Andre Esteva

24.2k total citations · 4 hit papers
30 papers, 11.9k citations indexed

About

Andre Esteva is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andre Esteva has authored 30 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Artificial Intelligence and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andre Esteva's work include Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (10 papers) and Prostate Cancer Treatment and Research (9 papers). Andre Esteva is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), AI in cancer detection (10 papers) and Prostate Cancer Treatment and Research (9 papers). Andre Esteva collaborates with scholars based in United States, Canada and United Kingdom. Andre Esteva's co-authors include Sebastian Thrun, Justin Ko, Roberto A. Novoa, Susan M. Swetter, Helen M. Blau, Jeff Dean, Katherine Chou, Claire Cui, Volodymyr Kuleshov and Greg S. Corrado and has published in prestigious journals such as Nature, Cell and The Lancet.

In The Last Decade

Andre Esteva

27 papers receiving 11.5k citations

Hit Papers

Dermatologist-level classification of skin cancer with de... 2017 2026 2020 2023 2017 2018 2021 2018 2.5k 5.0k 7.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dermatologist-level classification of skin cancer with deep neural networks
    2017 7.9k citations Andre Esteva, Roberto A. Novoa et al. Nature profile →
  2. A guide to deep learning in healthcare
    2018 2.4k citations Andre Esteva, Bharath Ramsundar et al. Nature Medicine profile →
  3. Deep learning-enabled medical computer vision
    2021 718 citations Andre Esteva, Katherine Chou et al. npj Digital Medicine profile →
  4. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images
    2018 394 citations Eric Christiansen, Samuel Yang et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andre Esteva United States 13 4.9k 3.6k 2.2k 2.0k 1.5k 30 11.9k
Justin Ko United States 22 3.7k 0.8× 2.6k 0.7× 2.3k 1.1× 1.3k 0.7× 1.0k 0.7× 89 9.8k
Roberto A. Novoa United States 15 3.5k 0.7× 2.5k 0.7× 2.3k 1.0× 1.2k 0.6× 1.0k 0.7× 78 8.7k
Liron Pantanowitz United States 54 4.4k 0.9× 2.7k 0.8× 4.0k 1.8× 746 0.4× 1.0k 0.7× 609 12.8k
Jakob Nikolas Kather Germany 44 3.3k 0.7× 3.3k 0.9× 2.1k 0.9× 1.2k 0.6× 709 0.5× 214 7.7k
Susan M. Swetter United States 42 3.7k 0.8× 2.7k 0.7× 6.7k 3.1× 1.2k 0.6× 1.0k 0.7× 141 15.1k
Jeroen van der Laak Netherlands 48 7.8k 1.6× 7.2k 2.0× 2.0k 0.9× 881 0.4× 4.1k 2.7× 207 17.0k
Daniel L. Rubin United States 63 5.9k 1.2× 8.2k 2.3× 1.3k 0.6× 1.2k 0.6× 2.2k 1.4× 366 15.9k
Francesco Ciompi Netherlands 28 5.7k 1.2× 6.6k 1.8× 1.2k 0.5× 629 0.3× 3.4k 2.2× 103 12.6k
Anil V. Parwani United States 56 4.2k 0.9× 2.9k 0.8× 2.7k 1.2× 689 0.3× 913 0.6× 493 13.5k
Geert Litjens Netherlands 37 7.9k 1.6× 8.4k 2.3× 1.4k 0.6× 894 0.5× 4.4k 2.8× 101 16.1k

