Nicolas Coudray

4.3k total citations · 1 hit paper
49 papers, 2.5k citations indexed

About

Nicolas Coudray is a scholar working on Molecular Biology, Oncology and Artificial Intelligence. According to data from OpenAlex, Nicolas Coudray has authored 49 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Oncology and 11 papers in Artificial Intelligence. Recurrent topics in Nicolas Coudray's work include AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Bacterial Genetics and Biotechnology (9 papers). Nicolas Coudray is often cited by papers focused on AI in cancer detection (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Bacterial Genetics and Biotechnology (9 papers). Nicolas Coudray collaborates with scholars based in United States, France and United Kingdom. Nicolas Coudray's co-authors include Aristotelis Tsirigos, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, David Fenyö, Narges Razavian, André L. Moreira, Paolo Ocampo, Gira Bhabha and Damian C. Ekiert and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nicolas Coudray

41 papers receiving 2.5k citations

Hit Papers

align trajectories

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.

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning

2018 1.7k citations Nicolas Coudray, Paolo Ocampo et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nicolas Coudray United States	17	1.2k	1.1k	554	495	378	49	2.5k
Clare Verrill United Kingdom	27	817 0.7×	728 0.7×	761 1.4×	722 1.5×	453 1.2×	102	2.7k
Nina Linder Finland	24	743 0.6×	633 0.6×	490 0.9×	450 0.9×	158 0.4×	57	2.1k
Gabriele Campanella United States	21	1.2k 1.0×	1.0k 1.0×	856 1.5×	912 1.8×	654 1.7×	31	3.9k
Natalie Shih United States	24	1.4k 1.2×	1.1k 1.1×	718 1.3×	494 1.0×	412 1.1×	47	2.8k
Famke Aeffner United States	19	706 0.6×	519 0.5×	329 0.6×	335 0.7×	279 0.7×	48	1.8k
Muhammad Shaban China	25	914 0.8×	785 0.7×	693 1.3×	232 0.5×	152 0.4×	54	2.9k
Darren Treanor United Kingdom	30	1.7k 1.5×	1.0k 1.0×	385 0.7×	1.2k 2.5×	498 1.3×	145	3.8k
Cleo‐Aron Weis Germany	22	844 0.7×	713 0.7×	375 0.7×	703 1.4×	215 0.6×	71	2.3k
Maode Lai China	28	904 0.8×	642 0.6×	873 1.6×	882 1.8×	343 0.9×	77	3.2k
Håvard E. Danielsen Norway	32	510 0.4×	613 0.6×	839 1.5×	810 1.6×	949 2.5×	104	3.5k

Countries citing papers authored by Nicolas Coudray

Since Specialization

Citations

This map shows the geographic impact of Nicolas Coudray'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 Nicolas Coudray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Coudray more than expected).

Fields of papers citing papers by Nicolas Coudray

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas Coudray. 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 Nicolas Coudray. The network helps show where Nicolas Coudray may publish in the future.

Co-authorship network of co-authors of Nicolas Coudray

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas Coudray. A scholar is included among the top collaborators of Nicolas Coudray 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 Nicolas Coudray. Nicolas Coudray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Fa’ak, Faisal, Nicolas Coudray, George Jour, et al.. (2025). Artificial Intelligence Algorithm Predicts Response to Immune Checkpoint Inhibitors. Clinical Cancer Research. 31(16). 3526–3536.

Wang, Shunzhi, Ryan D. Kibler, Andrew J. Borst, et al.. (2025). Bond-centric modular design of protein assemblies. Nature Materials. 24(10). 1644–1652. 1 indexed citations

Karz, Alcida, Nicolas Coudray, Erol C. Bayraktar, et al.. (2024). MetFinder: A Tool for Automated Quantitation of Metastatic Burden in Histological Sections From Preclinical Models. Pigment Cell & Melanoma Research. 38(1). e13195–e13195.

