David Brandão
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- 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 1
- Oncology 1
- Cancer Immunotherapy and Biomarkers 1
David Brandão
2 papers receiving 1.1k citations
David Brandão's Hit Papers
Peers
Comparison fields: 5 of 55
- Radiology, Nuclear Medicine and Imaging 656
- Health Informatics 47
- Oncology 272
- Pathology and Forensic Medicine 39
- Pulmonary and Respiratory Medicine 68
Countries citing papers authored by David Brandão
This map shows the geographic impact of David Brandão'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 David Brandão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Brandão more than expected).
Fields of papers citing papers by David Brandão
This network shows the impact of papers produced by David Brandão. 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 David Brandão. The network helps show where David Brandão may publish in the future.
Co-authors
The 25 scholars most cited alongside David Brandão, 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 | A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study Hit paper breakdown → | 2018 | 973 |
| 2 | 2017 | 121 |
About David Brandão
David Brandão is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 2 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (656 citations), Health Informatics (47 citations), Oncology (272 citations), Pathology and Forensic Medicine (39 citations) and Pulmonary and Respiratory Medicine (68 citations). David Brandão has collaborated with scholars based in France and Italy. Frequent co-authors include Loïc Verlingue, Aurélien Marabelle, Stéphane Champiat, Laurent Dercle, Roger Sun, Antoine Hollebecque, Andrea Lancia, Elaine Johanna Limkin, Samy Ammari and Jean‐Yves Scoazec. Their work appears in journals such as The Lancet Oncology and European Journal of Cancer.
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.