Fabien Dachet
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA Research and Splicing 5
- Machine Learning in Bioinformatics 2
- RNA regulation and disease 2
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Jeffrey A. Loeb (8 shared papers)Shruti Bagla (5 shared papers)Karina Balan (3 shared papers)Leonard Lipovich (4 shared papers)Hui Jia (3 shared papers)Juan Cai (2 shared papers)Edward A. Dratz (2 shared papers)Tibor Vályi-Nagy (2 shared papers)
- Journals
- Scientific Reports (2 papers)Neurobiology of Disease (2 papers)Dairy Science and Technology (2 papers)Journal of Neurochemistry (1 paper)Epilepsia (1 paper)
- Partner nations
- United StatesCanadaUnited Arab Emirates
In The Last Decade
Fabien Dachet
15 papers receiving 427 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 155
- Neurology 44
- Cellular and Molecular Neuroscience 81
- Psychiatry and Mental health 55
- Developmental Neuroscience 15
Countries citing papers authored by Fabien Dachet
This map shows the geographic impact of Fabien Dachet'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 Fabien Dachet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabien Dachet more than expected).
Fields of papers citing papers by Fabien Dachet
This network shows the impact of papers produced by Fabien Dachet. 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 Fabien Dachet. The network helps show where Fabien Dachet may publish in the future.
Co-authors
The 25 scholars most cited alongside Fabien Dachet, 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 | 2012 | 165 | |
| 2 | 2014 | 53 | |
| 3 | 2021 | 46 | |
| 4 | 2015 | 38 | |
| 5 | 2017 | 29 | |
| 6 | 2018 | 24 | |
| 7 | 2019 | 15 | |
| 8 | 2020 | 12 | |
| 9 | 2013 | 11 | |
| 10 | 2016 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2010 | 3 | |
| 15 | 2011 | 1 |
About Fabien Dachet
Fabien Dachet is a scholar working on Molecular Biology, Cancer Research, Neurology, Cellular and Molecular Neuroscience and Physiology, having authored 15 papers that have together received 428 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Alzheimer's disease research and treatments (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Machine Learning in Bioinformatics (2 papers), Probiotics and Fermented Foods (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cancer Research (155 citations), Neurology (44 citations), Cellular and Molecular Neuroscience (81 citations), Psychiatry and Mental health (55 citations) and Developmental Neuroscience (15 citations). Fabien Dachet has collaborated with scholars based in United States, Canada and United Arab Emirates. Frequent co-authors include Jeffrey A. Loeb, Shruti Bagla, Karina Balan, Leonard Lipovich, Hui Jia, Juan Cai, Edward A. Dratz, Tibor Vályi-Nagy, Fei Song and Gayatry Mohapatra. Their work appears in journals such as Scientific Reports, Neurobiology of Disease, Dairy Science and Technology, Journal of Neurochemistry and Epilepsia.
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.