Michaël Vacher
Impact in
- Molecular Biology top 10%
- Photosynthetic Processes and Mechanisms
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
- Gene expression and cancer classification
- Gut microbiota and health
- Mitochondrial Function and Pathology
Papers in
-
- Genomics and Phylogenetic Studies 3
- Bioinformatics and Genomic Networks 3
- Machine Learning in Bioinformatics 2
- Genetics 5
- Genetic Associations and Epidemiology 4
- Co-authors
- Amrit Singh (1 shared paper)Casey P. Shannon (1 shared paper)Scott J. Tebbutt (1 shared paper)Benoît Gautier (1 shared paper)Kim‐Anh Lê Cao (1 shared paper)Florian Rohart (1 shared paper)Ian Small (4 shared papers)Ian Castleden (3 shared papers)
- Journals
- Oral Oncology (2 papers)Bioinformatics (2 papers)Alzheimer s & Dementia (1 paper)Scientific Reports (1 paper)Molecular Plant (1 paper)
- Partner nations
- AustraliaUnited StatesCanada
In The Last Decade
Michaël Vacher
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 788
- Biological Psychiatry 19
- Plant Science 245
- 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 | 557 |
| 2 | 2012 | 236 | |
| 3 | 2014 | 137 | |
| 4 | 2019 | 84 | |
| 5 | 2014 | 52 | |
| 6 | 2019 | 26 | |
| 7 | 2014 | 22 | |
| 8 | 2021 | 18 | |
| 9 | 2023 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 9 | |
| 13 | 2024 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2021 | 0 |
About Michaël Vacher
Michaël Vacher is a scholar working on Molecular Biology, Genetics, Physiology, Otorhinolaryngology and Paleontology, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Genetic Associations and Epidemiology (4 papers), Genomics and Phylogenetic Studies (3 papers), Head and Neck Cancer Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (2 papers), Dementia and Cognitive Impairment Research (2 papers) and Oral and Maxillofacial Pathology (2 papers). The work is most often cited by research in Molecular Biology (788 citations), Biological Psychiatry (19 citations), Plant Science (245 citations), Periodontics (26 citations) and Computational Mathematics (3 citations). Michaël Vacher has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Amrit Singh, Casey P. Shannon, Scott J. Tebbutt, Benoît Gautier, Kim‐Anh Lê Cao, Florian Rohart, Ian Small, Ian Castleden, Cornelia M. Hooper and A. Harvey Millar. Their work appears in journals such as Oral Oncology, Bioinformatics, Alzheimer s & Dementia, Scientific Reports and Molecular Plant.
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.