Alexandre Gattiker
- Molecular Biology top 5%
- Plant Science top 5%
- Genetics top 5%
- Cell Biology top 10%
- Immunology
- Co-authors
- Amos BairochElisabeth GasteigerChristian J A SigristPetra Langendijk-GenevauxEdouard de CastroMichael PrimigFrédéric ChalmelPhilippe Demougin
- Topics
- Genomics and Phylogenetic Studies (6 papers)RNA and protein synthesis mechanisms (3 papers)Machine Learning in Bioinformatics (2 papers)
- Partner nations
- SwitzerlandFranceUnited States
In The Last Decade
Alexandre Gattiker
14 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 1.7k
- Plant Science 463
- Genetics 379
- Cell Biology 178
- Immunology 173
Countries citing papers authored by Alexandre Gattiker
This map shows the geographic impact of Alexandre Gattiker'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 Alexandre Gattiker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre Gattiker more than expected).
Fields of papers citing papers by Alexandre Gattiker
This network shows the impact of papers produced by Alexandre Gattiker. 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 Alexandre Gattiker. The network helps show where Alexandre Gattiker may publish in the future.
Co-authorship network of co-authors of Alexandre Gattiker
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Gattiker. A scholar is included among the top collaborators of Alexandre Gattiker 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 Alexandre Gattiker. Alexandre Gattiker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 38 | |
| 3 | 40 | |
| 4 | 4 | |
| 5 | 14 | |
| 6 | 50 | |
| 7 | 216 | |
| 8 | 18 | |
| 9 | ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteinsbreakdown → | 1270 |
| 10 | In The Proteomics Protocols Handbook | 138 |
| 11 | 106 | |
| 12 | 98 | |
| 13 | 88 | |
| 14 | ScanProsite: a reference implementation of a PROSITE scanning tool. | 366 |
About Alexandre Gattiker
Alexandre Gattiker is a scholar working on Reproductive Medicine, Molecular Biology and Genetics, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (6 papers), RNA and protein synthesis mechanisms (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Reproductive Medicine (160 citations) and Aging (24 citations). Alexandre Gattiker has collaborated with scholars based in Switzerland, France and United States. Frequent co-authors include Amos Bairoch, Elisabeth Gasteiger, Christian J A Sigrist, Petra Langendijk-Genevaux, Edouard de Castro, Michael Primig, Frédéric Chalmel, Philippe Demougin, Bernard Jégou and Christa Niederhauser-Wiederkehr. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Human Reproduction.
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.