Nathaniel Braman
Impact in
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
- Health Informatics top 2%
Papers in
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- Radiomics and Machine Learning in Medical Imaging 19
- MRI in cancer diagnosis 5
- Medical Imaging Techniques and Applications 4
-
- Lung Cancer Diagnosis and Treatment 2
- Co-authors
- Anant Madabhushi (20 shared papers)Kaustav Bera (9 shared papers)Vamsidhar Velcheti (5 shared papers)Amit Gupta (4 shared papers)Prateek Prasanna (7 shared papers)Pallavi Tiwari (3 shared papers)Donna Plecha (5 shared papers)Maryam Etesami (5 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Clinical Cancer Research (2 papers)JAMA Network Open (1 paper)Radiology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Nathaniel Braman
19 papers receiving 1.6k citations
Nathaniel Braman's Hit Papers
Peers
Comparison fields: 5 of 71
- Radiology, Nuclear Medicine and Imaging 1.5k
- Health Informatics 70
- Pulmonary and Respiratory Medicine 496
- Hepatology 104
- Cancer Research 166
Countries citing papers authored by Nathaniel Braman
This map shows the geographic impact of Nathaniel Braman'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 Nathaniel Braman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Braman more than expected).
Fields of papers citing papers by Nathaniel Braman
This network shows the impact of papers produced by Nathaniel Braman. 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 Nathaniel Braman. The network helps show where Nathaniel Braman may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel Braman, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting cancer outcomes with radiomics and artificial intelligence in radiology Hit paper breakdown → | 2021 | 482 |
| 2 | Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI Hit paper breakdown → | 2017 | 479 |
| 3 | 2018 | 238 | |
| 4 | Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer Hit paper breakdown → | 2019 | 235 |
| 5 | 2020 | 92 | |
| 6 | 2018 | 41 | |
| 7 | 2021 | 22 | |
| 8 | 2022 | 19 | |
| 9 | 2020 | 17 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 3 | |
| 13 | Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. | 2020 | 2 |
| 14 | 2020 | 2 | |
| 15 | 2020 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2018 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Nathaniel Braman
Nathaniel Braman is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Oncology, Artificial Intelligence and Epidemiology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (19 papers), MRI in cancer diagnosis (5 papers), Medical Imaging Techniques and Applications (4 papers), AI in cancer detection (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Colorectal Cancer Treatments and Studies (2 papers), HER2/EGFR in Cancer Research (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.5k citations), Health Informatics (70 citations), Pulmonary and Respiratory Medicine (496 citations), Hepatology (104 citations) and Cancer Research (166 citations). Nathaniel Braman has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, Amit Gupta, Prateek Prasanna, Pallavi Tiwari, Donna Plecha, Maryam Etesami, Hannah Gilmore and Christina Dubchuk. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, JAMA Network Open, Radiology and Nature Communications.
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.