Anne‐Lise Veuthey

1.1k total citations
24 papers, 871 citations indexed

About

Anne‐Lise Veuthey is a scholar working on Molecular Biology, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Anne‐Lise Veuthey has authored 24 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Artificial Intelligence and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Anne‐Lise Veuthey's work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (6 papers) and Machine Learning in Bioinformatics (4 papers). Anne‐Lise Veuthey is often cited by papers focused on Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (6 papers) and Machine Learning in Bioinformatics (4 papers). Anne‐Lise Veuthey collaborates with scholars based in Switzerland, United Kingdom and United States. Anne‐Lise Veuthey's co-authors include Séverine Duvaud, Yum L. Yip, Anaïs Mottaz, Guido Bologna, Cédric Yvon, Elisabeth Gasteiger, Amos Bairoch, Patrick Ruch, Philippe Perrottet and Julien Gobeill and has published in prestigious journals such as Bioinformatics, Journal of Neurochemistry and BMC Bioinformatics.

In The Last Decade

Anne‐Lise Veuthey

24 papers receiving 840 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne‐Lise Veuthey Switzerland 14 665 127 120 73 64 24 871
Raymond Ripp France 17 1.1k 1.6× 175 1.4× 92 0.8× 47 0.6× 58 0.9× 29 1.2k
Gabriele Ausiello Italy 18 1.5k 2.3× 105 0.8× 59 0.5× 122 1.7× 76 1.2× 45 1.7k
Andrew Winter United Kingdom 11 1.7k 2.6× 179 1.4× 102 0.8× 68 0.9× 78 1.2× 17 2.0k
Leonardo Briganti Italy 5 1.3k 1.9× 91 0.7× 40 0.3× 104 1.4× 78 1.2× 6 1.4k
Marc Gillespie United States 13 1.3k 2.0× 167 1.3× 42 0.3× 77 1.1× 71 1.1× 25 1.6k
Recep Çolak Canada 11 1.2k 1.9× 139 1.1× 56 0.5× 24 0.3× 50 0.8× 22 1.4k
N. N. Kolesnikov Russia 13 1.1k 1.7× 253 2.0× 98 0.8× 22 0.3× 26 0.4× 26 1.4k
Les Grivell Netherlands 17 1.5k 2.2× 89 0.7× 39 0.3× 88 1.2× 153 2.4× 28 1.7k
Andreas Zanzoni France 19 1.4k 2.1× 96 0.8× 34 0.3× 96 1.3× 73 1.1× 33 1.6k
Daniele Peluso Italy 13 1.6k 2.3× 117 0.9× 40 0.3× 116 1.6× 103 1.6× 21 1.8k

Countries citing papers authored by Anne‐Lise Veuthey

Since Specialization
Citations

This map shows the geographic impact of Anne‐Lise Veuthey'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 Anne‐Lise Veuthey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anne‐Lise Veuthey more than expected).

Fields of papers citing papers by Anne‐Lise Veuthey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne‐Lise Veuthey. 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 Anne‐Lise Veuthey. The network helps show where Anne‐Lise Veuthey may publish in the future.

