Nicolas Coudray

4.5k citations
55 papers · 2.8k · 1 hit paper · h-index 18

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • Drug Transport and Resistance Mechanisms 5
    • Cancer Immunotherapy and Biomarkers 5

Nicolas Coudray

46 papers receiving 2.7k citations

Nicolas Coudray's Hit Papers

Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning 2018 · 1.9k citations
1.9k0+2+5Years since publication50010001.5k

Peers

Nicolas Coudray
Comparison fields: 5 of 142
  • Health Informatics 158
  • Biophysics 262
  • Radiology, Nuclear Medicine and Imaging 929
  • Structural Biology 49
  • Artificial Intelligence 1.2k
Replace Raymond Y. Huang with:
Raymond Y. Huang United States
Darren Treanor United Kingdom
Yukako Yagi United States
Gabriele Campanella United States
Yi Gao China
Alessandro Bevilacqua Italy
Håvard E. Danielsen Norway
Muhammad Khalid Khan Niazi United States
D.M. Jukic United States
António Polónia Portugal
Nicolas Coudray relative to Raymond Y. Huang United States Raymond Y. Huang's profile →
Citations per field
00.5×
Raymond Y. Huang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Nicolas Coudray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicolas Coudray Line = papers co-authored together Nicolas Coudray links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
Hit paper breakdown →
20181910
2 2020124
3 201393
4 201854
5 202054
6 202048
7 202046
8 202044
9 201037
10 200937
11 201635
12 201031
13 202030
14 202429
15 202129
16 202124
17 201922
18 202217
19 202316
20 201813

About Nicolas Coudray

Nicolas Coudray is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 55 papers that have together received 2.8k indexed citations. Recurring topics across this work include AI in cancer detection (12 papers), Bacterial Genetics and Biotechnology (10 papers), Radiomics and Machine Learning in Medical Imaging (9 papers), Advanced Electron Microscopy Techniques and Applications (6 papers), Cell Image Analysis Techniques (6 papers), RNA and protein synthesis mechanisms (6 papers), Drug Transport and Resistance Mechanisms (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Health Informatics (158 citations), Biophysics (262 citations), Radiology, Nuclear Medicine and Imaging (929 citations), Structural Biology (49 citations) and Artificial Intelligence (1.2k citations). Nicolas Coudray has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Aristotelis Tsirigos, André L. Moreira, Theodore Sakellaropoulos, Navneet Narula, Matija Snuderl, Narges Razavian, David Fenyö, Paolo Ocampo, Gira Bhabha and Damian C. Ekiert. Their work appears in journals such as Journal of Clinical Oncology, Journal of Structural Biology, eLife, Clinical Cancer Research and Proceedings of the National Academy of Sciences.

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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