Jacob Antunes
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
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- Glioma Diagnosis and Treatment
Papers in
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- Radiomics and Machine Learning in Medical Imaging 7
- MRI in cancer diagnosis 2
- Oncology 6
- Colorectal Cancer Surgical Treatments 6
- Colorectal Cancer Screening and Detection 1
- Co-authors
- Anant Madabhushi (7 shared papers)Satish E. Viswanath (9 shared papers)Mirabela Rusu (1 shared paper)Norbert Avril (1 shared paper)Kaustav Bera (6 shared papers)Christopher Hoimes (1 shared paper)Laia Valls (1 shared paper)Pallavi Tiwari (4 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Cancers (1 paper)npj Precision Oncology (1 paper)Translational Oncology (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)
- Partner nations
- United StatesColombia
In The Last Decade
Jacob Antunes
10 papers receiving 287 citations
Peers
Comparison fields: 5 of 36
- Radiology, Nuclear Medicine and Imaging 178
- Genetics 52
- Health Informatics 5
- Oncology 60
- Pulmonary and Respiratory Medicine 65
Countries citing papers authored by Jacob Antunes
This map shows the geographic impact of Jacob Antunes'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 Jacob Antunes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Antunes more than expected).
Fields of papers citing papers by Jacob Antunes
This network shows the impact of papers produced by Jacob Antunes. 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 Jacob Antunes. The network helps show where Jacob Antunes may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacob Antunes, 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 | 2020 | 96 | |
| 2 | 2016 | 83 | |
| 3 | 2020 | 53 | |
| 4 | 2020 | 27 | |
| 5 | 2018 | 8 | |
| 6 | 2022 | 8 | |
| 7 | 2023 | 5 | |
| 8 | 2019 | 4 | |
| 9 | 2020 | 3 | |
| 10 | 2020 | 1 | |
| 11 | 2025 | 0 |
About Jacob Antunes
Jacob Antunes is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Biomedical Engineering, Surgery and Molecular Biology, having authored 11 papers that have together received 288 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Colorectal Cancer Surgical Treatments (6 papers), MRI in cancer diagnosis (2 papers), Autism Spectrum Disorder Research (1 paper), Renal cell carcinoma treatment (1 paper), Advanced X-ray and CT Imaging (1 paper), Functional Brain Connectivity Studies (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (178 citations), Genetics (52 citations), Health Informatics (5 citations), Oncology (60 citations) and Pulmonary and Respiratory Medicine (65 citations). Jacob Antunes has collaborated with scholars based in United States and Colombia. Frequent co-authors include Anant Madabhushi, Satish E. Viswanath, Mirabela Rusu, Norbert Avril, Kaustav Bera, Christopher Hoimes, Laia Valls, Pallavi Tiwari, Marwa Ismail and Ruchika Verma. Their work appears in journals such as Clinical Cancer Research, Cancers, npj Precision Oncology, Translational Oncology and IEEE Journal of Biomedical and Health Informatics.
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.