Co-authorship network of co-authors of Anne‐Lise Veuthey

This figure shows the co-authorship network connecting the top 25 collaborators of Anne‐Lise Veuthey. A scholar is included among the top collaborators of Anne‐Lise Veuthey 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 Anne‐Lise Veuthey. Anne‐Lise Veuthey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Veuthey, Anne‐Lise, Alan Bridge, Julien Gobeill, et al.. (2013). Application of text-mining for updating protein post-translational modification annotation in UniProtKB. BMC Bioinformatics. 14(1). 104–104. 16 indexed citations
2.
Gobeill, Julien, Emilie Pasche, Douglas Teodoro, Anne‐Lise Veuthey, & Patrick Ruch. (2012). Answering Gene Ontology terms to proteomics questions by supervised macro reading in Medline. EMBnet journal. 18(B). 29–29. 5 indexed citations
3.
Mottaz, Anaïs, Yum L. Yip, Patrick Ruch, & Anne‐Lise Veuthey. (2008). Mapping proteins to disease terminologies: from UniProt to MeSH. BMC Bioinformatics. 9(S5). S3–S3. 55 indexed citations
4.
Gobeill, Julien, et al.. (2008). Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction. BMC Bioinformatics. 9(S3). S9–S9. 12 indexed citations
5.
Ruch, Patrick, Antoine Geissbühler, Julien Gobeill, et al.. (2007). Using discourse analysis to improve text categorization in MEDLINE.. PubMed. 129(Pt 1). 710–5. 7 indexed citations
6.
Yip, Yum L., et al.. (2007). RETRIEVING MUTATION-SPECIFIC INFORMATION FOR HUMAN PROTEINS IN UNIPROT/SWISS-PROT KNOWLEDGEBASE. Journal of Bioinformatics and Computational Biology. 5(6). 1215–1231. 26 indexed citations
7.
Mottaz, Anaïs, Yum L. Yip, Patrick Ruch, & Anne‐Lise Veuthey. (2007). Mapping protein information to disease terminologies. Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics. 4(3). 243–251. 3 indexed citations
8.
Ruch, Patrick, Célia Boyer, Christine Chichester, et al.. (2006). Using argumentation to extract key sentences from biomedical abstracts. International Journal of Medical Informatics. 76(2-3). 195–200. 59 indexed citations
9.
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
10.
Goutte, Cyril, et al.. (2004). Assisting medical annotation in Swiss-Prot using statistical classifiers. International Journal of Medical Informatics. 74(2-4). 317–324. 6 indexed citations
11.
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
12.
Goutte, Cyril, et al.. (2003). Combining NLP and probabilistic categorisation fordocument and term selection for Swiss-Prot medical annotation. Bioinformatics. 19(suppl_1). i91–i94. 25 indexed citations
13.
Gattiker, Alexandre, Catherine Rivoire, Andrea H Auchincloss, et al.. (2003). Automated annotation of microbial proteomes in SWISS-PROT. Computational Biology and Chemistry. 27(1). 49–58. 98 indexed citations
14.
Goutte, Cyril, et al.. (2003). A Probabilistic Information Retrieval Approach to Medical Annotation in SWISS-PROT. Studies in health technology and informatics. 95. 421–6. 6 indexed citations
15.
Jung, E., Anne‐Lise Veuthey, Elisabeth Gasteiger, & Amos Bairoch. (2001). Annotation of glycoproteins in the SWISS‐PROT database. PROTEOMICS. 1(2). 262–268. 37 indexed citations
16.
Abid, Karim, et al.. (2000). A novel hepatitis C virus (HCV) subtype from Somalia and its classification into HCV clade 3. Journal of General Virology. 81(6). 1485–1493. 21 indexed citations
17.
Veuthey, Anne‐Lise, et al.. (1998). Phylogenetic Relationships of Fungi, Plantae, and Animalia Inferred from Homologous Comparison of Ribosomal Proteins. Journal of Molecular Evolution. 47(1). 81–92. 28 indexed citations
18.
Poitry‐Yamate, Carol L., et al.. (1997). The nutritive function of glia is regulated by signals released by neurons. Glia. 21(1). 84–91. 5 indexed citations
19.
Veuthey, Anne‐Lise, et al.. (1994). Cellular and Subcellular Localization of Hexokinase, Glutamate Dehydrogenase, and Alanine Aminotransferase in the Honeybee Drone Retina. Journal of Neurochemistry. 62(5). 1939–1946. 9 indexed citations
20.
Veuthey, Anne‐Lise & Jörg W. Stucki. (1987). The adenylate kinase reaction acts as a frequency filter towards fluctuations of ATP utilization in the cell. Biophysical Chemistry. 26(1). 19–28. 15 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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