Countries citing papers authored by Andre Esteva

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Andre Esteva

This figure shows the co-authorship network connecting the top 25 collaborators of Andre Esteva. A scholar is included among the top collaborators of Andre Esteva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andre Esteva. Andre Esteva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bjartell, Anders, Agnieszka Krzyzanowska, Trevor J. Royce, et al.. (2025). Validation of a Digital Pathology–Based Multimodal Artificial Intelligence Biomarker in a Prospective, Real-World Prostate Cancer Cohort Treated with Prostatectomy. Clinical Cancer Research. 31(8). 1546–1553. 1 indexed citations
2.
3.
Tward, Jonathan D., Huei–Chung Huang, Andre Esteva, et al.. (2024). Prostate Cancer Risk Stratification in NRG Oncology Phase III Randomized Trials Using Multimodal Deep Learning With Digital Histopathology. JCO Precision Oncology. 8(8). e2400145–e2400145. 5 indexed citations
4.
5.
Kreipe, Hans, Oleg Gluz, Matthias Christgen, et al.. (2024). Multimodal artificial intelligence models from baseline histopathology to predict prognosis in HR+ HER2- early breast cancer: Subgroup analysis.. Journal of Clinical Oncology. 42(16_suppl). 101–101. 2 indexed citations
6.
7.
Spratt, Daniel E., Rikiya Yamashita, Sandy DeVries, et al.. (2023). Patient-level data meta-analysis of a multi-modal artificial intelligence (MMAI) prognostic biomarker in high-risk prostate cancer: Results from six NRG/RTOG phase III randomized trials.. Journal of Clinical Oncology. 41(6_suppl). 299–299. 2 indexed citations
8.
Roach, Mack, Jingbin Zhang, Andre Esteva, et al.. (2022). Prostate cancer risk in African American men evaluated via digital histopathology multi-modal deep learning models developed on NRG Oncology phase III clinical trials.. Journal of Clinical Oncology. 40(16_suppl). 108–108. 3 indexed citations
9.
Jhun, Iny, Jeffrey Nirschl, Joshua Wheeler, et al.. (2021). Biological data annotation via a human-augmenting AI-based labeling system. npj Digital Medicine. 4(1). 145–145. 24 indexed citations
10.
Taylor, Matthew, Xiaoxuan Liu, Alastair K. Denniston, et al.. (2021). Raising the Bar for Randomized Trials Involving Artificial Intelligence: The SPIRIT-Artificial Intelligence and CONSORT-Artificial Intelligence Guidelines. Journal of Investigative Dermatology. 141(9). 2109–2111. 16 indexed citations
11.
Esteva, Andre, Katherine Chou, Serena Yeung, et al.. (2021). Deep learning-enabled medical computer vision. npj Digital Medicine. 4(1). 5–5. 718 indexed citations breakdown →
12.
Esteva, Andre, Bharath Ramsundar, Volodymyr Kuleshov, et al.. (2018). A guide to deep learning in healthcare. Nature Medicine. 25(1). 24–29. 2350 indexed citations breakdown →
13.
Samatham, Ravikant, et al.. (2018). Melanoma Early Detection: Big Data, Bigger Picture. Journal of Investigative Dermatology. 139(1). 25–30. 40 indexed citations
14.
Christiansen, Eric, Samuel Yang, D. Michael Ando, et al.. (2018). In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images. Cell. 173(3). 792–803.e19. 394 indexed citations breakdown →
15.
Esteva, Andre, Roberto A. Novoa, Justin Ko, et al.. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature. 542(7639). 115–118. 7941 indexed citations breakdown →
16.
Esteva, Andre, et al.. (2016). Skin Cancer Detection and Tracking using Data Synthesis and Deep Learning. National Conference on Artificial Intelligence. 2 indexed citations
17.
Baldassano, Christopher, Andre Esteva, Li Fei-Fei, & Diane M. Beck. (2016). Two Distinct Scene-Processing Networks Connecting Vision and Memory. eNeuro. 3(5). ENEURO.0178–16.2016. 106 indexed citations
18.
Greene, Michelle R., Christopher Baldassano, Andre Esteva, Diane M. Beck, & Li Fei-Fei. (2015). Functions Provide a Fundamental Categorization Principle for Scenes. Journal of Vision. 15(12). 572–572. 1 indexed citations
19.
Baldassano, Christopher, Andre Esteva, Diane M. Beck, & Li Fei-Fei. (2015). Two distinct scene processing networks connecting vision and memory. Journal of Vision. 15(12). 571–571. 4 indexed citations
20.
Greene, Michelle R., Christopher Baldassano, Andre Esteva, Diane M. Beck, & Li Fei-Fei. (2015). Visual scenes are categorized by function.. Journal of Experimental Psychology General. 145(1). 82–94. 54 indexed citations

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.

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