Amos Bairoch
Impact in
- Molecular Biology top 0.05%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Biotechnology top 0.05%
- Enzyme Production and Characterization
Papers in
-
- Genomics and Phylogenetic Studies 41
- RNA and protein synthesis mechanisms 38
- Machine Learning in Bioinformatics 24
- Bioinformatics and Genomic Networks 16
- Biomedical Text Mining and Ontologies 14
- Glycosylation and Glycoproteins Research 13
- Spectroscopy 39
- Advanced Proteomics Techniques and Applications 38
- Co-authors
- Rolf Apweiler (9 shared papers)Elisabeth Gasteiger (23 shared papers)Denis F. Hochstrasser (19 shared papers)Marc R. Wilkins (9 shared papers)Kay Hofmann (3 shared papers)Bernard Henrissat (1 shared paper)Philip Bucher (3 shared papers)Ron D. Appel (5 shared papers)
- Journals
- Nucleic Acids Research (35 papers)Electrophoresis (14 papers)Bioinformatics (5 papers)Database (5 papers)PROTEOMICS (5 papers)
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Amos Bairoch
155 papers receiving 37.9k citations
Amos Bairoch's Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 26.2k
- Biotechnology 2.4k
- Spectroscopy 2.9k
- Endocrinology 755
- Genetics 3.8k
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 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Protein Identification and Analysis Tools in the ExPASy Server Hit paper breakdown → | 2003 | 5344 |
| 2 | The Universal Protein Resource (UniProt) Hit paper breakdown → | 2004 | 3011 |
| 3 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999 Hit paper breakdown → | 1999 | 2627 |
| 4 | The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000 Hit paper breakdown → | 2000 | 2302 |
| 5 | New families in the classification of glycosyl hydrolases based on amino acid sequence similarities Hit paper breakdown → | 1993 | 1708 |
| 6 | The PROSITE database, its status in 1997 Hit paper breakdown → | 1997 | 1548 |
| 7 | ScanProsite: detection of PROSITE signature matches and ProRule-associated functional and structural residues in proteins Hit paper breakdown → | 2006 | 1283 |
| 8 | The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence Hit paper breakdown → | 1997 | 989 |
| 9 | The PROSITE database, its status in 1999 Hit paper breakdown → | 1999 | 936 |
| 10 | The ENZYME database in 2000 Hit paper breakdown → | 2000 | 797 |
| 11 | Prosite: a dictionary of sites and patterns in proteins Hit paper breakdown → | 1992 | 788 |
| 12 | Arac/XylS family of transcriptional regulators Hit paper breakdown → | 1997 | 667 |
| 13 | PROSITE, a protein domain database for functional characterization and annotation Hit paper breakdown → | 2009 | 664 |
| 14 | UniProtKB/Swiss-Prot Hit paper breakdown → | 2007 | 578 |
| 15 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL Hit paper breakdown → | 1997 | 556 |
| 16 | Molecular basis of symbiosis between Rhizobium and legumes Hit paper breakdown → | 1997 | 552 |
| 17 | 1994 | 486 | |
| 18 | The Cellosaurus, a Cell-Line Knowledge Resource Hit paper breakdown → | 2018 | 455 |
| 19 | 1992 | 438 | |
| 20 | 1991 | 423 |
About Amos Bairoch
Amos Bairoch is a scholar working on Molecular Biology, Spectroscopy, Genetics, Ecology and Materials Chemistry, having authored 155 papers that have together received 39.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (41 papers), Advanced Proteomics Techniques and Applications (38 papers), RNA and protein synthesis mechanisms (38 papers), Machine Learning in Bioinformatics (24 papers), Bioinformatics and Genomic Networks (16 papers), Enzyme Structure and Function (14 papers), Biomedical Text Mining and Ontologies (14 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Molecular Biology (26.2k citations), Biotechnology (2.4k citations), Spectroscopy (2.9k citations), Endocrinology (755 citations) and Genetics (3.8k citations). Amos Bairoch has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Rolf Apweiler, Elisabeth Gasteiger, Denis F. Hochstrasser, Marc R. Wilkins, Kay Hofmann, Bernard Henrissat, Philip Bucher, Ron D. Appel, Keith L. Williams and Jean-Charles Sánchez. Their work appears in journals such as Nucleic Acids Research, Electrophoresis, Bioinformatics, Database 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.