Marie‐Laure Baudet
- Developmental Neuroscience top 5%
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- Growth Hormone and Insulin-like Growth Factors 16
- Thyroid Disorders and Treatments 4
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- Axon Guidance and Neuronal Signaling 11
- Cancer Research top 10%
- MicroRNA in disease regulation 6
- Endocrine and Autonomic Systems top 10%
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- Retinoids in leukemia and cellular processes 7
- Circular RNAs in diseases 4
- RNA Interference and Gene Delivery 3
- Retinal Development and Disorders 3
- Co-authors
- S. HarveyEsmond J. SandersChristine E. HoltAnaïs BellonCei Abreu‐GoodgerEric A. MiskaPaolo MacchiJacopo Zasso
- Cited by
- Developmental NeuroscienceEndocrinology, Diabetes and MetabolismCellular and Molecular Neuroscience
- Journals
- Nucleic Acids Research (1 paper)Journal of Neuroscience (1 paper)The EMBO Journal (1 paper)
- Partner nations
- CanadaItalyUnited Kingdom
In The Last Decade
Marie‐Laure Baudet
32 papers receiving 993 citations
Peers
Comparison fields: 5 of 83
- Developmental Neuroscience 119
- Endocrinology, Diabetes and Metabolism 306
- Cellular and Molecular Neuroscience 234
- Cancer Research 179
- Endocrine and Autonomic Systems 79
Countries citing papers authored by Marie‐Laure Baudet
This map shows the geographic impact of Marie‐Laure Baudet'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 Marie‐Laure Baudet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie‐Laure Baudet more than expected).
Fields of papers citing papers by Marie‐Laure Baudet
This network shows the impact of papers produced by Marie‐Laure Baudet. 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 Marie‐Laure Baudet. The network helps show where Marie‐Laure Baudet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marie‐Laure Baudet, 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 | 2024 | 4 | |
| 2 | 2021 | 3 | |
| 3 | 2020 | 62 | |
| 4 | 2020 | 105 | |
| 5 | 2017 | 74 | |
| 6 | 2016 | 2 | |
| 7 | 2014 | 20 | |
| 8 | 2013 | 55 | |
| 9 | 2012 | 33 | |
| 10 | 2012 | 21 | |
| 11 | 2011 | 96 | |
| 12 | 2009 | 24 | |
| 13 | 2009 | 22 | |
| 14 | 2008 | 30 | |
| 15 | 2007 | 9 | |
| 16 | 2007 | 24 | |
| 17 | 2006 | 23 | |
| 18 | 2006 | 26 | |
| 19 | 2003 | 60 | |
| 20 | 2003 | 51 |
About Marie‐Laure Baudet
Marie‐Laure Baudet is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Aging, having authored 32 papers that have together received 1.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (16 papers), Axon Guidance and Neuronal Signaling (11 papers), Retinoids in leukemia and cellular processes (7 papers), MicroRNA in disease regulation (6 papers), Circular RNAs in diseases (4 papers), Thyroid Disorders and Treatments (4 papers), RNA Interference and Gene Delivery (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (119 citations), Endocrinology, Diabetes and Metabolism (306 citations) and Cellular and Molecular Neuroscience (234 citations). Marie‐Laure Baudet has collaborated with scholars based in Canada, Italy and United Kingdom. Frequent co-authors include S. Harvey, Esmond J. Sanders, Christine E. Holt, Anaïs Bellon, Cei Abreu‐Goodger, Eric A. Miska, Paolo Macchi, Jacopo Zasso, Ö. Duhan Toparlak and William A. Harris. Their work appears in journals such as Nucleic Acids Research, Journal of Neuroscience and The EMBO Journal.
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.