 9 | 2013 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2017 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Jose Net
Jose Net is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Dermatology and Surgery, having authored 27 papers that have together received 912 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Breast Lesions and Carcinomas (6 papers), MRI in cancer diagnosis (5 papers), Cancer and Skin Lesions (4 papers), Lymphadenopathy Diagnosis and Analysis (2 papers), Global Cancer Incidence and Screening (2 papers) and Breast Implant and Reconstruction (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (628 citations), Health Informatics (36 citations), Cancer Research (124 citations), Artificial Intelligence (219 citations) and Oncology (87 citations). Jose Net has collaborated with scholars based in United States, Canada and Ukraine. Frequent co-authors include Elizabeth A. Morris, Elizabeth J. Sutton, Maryellen L. Giger, Elizabeth S. Burnside, Gary J. Whitman, Erich P. Huang, Karen Drukker, Hui Li, Suzanne D. Conzen and Yuan Ji. Their work appears in journals such as Breast Disease, Radiology, Cancer Control, Cancer and Radiographics.
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.