Michaël Vacher
Impact in
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Gut microbiota and health
- Gene expression and cancer classification
- Mitochondrial Function and Pathology
Papers in
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- Machine Learning in Bioinformatics 2
- Genomics and Phylogenetic Studies 2
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- Alzheimer's disease research and treatments 2
- Co-authors
- Florian Rohart (1 shared paper)Amrit Singh (1 shared paper)Casey P. Shannon (1 shared paper)Kim‐Anh Lê Cao (1 shared paper)Scott J. Tebbutt (1 shared paper)Benoît Gautier (1 shared paper)Ian Small (4 shared papers)Ian Castleden (3 shared papers)
- Journals
- Oral Oncology (2 papers)Bioinformatics (2 papers)Molecular Plant (1 paper)Journal of Alzheimer s Disease (1 paper)Journal of Environmental Management (1 paper)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Michaël Vacher
17 papers receiving 1.3k citations
Michaël Vacher's Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 749
- Biological Psychiatry 19
- Plant Science 234
- Periodontics 26
- Computational Mathematics 3
Countries citing papers authored by Michaël Vacher
This map shows the geographic impact of Michaël Vacher'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 Vacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michaël Vacher more than expected).
Fields of papers citing papers by Michaël Vacher
This network shows the impact of papers produced by Michaël Vacher. 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 Vacher. The network helps show where Michaël Vacher may publish in the future.
Co-authors
The 25 scholars most cited alongside Michaël Vacher, 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 | DIABLO: an integrative approach for identifying key molecular drivers from multi-omics assays Hit paper breakdown → | 2019 | 606 |
| 2 | 2012 | 237 | |
| 3 | 2014 | 138 | |
| 4 | 2019 | 88 | |
| 5 | 2014 | 52 | |
| 6 | 2019 | 26 | |
| 7 | 2014 | 22 | |
| 8 | 2021 | 19 | |
| 9 | 2023 | 15 | |
| 10 | 2019 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 9 | |
| 14 | 2019 | 9 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 | |
| 20 | 2021 | 0 |
About Michaël Vacher
Michaël Vacher is a scholar working on Molecular Biology, Physiology, Genetics, Paleontology and Ecology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Paleontology and Stratigraphy of Fossils (2 papers), Dementia and Cognitive Impairment Research (2 papers), Machine Learning in Bioinformatics (2 papers), Genomics and Phylogenetic Studies (2 papers), Oral Health Pathology and Treatment (2 papers), Genetic Associations and Epidemiology (2 papers) and Obesity, Physical Activity, Diet (1 paper). The work is most often cited by research in Molecular Biology (749 citations), Biological Psychiatry (19 citations), Plant Science (234 citations), Periodontics (26 citations) and Computational Mathematics (3 citations). Michaël Vacher has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Florian Rohart, Amrit Singh, Casey P. Shannon, Kim‐Anh Lê Cao, Scott J. Tebbutt, Benoît Gautier, Ian Small, Ian Castleden, Sandra K. Tanz and Cornelia M. Hooper. Their work appears in journals such as Oral Oncology, Bioinformatics, Molecular Plant, Journal of Alzheimer s Disease and Journal of Environmental Management.
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.