Jose Net
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 5%
Papers in ⓘ
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- Radiomics and Machine Learning in Medical Imaging 9
- MRI in cancer diagnosis 8
- Medical Imaging Techniques and Applications 3
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- Breast Cancer Treatment Studies 10
- Co-authors
- Gary J. Whitman (7 shared papers)Elizabeth A. Morris (7 shared papers)Elizabeth J. Sutton (7 shared papers)Elizabeth S. Burnside (7 shared papers)Maryellen L. Giger (6 shared papers)Hui Li (5 shared papers)Karen Drukker (5 shared papers)Erich P. Huang (4 shared papers)
- Journals
- Cancer (1 paper)Journal of Surgical Research (1 paper)Annals of Surgical Oncology (1 paper)Cancer Control (1 paper)European Radiology Experimental (1 paper)
- Partner nations
- United StatesUkraineCanada
In The Last Decade
Jose Net
22 papers receiving 864 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Radiology, Nuclear Medicine and Imaging 743
- Health Informatics 30
- Cancer Research 180
- Artificial Intelligence 290
- Oncology 146
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 26 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 | 373 |
| 2 | Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set Hit paper breakdown → | 2016 | 287 |
| 3 | 2015 | 54 | |
| 4 | 2014 | 29 | |
| 5 | 2017 | 27 | |
| 6 | 2014 | 20 | |
| 7 | 2018 | 14 | |
| 8 | 2013 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2017 | 9 | |
| 11 | 2020 | 7 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2022 | 2 | |
| 16 | 2018 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Jose Net
Jose Net is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research, Pathology and Forensic Medicine, Surgery and Oncology, having authored 26 papers that have together received 870 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (8 papers), Breast Lesions and Carcinomas (7 papers), AI in cancer detection (5 papers), Global Cancer Incidence and Screening (4 papers), Cancer and Skin Lesions (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (743 citations), Health Informatics (30 citations), Cancer Research (180 citations), Artificial Intelligence (290 citations) and Oncology (146 citations). Jose Net has collaborated with scholars based in United States, Ukraine and Canada. Frequent co-authors include Gary J. Whitman, Elizabeth A. Morris, Elizabeth J. Sutton, Elizabeth S. Burnside, Maryellen L. Giger, Hui Li, Karen Drukker, Erich P. Huang, Yitan Zhu and Yuan Ji. Their work appears in journals such as Cancer, Journal of Surgical Research, Annals of Surgical Oncology, Cancer Control and European Radiology Experimental.
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.