Séverine Duvaud
Impact in
- Molecular Biology top 10%
- Plant Gene Expression Analysis
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Photosynthetic Processes and Mechanisms
- Protein Structure and Dynamics
- Plant Science top 10%
- Plant Molecular Biology Research
Papers in
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- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- Biomedical Text Mining and Ontologies 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- Scientific Computing and Data Management 2
- Co-authors
- Chiara Gabella (3 shared papers)Christine Durinx (2 shared papers)Heinz Stockinger (1 shared paper)Vassilios Ioannidis (1 shared paper)Frédérique Lisacek (1 shared paper)Elisabeth Gasteiger (4 shared papers)Amos Bairoch (4 shared papers)Anne‐Lise Veuthey (2 shared papers)
- Journals
- PROTEOMICS (2 papers)Briefings in Bioinformatics (1 paper)Nucleic Acids Research (1 paper)GigaScience (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Séverine Duvaud
8 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 951
- Plant Science 338
- Biotechnology 61
- Spectroscopy 97
- Microbiology 35
Countries citing papers authored by Séverine Duvaud
This map shows the geographic impact of Séverine Duvaud'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 Séverine Duvaud with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Séverine Duvaud more than expected).
Fields of papers citing papers by Séverine Duvaud
This network shows the impact of papers produced by Séverine Duvaud. 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 Séverine Duvaud. The network helps show where Séverine Duvaud may publish in the future.
Co-authors
The 25 scholars most cited alongside Séverine Duvaud, 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 | Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users Hit paper breakdown → | 2021 | 572 |
| 2 | 2009 | 383 | |
| 3 | 2004 | 171 | |
| 4 | In The Proteomics Protocols Handbook | 2005 | 138 |
| 5 | 2004 | 88 | |
| 6 | 2025 | 2 | |
| 7 | 2021 | 2 | |
| 8 | 2020 | 1 |
About Séverine Duvaud
Séverine Duvaud is a scholar working on Molecular Biology, Information Systems and Management, Spectroscopy, Materials Chemistry and Information Systems, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Enzyme Structure and Function (2 papers), Scientific Computing and Data Management (2 papers), Genomics and Phylogenetic Studies (2 papers), Biomedical Text Mining and Ontologies (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (951 citations), Plant Science (338 citations), Biotechnology (61 citations), Spectroscopy (97 citations) and Microbiology (35 citations). Séverine Duvaud has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Chiara Gabella, Christine Durinx, Heinz Stockinger, Vassilios Ioannidis, Frédérique Lisacek, Elisabeth Gasteiger, Amos Bairoch, Anne‐Lise Veuthey, María Martin and Isabelle Phan. Their work appears in journals such as PROTEOMICS, Briefings in Bioinformatics, Nucleic Acids Research, GigaScience and BMC Bioinformatics.
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.