Chloé‐Agathe Azencott
- Molecular Biology
- Genetics top 10%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Artificial Intelligence
- Co-authors
- Pierre BaldiJonathan H. ChenS. Joshua SwamidassMatthew A. KayalaKarsten BorgwardtDominik G. GrimmKenneth DailyFabian Aicheler
- Topics
- Computational Drug Discovery Methods (7 papers)Gene expression and cancer classification (7 papers)Genetic Associations and Epidemiology (6 papers)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
Chloé‐Agathe Azencott
23 papers receiving 769 citations
Peers
Comparison fields: 5 of 125
- Molecular Biology 440
- Genetics 242
- Computational Theory and Mathematics 220
- Materials Chemistry 144
- Artificial Intelligence 70
Countries citing papers authored by Chloé‐Agathe Azencott
This map shows the geographic impact of Chloé‐Agathe Azencott'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 Chloé‐Agathe Azencott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chloé‐Agathe Azencott more than expected).
Fields of papers citing papers by Chloé‐Agathe Azencott
This network shows the impact of papers produced by Chloé‐Agathe Azencott. 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 Chloé‐Agathe Azencott. The network helps show where Chloé‐Agathe Azencott may publish in the future.
Co-authorship network of co-authors of Chloé‐Agathe Azencott
This figure shows the co-authorship network connecting the top 25 collaborators of Chloé‐Agathe Azencott. A scholar is included among the top collaborators of Chloé‐Agathe Azencott 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 Chloé‐Agathe Azencott. Chloé‐Agathe Azencott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 49 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 5 | |
| 7 | Multitask group Lasso for Genome Wide association Studies in diverse populations. | 0 |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 50 | |
| 14 | 8 | |
| 15 | 242 | |
| 16 | 35 | |
| 17 | 23 | |
| 18 | 136 | |
| 19 | 44 | |
| 20 | 42 |
About Chloé‐Agathe Azencott
Chloé‐Agathe Azencott is a scholar working on Computational Theory and Mathematics, Genetics and Molecular Biology, having authored 24 papers that have together received 785 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Gene expression and cancer classification (7 papers) and Genetic Associations and Epidemiology (6 papers). The work is most often cited by research in Computational Theory and Mathematics (220 citations), Genetics (242 citations) and Molecular Biology (440 citations). Chloé‐Agathe Azencott has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Pierre Baldi, Jonathan H. Chen, S. Joshua Swamidass, Matthew A. Kayala, Karsten Borgwardt, Dominik G. Grimm, Kenneth Daily, Fabian Aicheler, Laramie E. Duncan and Daniel G. MacArthur. Their work appears in journals such as Bioinformatics, PLoS ONE and International Journal of Molecular 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.