Andre Esteva
Impact in
- Health Informatics top 0.01%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.05%
- Artificial Intelligence in Healthcare
Papers in
-
- AI in cancer detection 10
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- Radiomics and Machine Learning in Medical Imaging 10
- COVID-19 diagnosis using AI 2
- Co-authors
- Sebastian Thrun (3 shared papers)Justin Ko (3 shared papers)Roberto A. Novoa (2 shared papers)Susan M. Swetter (1 shared paper)Helen M. Blau (1 shared paper)Katherine Chou (2 shared papers)Jeff Dean (2 shared papers)Greg S. Corrado (1 shared paper)
- Journals
- Journal of Clinical Oncology (9 papers)npj Digital Medicine (3 papers)Journal of Vision (2 papers)JCO Precision Oncology (2 papers)Journal of Investigative Dermatology (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Andre Esteva
33 papers receiving 13.3k citations
Andre Esteva's Hit Papers
Peers
Comparison fields: 5 of 208
- Health Informatics 2.1k
- Health Information Management 835
- Radiology, Nuclear Medicine and Imaging 3.4k
- Biophysics 861
- Artificial Intelligence 5.2k
Countries citing papers authored by Andre Esteva
This map shows the geographic impact of Andre Esteva'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 Andre Esteva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andre Esteva more than expected).
Fields of papers citing papers by Andre Esteva
This network shows the impact of papers produced by Andre Esteva. 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 Andre Esteva. The network helps show where Andre Esteva may publish in the future.
Co-authors
The 25 scholars most cited alongside Andre Esteva, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Dermatologist-level classification of skin cancer with deep neural networks Hit paper breakdown → | 2017 | 9151 |
| 2 | A guide to deep learning in healthcare Hit paper breakdown → | 2018 | 2791 |
| 3 | Deep learning-enabled medical computer vision Hit paper breakdown → | 2021 | 821 |
| 4 | In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images Hit paper breakdown → | 2018 | 419 |
| 5 | 2020 | 173 | |
| 6 | 2016 | 109 | |
| 7 | 2021 | 75 | |
| 8 | 2015 | 57 | |
| 9 | 2018 | 45 | |
| 10 | 2016 | 32 | |
| 11 | 2021 | 28 | |
| 12 | 2019 | 25 | |
| 13 | 2021 | 17 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2025 | 5 | |
| 20 | 2024 | 5 |
About Andre Esteva
Andre Esteva is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition and Oncology, having authored 33 papers that have together received 13.8k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), AI in cancer detection (10 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (6 papers), Cutaneous Melanoma Detection and Management (5 papers), Cell Image Analysis Techniques (4 papers), Image Retrieval and Classification Techniques (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (2.1k citations), Health Information Management (835 citations), Radiology, Nuclear Medicine and Imaging (3.4k citations), Biophysics (861 citations) and Artificial Intelligence (5.2k citations). Andre Esteva has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Sebastian Thrun, Justin Ko, Roberto A. Novoa, Susan M. Swetter, Helen M. Blau, Katherine Chou, Jeff Dean, Greg S. Corrado, Claire Cui and Bharath Ramsundar. Their work appears in journals such as Journal of Clinical Oncology, npj Digital Medicine, Journal of Vision, JCO Precision Oncology and Journal of Investigative Dermatology.
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.