Anne‐Lise Veuthey
- Molecular Biology
- Genetics
- Artificial Intelligence top 10%
- Spectroscopy top 10%
- Cell Biology
- Co-authors
- Séverine DuvaudYum L. YipAnaïs MottazCédric YvonGuido BolognaAmos BairochElisabeth GasteigerPatrick Ruch
- Topics
- Biomedical Text Mining and Ontologies (12 papers)Topic Modeling (6 papers)Machine Learning in Bioinformatics (4 papers)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Anne‐Lise Veuthey
24 papers receiving 840 citations
Peers
Comparison fields: 5 of 103
- Molecular Biology 665
- Genetics 127
- Artificial Intelligence 120
- Spectroscopy 73
- Cell Biology 64
Countries citing papers authored by Anne‐Lise Veuthey
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 55 | |
| 4 | 12 | |
| 5 | 3 | |
| 6 | 26 | |
| 7 | Using discourse analysis to improve text categorization in MEDLINE. | 7 |
| 8 | 59 | |
| 9 | 88 | |
| 10 | 6 | |
| 11 | 171 | |
| 12 | 98 | |
| 13 | 25 | |
| 14 | 6 | |
| 15 | 37 | |
| 16 | 21 | |
| 17 | 28 | |
| 18 | 5 | |
| 19 | 9 | |
| 20 | 15 |
About Anne‐Lise Veuthey
Anne‐Lise Veuthey is a scholar working on Molecular Biology, Artificial Intelligence and Hepatology, having authored 24 papers that have together received 871 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (12 papers), Topic Modeling (6 papers) and Machine Learning in Bioinformatics (4 papers). The work is most often cited by research in Molecular Biology (665 citations), Genetics (127 citations) and Spectroscopy (73 citations). Anne‐Lise Veuthey has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Séverine Duvaud, Yum L. Yip, Anaïs Mottaz, Cédric Yvon, Guido Bologna, Amos Bairoch, Elisabeth Gasteiger, Patrick Ruch, Philippe Perrottet and Julien Gobeill. Their work appears in journals such as Bioinformatics, Journal of Neurochemistry 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.