Séverine Duvaud

5.3k total citations · 1 hit paper
8 papers, 1.4k citations indexed

About

Séverine Duvaud is a scholar working on Molecular Biology, Information Systems and Management and Spectroscopy. According to data from OpenAlex, Séverine Duvaud has authored 8 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Information Systems and Management and 2 papers in Spectroscopy. Recurrent topics in Séverine Duvaud's work include Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Séverine Duvaud is often cited by papers focused on Advanced Proteomics Techniques and Applications (2 papers), Bioinformatics and Genomic Networks (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Séverine Duvaud collaborates with scholars based in Switzerland, United Kingdom and United States. Séverine Duvaud's co-authors include Chiara Gabella, Christine Durinx, Vassilios Ioannidis, Heinz Stockinger, Frédérique Lisacek, Amos Bairoch, Elisabeth Gasteiger, Anne‐Lise Veuthey, Nicole Redaschi and Isabelle Phan and has published in prestigious journals such as Nucleic Acids Research, BMC Bioinformatics and PROTEOMICS.

In The Last Decade

Séverine Duvaud

8 papers receiving 1.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users

2021 572 citations Séverine Duvaud, Chiara Gabella et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Séverine Duvaud Switzerland	5	951	338	97	89	89	8	1.4k
Beatrice Cuche Switzerland	2	844 0.9×	245 0.7×	43 0.4×	71 0.8×	121 1.4×	2	1.2k
Damien Lieberherr Switzerland	6	1.0k 1.1×	345 1.0×	72 0.7×	53 0.6×	141 1.6×	9	1.4k
Andrea Pierleoni Italy	13	977 1.0×	262 0.8×	41 0.4×	118 1.3×	100 1.1×	22	1.5k
Emmanuel Boutet Switzerland	8	1.1k 1.1×	527 1.6×	75 0.8×	79 0.9×	149 1.7×	11	1.7k
Dawei Lin United States	18	1.2k 1.3×	389 1.2×	82 0.8×	99 1.1×	150 1.7×	27	1.8k
Gustavo Parisi Argentina	24	1.4k 1.5×	415 1.2×	97 1.0×	75 0.8×	128 1.4×	79	1.9k
Bong-Hyun Kim United States	6	1.1k 1.2×	181 0.5×	41 0.4×	80 0.9×	147 1.7×	8	1.4k
Michael Tognolli Switzerland	8	1.3k 1.4×	657 1.9×	100 1.0×	61 0.7×	153 1.7×	11	1.9k
S. Réty France	25	1.8k 1.8×	315 0.9×	46 0.5×	143 1.6×	181 2.0×	59	2.2k
Emily Dimmer United Kingdom	14	1.4k 1.4×	163 0.5×	90 0.9×	55 0.6×	177 2.0×	19	1.7k

Countries citing papers authored by Séverine Duvaud

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Séverine Duvaud

This figure shows the co-authorship network connecting the top 25 collaborators of Séverine Duvaud. A scholar is included among the top collaborators of Séverine Duvaud based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Séverine Duvaud. Séverine Duvaud is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Bolleman, Jerven, Vincent Emonet, Adrian Altenhoff, et al.. (2025). A large collection of bioinformatics question–query pairs over federated knowledge graphs: methodology and applications. GigaScience. 14. 2 indexed citations

2.

Duvaud, Séverine, Chiara Gabella, Frédérique Lisacek, et al.. (2021). Expasy, the Swiss Bioinformatics Resource Portal, as designed by its users. Nucleic Acids Research. 49(W1). W216–W227. 572 indexed citations breakdown →

3.

Gabella, Chiara, Séverine Duvaud, & Christine Durinx. (2021). Managing the life cycle of a portfolio of open data resources at the SIB Swiss Institute of Bioinformatics. Briefings in Bioinformatics. 23(1). 2 indexed citations

4.

Gabella, Chiara & Séverine Duvaud. (2020). Applying User Experience (UX) methodologies to science: the example of the BioSODA user interface. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

5.

Jain, Eric, Amos Bairoch, Séverine Duvaud, et al.. (2009). Infrastructure for the life sciences: design and implementation of the UniProt website. BMC Bioinformatics. 10(1). 136–136. 383 indexed citations

6.

Gasteiger, Elisabeth, Christine Hoogland, Alexandre Gattiker, et al.. (2005). In The Proteomics Protocols Handbook. 138 indexed citations

7.

Garavelli, John S., Brigitte Boeckmann, Séverine Duvaud, et al.. (2004). Annotation of post‐translational modifications in the Swiss‐Prot knowledge base. PROTEOMICS. 4(6). 1537–1550. 88 indexed citations

8.

Bologna, Guido, Cédric Yvon, Séverine Duvaud, & Anne‐Lise Veuthey. (2004). N ‐Terminal myristoylation predictions by ensembles of neural networks. PROTEOMICS. 4(6). 1626–1632. 171 indexed citations

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.

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