Nathaniel M. 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
-
- Radiomics and Machine Learning in Medical Imaging 16
- MRI in cancer diagnosis 3
-
- AI in cancer detection 9
- Co-authors
- Anant Madabhushi (17 shared papers)Kaustav Bera (9 shared papers)Vamsidhar Velcheti (3 shared papers)Amit Banwari Gupta (3 shared papers)Prateek Prasanna (8 shared papers)Pallavi Tiwari (3 shared papers)Maryam Etesami (5 shared papers)Donna M. Plecha (5 shared papers)
- Journals
- JAMA Network Open (2 papers)Clinical Cancer Research (2 papers)British Journal of Ophthalmology (1 paper)Journal of Proteome Research (1 paper)Nature Reviews Clinical Oncology (1 paper)
- Partner nations
- United StatesItalyChina
In The Last Decade
Nathaniel M. Braman
22 papers receiving 1.9k citations
Nathaniel M. Braman's Hit Papers
Peers
Comparison fields: 5 of 80
- Radiology, Nuclear Medicine and Imaging 1.1k
- Health Informatics 70
- Hepatology 84
- Pulmonary and Respiratory Medicine 311
- Cancer Research 121
Countries citing papers authored by Nathaniel M. Braman
This map shows the geographic impact of Nathaniel M. 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 M. 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 M. Braman more than expected).
Fields of papers citing papers by Nathaniel M. Braman
This network shows the impact of papers produced by Nathaniel M. 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 M. Braman. The network helps show where Nathaniel M. Braman may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel M. 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 23 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 | 591 |
| 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 | 521 |
| 3 | Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2) –Positive Breast Cancer Hit paper breakdown → | 2019 | 268 |
| 4 | 2018 | 266 | |
| 5 | 2020 | 109 | |
| 6 | 2018 | 50 | |
| 7 | 2017 | 31 | |
| 8 | 2021 | 28 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 11 | |
| 13 | 2019 | 7 | |
| 14 | 2023 | 5 | |
| 15 | 2020 | 3 | |
| 16 | 2020 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2022 | 3 | |
| 19 | Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study. | 2020 | 2 |
| 20 | 2020 | 1 |
About Nathaniel M. Braman
Nathaniel M. Braman is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Pulmonary and Respiratory Medicine, Biophysics and Oncology, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (16 papers), AI in cancer detection (9 papers), MRI in cancer diagnosis (3 papers), Lung Cancer Diagnosis and Treatment (2 papers), Advanced X-ray and CT Imaging (2 papers), Medical Imaging and Analysis (1 paper), Cell Image Analysis Techniques (1 paper) and Digital Imaging for Blood Diseases (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Health Informatics (70 citations), Hepatology (84 citations), Pulmonary and Respiratory Medicine (311 citations) and Cancer Research (121 citations). Nathaniel M. Braman has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Anant Madabhushi, Kaustav Bera, Vamsidhar Velcheti, Amit Banwari Gupta, Prateek Prasanna, Pallavi Tiwari, Maryam Etesami, Donna M. Plecha, Hannah L. Gilmore and Christina Dubchuk. Their work appears in journals such as JAMA Network Open, Clinical Cancer Research, British Journal of Ophthalmology, Journal of Proteome Research and Nature Reviews Clinical Oncology.
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.