Amos Bairoch
Impact in
- Molecular Biology top 0.02%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Biotechnology top 0.02%
- Enzyme Production and Characterization
Papers in
-
- Genomics and Phylogenetic Studies 50
- RNA and protein synthesis mechanisms 46
- Machine Learning in Bioinformatics 31
- Bioinformatics and Genomic Networks 26
- Biomedical Text Mining and Ontologies 21
- Spectroscopy 52
- Advanced Proteomics Techniques and Applications 51
- Mass Spectrometry Techniques and Applications 15
- Co-authors
- Elisabeth Gasteiger (24 shared papers)Marc Ronald Wilkins (10 shared papers)Rolf Apweiler (10 shared papers)Bernard Henrissat (3 shared papers)Alexandre Gattiker (7 shared papers)Ron D. Appel (18 shared papers)Denis F. Hochstrasser (19 shared papers)Séverine Duvaud (5 shared papers)
- Journals
- Nucleic Acids Research (40 papers)Electrophoresis (14 papers)Database (8 papers)Journal of Proteome Research (7 papers)PROTEOMICS (7 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Amos Bairoch
193 papers receiving 53.0k citations
Amos Bairoch's Hit Papers
Peers
Comparison fields: 5 of 204
- Molecular Biology 36.5k
- Biotechnology 4.0k
- Spectroscopy 4.1k
- Microbiology 1.3k
- Plant Science 7.6k
Countries citing papers authored by Amos Bairoch
This map shows the geographic impact of Amos Bairoch'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 Amos Bairoch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amos Bairoch more than expected).
Fields of papers citing papers by Amos Bairoch
This network shows the impact of papers produced by Amos Bairoch. 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 Amos Bairoch. The network helps show where Amos Bairoch may publish in the future.
Co-authors
The 25 scholars most cited alongside Amos Bairoch, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein Identification and Analysis Tools on the ExPASy Server Hit paper breakdown → | 2005 | 6751 |
| 2 | Protein Identification and Analysis Tools in the ExPASy Server Hit paper breakdown → | 2003 | 5424 |
| 3 | The Universal Protein Resource (UniProt) Hit paper breakdown → | 2004 | 3202 |
| 4 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999 Hit paper breakdown → | 1999 | 2669 |
| 5 | The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000 Hit paper breakdown → | 2000 | 2381 |
| 6 | New families in the classification of glycosyl hydrolases based on amino acid sequence similarities Hit paper breakdown → | 1993 | 1793 |
| 7 | InterPro: the integrative protein signature database Hit paper breakdown → | 2008 | 1664 |
| 8 | The PROSITE database, its status in 1997 Hit paper breakdown → | 1997 | 1593 |
| 9 | ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins Hit paper breakdown → | 2006 | 1335 |
| 10 | Updating the sequence-based classification of glycosyl hydrolases Hit paper breakdown → | 1996 | 1201 |
| 11 | The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence Hit paper breakdown → | 1997 | 1037 |
| 12 | The PROSITE database, its status in 1999 Hit paper breakdown → | 1999 | 957 |
| 13 | The ENZYME database in 2000 Hit paper breakdown → | 2000 | 893 |
| 14 | The Universal Protein Resource (UniProt) in 2010 Hit paper breakdown → | 2010 | 834 |
| 15 | Prosite: a dictionary of sites and patterns in proteins Hit paper breakdown → | 1992 | 826 |
| 16 | A large-scale evaluation of computational protein function prediction Hit paper breakdown → | 2013 | 741 |
| 17 | PROSITE, a protein domain database for functional characterization and annotation Hit paper breakdown → | 2009 | 694 |
| 18 | Arac/XylS family of transcriptional regulators Hit paper breakdown → | 1997 | 691 |
| 19 | Molecular basis of symbiosis between Rhizobium and legumes Hit paper breakdown → | 1997 | 652 |
| 20 | 2007 | 599 |
About Amos Bairoch
Amos Bairoch is a scholar working on Molecular Biology, Spectroscopy, Genetics, Ecology and Clinical Biochemistry, having authored 193 papers that have together received 54.6k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (51 papers), Genomics and Phylogenetic Studies (50 papers), RNA and protein synthesis mechanisms (46 papers), Machine Learning in Bioinformatics (31 papers), Bioinformatics and Genomic Networks (26 papers), Biomedical Text Mining and Ontologies (21 papers), Enzyme Structure and Function (16 papers) and Mass Spectrometry Techniques and Applications (15 papers). The work is most often cited by research in Molecular Biology (36.5k citations), Biotechnology (4.0k citations), Spectroscopy (4.1k citations), Microbiology (1.3k citations) and Plant Science (7.6k citations). Amos Bairoch has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Elisabeth Gasteiger, Marc Ronald Wilkins, Rolf Apweiler, Bernard Henrissat, Alexandre Gattiker, Ron D. Appel, Denis F. Hochstrasser, Séverine Duvaud, Christine Hoogland and Kay Hofmann. Their work appears in journals such as Nucleic Acids Research, Electrophoresis, Database, Journal of Proteome Research and PROTEOMICS.
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.