Coudray, Nicolas, Anna Yeaton, Xinyu Yang, et al.. (2024). Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides. Nature Communications. 15(1). 4596–4596. 24 indexed citations

Coudray, Nicolas, José G. Mantilla, Ke Yuan, et al.. (2024). Quantitative and Morphology-Based Deep Convolutional Neural Network Approaches for Osteosarcoma Survival Prediction in the Neoadjuvant and Metastatic Settings. Clinical Cancer Research. 31(2). 365–375. 1 indexed citations

Coudray, Nicolas, Anna Yeaton, Xinyu Yang, et al.. (2023). P1.20-06 Mapping the Histopathological Landscape of Lung Adenocarcinoma using Self-Supervised Learning Artificial Intelligence. Journal of Thoracic Oncology. 18(11). S233–S233. 1 indexed citations

Haase, Max A. B., et al.. (2023). Protein–protein interactions in the Mla lipid transport system probed by computational structure prediction and deep mutational scanning. Journal of Biological Chemistry. 299(6). 104744–104744. 15 indexed citations

Ekiert, Damian C., Nicolas Coudray, & Gira Bhabha. (2022). Structure and mechanism of the bacterial lipid ABC transporter, MlaFEDB. Current Opinion in Structural Biology. 76. 102429–102429. 16 indexed citations

Mickolajczyk, Keith J., Jonathan B. Steinman, L. Urnavicius, et al.. (2021). Targeting allostery in the Dynein motor domain with small molecule inhibitors. Cell chemical biology. 28(10). 1460–1473.e15. 4 indexed citations

10.

Wang, Yanan, Nicolas Coudray, Yun Zhao, et al.. (2021). HEAL: an automated deep learning framework for cancer histopathology image analysis. Bioinformatics. 37(22). 4291–4295. 23 indexed citations

11.

Kim, Randie H., Sofia Nomikou, Nicolas Coudray, et al.. (2021). Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas. Journal of Investigative Dermatology. 142(6). 1650–1658.e6. 27 indexed citations

12.

Johannet, Paul, Nicolas Coudray, Douglas M. Donnelly, et al.. (2020). Using Machine Learning Algorithms to Predict Immunotherapy Response in Patients with Advanced Melanoma. Clinical Cancer Research. 27(1). 131–140. 114 indexed citations

13.

Coudray, Nicolas, et al.. (2020). Structure of bacterial phospholipid transporter MlaFEDB with substrate bound. eLife. 9. 50 indexed citations

14.

Thawani, Akanksha, Nicolas Coudray, Gira Bhabha, et al.. (2020). The transition state and regulation of γ-TuRC-mediated microtubule nucleation revealed by single molecule microscopy. eLife. 9. 45 indexed citations

15.

Isom, Georgia L., et al.. (2020). LetB Structure Reveals a Tunnel for Lipid Transport across the Bacterial Envelope. Cell. 181(3). 653–664.e19. 42 indexed citations

16.

Coudray, Nicolas, Zanlin Yu, Feng Wang, et al.. (2020). Structure of the radial spoke head and insights into its role in mechanoregulation of ciliary beating. Nature Structural & Molecular Biology. 28(1). 20–28. 45 indexed citations

17.

Ocampo, Paolo, André L. Moreira, Nicolas Coudray, et al.. (2018). P1.09-32 Classification and Mutation Prediction from Non-Small Cell Lung Cancer Histopathology Images Using Deep Learning. Journal of Thoracic Oncology. 13(10). S562–S562. 13 indexed citations

18.

Coudray, Nicolas, Paolo Ocampo, Theodore Sakellaropoulos, et al.. (2018). Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning. Nature Medicine. 24(10). 1559–1567. 1738 indexed citations breakdown →

19.

Coudray, Nicolas, et al.. (2016). Structure of the Borate Transporter Bor1p by cryo-EM. Biophysical Journal. 110(3). 137a–138a. 2 indexed citations

20.

Coudray, Nicolas, et al.. (2014). Sparse and incomplete factorial matrices to screen membrane protein 2D crystallization. Journal of Structural Biology. 189(2). 123–134. 9 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.

Explore authors with similar magnitude of impact