Pascale Gaudet
- Molecular Biology top 5%
- Bioinformatics and Genomic Networks 31
- Biomedical Text Mining and Ontologies 30
- Genomics and Phylogenetic Studies 14
- Aging top 5%
- Cell Biology top 5%
- Cellular Mechanics and Interactions 11
- Microtubule and mitosis dynamics 6
- Spectroscopy top 2%
- Advanced Proteomics Techniques and Applications 6
- Endocrinology top 5%
- Vibrio bacteria research studies 6
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- Cell Image Analysis Techniques 6
- Co-authors
- Suzanna LewisPaul D. ThomasMichael LivstonePetra FeyRex L. ChisholmHuaiyu MiAnushya MuruganujanQing Dong
- Cited by
- Molecular BiologyAgingCell Biology
- Journals
- Nucleic Acids Research (10 papers)Journal of Biological Chemistry (1 paper)Nature Genetics (1 paper)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Pascale Gaudet
67 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 2.2k
- Aging 55
- Cell Biology 362
- Spectroscopy 364
- Endocrinology 83
Countries citing papers authored by Pascale Gaudet
This map shows the geographic impact of Pascale Gaudet'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 Pascale Gaudet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Gaudet more than expected).
Fields of papers citing papers by Pascale Gaudet
This network shows the impact of papers produced by Pascale Gaudet. 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 Pascale Gaudet. The network helps show where Pascale Gaudet may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pascale Gaudet, 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 | 2025 | 1 | |
| 2 | 2020 | 6 | |
| 3 | An Example of Multimodal Biological Knowledge Representation. | 2019 | 1 |
| 4 | 2019 | 67 | |
| 5 | 2019 | 20 | |
| 6 | 2018 | 23 | |
| 7 | 2018 | 8 | |
| 8 | 2016 | 107 | |
| 9 | 2016 | 12 | |
| 10 | 2015 | 35 | |
| 11 | 2012 | 49 | |
| 12 | 2011 | 134 | |
| 13 | 2010 | 33 | |
| 14 | 2009 | 126 | |
| 15 | 2009 | 461 | |
| 16 | 2007 | 94 | |
| 17 | 2007 | 27 | |
| 18 | 2006 | 33 | |
| 19 | 2006 | 17 | |
| 20 | 1999 | 8 |
About Pascale Gaudet
Pascale Gaudet is a scholar working on Biophysics, Endocrinology and Molecular Biology, having authored 69 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (31 papers), Biomedical Text Mining and Ontologies (30 papers), Genomics and Phylogenetic Studies (14 papers), Cellular Mechanics and Interactions (11 papers), Vibrio bacteria research studies (6 papers), Microtubule and mitosis dynamics (6 papers), Cell Image Analysis Techniques (6 papers) and Advanced Proteomics Techniques and Applications (6 papers). The work is most often cited by research in Molecular Biology (2.2k citations), Aging (55 citations) and Cell Biology (362 citations). Pascale Gaudet has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Suzanna Lewis, Paul D. Thomas, Michael Livstone, Petra Fey, Rex L. Chisholm, Huaiyu Mi, Anushya Muruganujan, Qing Dong, Karen E Pilcher and Amos Bairoch. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Genetics.
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.