Michaël Moret
Impact in
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- Computational Drug Discovery Methods
- Health Informatics top 5%
Papers in
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- Chemical Synthesis and Analysis 3
- Microbial Metabolic Engineering and Bioproduction 3
- Receptor Mechanisms and Signaling 2
- Gene Regulatory Network Analysis 2
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- Computational Drug Discovery Methods 7
- Co-authors
- Francesca Grisoni (7 shared papers)Gisbert Schneider (7 shared papers)Daniel Merk (4 shared papers)Lukas Friedrich (1 shared paper)Niels J. Rupp (2 shared papers)Norbert Wey (2 shared papers)Thomas Hermanns (2 shared papers)Manfred Claassen (2 shared papers)
- Journals
- Journal of Chemical Information and Modeling (2 papers)Nature Machine Intelligence (2 papers)Nature Communications (1 paper)Nature Catalysis (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- SwitzerlandNetherlandsGermany
In The Last Decade
Michaël Moret
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 434
- Health Informatics 34
- Artificial Intelligence 243
- Radiology, Nuclear Medicine and Imaging 145
- Biophysics 39
Countries citing papers authored by Michaël Moret
This map shows the geographic impact of Michaël Moret'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 Michaël Moret with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Moret more than expected).
Fields of papers citing papers by Michaël Moret
This network shows the impact of papers produced by Michaël Moret. 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 Michaël Moret. The network helps show where Michaël Moret may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Moret, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 283 | |
| 2 | 2020 | 158 | |
| 3 | 2020 | 150 | |
| 4 | 2021 | 113 | |
| 5 | 2023 | 102 | |
| 6 | 1990 | 79 | |
| 7 | 2021 | 60 | |
| 8 | A novel variant of the bcr-abl fusion product in Philadelphia chromosome-positive acute lymphoblastic leukemia. | 1990 | 45 |
| 9 | 2022 | 44 | |
| 10 | 2024 | 21 | |
| 11 | 2019 | 19 | |
| 12 | 2022 | 16 | |
| 13 | 2018 | 3 | |
| 14 | 2025 | 1 | |
| 15 | 2021 | 1 | |
| 16 | 1989 | 1 | |
| 17 | 2024 | 0 |
About Michaël Moret
Michaël Moret is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Organic Chemistry and Artificial Intelligence, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (4 papers), Chemical Synthesis and Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Receptor Mechanisms and Signaling (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Gene Regulatory Network Analysis (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Computational Theory and Mathematics (434 citations), Health Informatics (34 citations), Artificial Intelligence (243 citations), Radiology, Nuclear Medicine and Imaging (145 citations) and Biophysics (39 citations). Michaël Moret has collaborated with scholars based in Switzerland, Netherlands and Germany. Frequent co-authors include Francesca Grisoni, Gisbert Schneider, Daniel Merk, Lukas Friedrich, Niels J. Rupp, Norbert Wey, Thomas Hermanns, Manfred Claassen, Peter J. Wild and Christian D. Fankhauser. Their work appears in journals such as Journal of Chemical Information and Modeling, Nature Machine Intelligence, Nature Communications, Nature Catalysis and Angewandte Chemie International Edition.
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.