Rolf Apweiler
Impact in
- Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Biomedical Text Mining and Ontologies
- Spectroscopy top 0.1%
- Advanced Proteomics Techniques and Applications
Papers in
-
- Genomics and Phylogenetic Studies 57
- Bioinformatics and Genomic Networks 47
- Machine Learning in Bioinformatics 44
- Biomedical Text Mining and Ontologies 28
- RNA and protein synthesis mechanisms 23
- Gene expression and cancer classification 14
- Spectroscopy 69
- Advanced Proteomics Techniques and Applications 68
- Mass Spectrometry Techniques and Applications 14
- Co-authors
- Amos Bairoch (9 shared papers)Evgeny M. Zdobnov (6 shared papers)Nicola Mulder (11 shared papers)Rodrigo López (6 shared papers)Steffen Möller (5 shared papers)Michael D. R. Croning (2 shared papers)Emmanuel Quévillon (1 shared paper)Naomi Harte (1 shared paper)
- Journals
- PROTEOMICS (33 papers)Bioinformatics (23 papers)Nucleic Acids Research (15 papers)Comparative and Functional Genomics (4 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Rolf Apweiler
166 papers receiving 25.3k citations
Rolf Apweiler's Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 17.5k
- Spectroscopy 2.7k
- Genetics 2.5k
- Plant Science 3.4k
- Aging 144
Countries citing papers authored by Rolf Apweiler
This map shows the geographic impact of Rolf Apweiler'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 Rolf Apweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rolf Apweiler more than expected).
Fields of papers citing papers by Rolf Apweiler
This network shows the impact of papers produced by Rolf Apweiler. 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 Rolf Apweiler. The network helps show where Rolf Apweiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Rolf Apweiler, 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 168 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UniProt: the Universal Protein knowledgebase Hit paper breakdown → | 2003 | 5922 |
| 2 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999 Hit paper breakdown → | 1999 | 2627 |
| 3 | InterProScan: protein domains identifier Hit paper breakdown → | 2005 | 2271 |
| 4 | InterProScan – an integration platform for the signature-recognition methods in InterPro Hit paper breakdown → | 2001 | 2242 |
| 5 | On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database Hit paper breakdown → | 1999 | 1497 |
| 6 | Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads Hit paper breakdown → | 2009 | 1281 |
| 7 | Evaluation of methods for the prediction of membrane spanning regions Hit paper breakdown → | 2001 | 951 |
| 8 | The InterPro database, an integrated documentation resource for protein families, domains and functional sites Hit paper breakdown → | 2001 | 829 |
| 9 | QuickGO: a web-based tool for Gene Ontology searching Hit paper breakdown → | 2009 | 682 |
| 10 | The International Protein Index: An integrated database for proteomics experiments Hit paper breakdown → | 2004 | 601 |
| 11 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL Hit paper breakdown → | 1997 | 556 |
| 12 | 2008 | 453 | |
| 13 | 2005 | 446 | |
| 14 | 2007 | 326 | |
| 15 | 2003 | 274 | |
| 16 | 2009 | 214 | |
| 17 | 2008 | 195 | |
| 18 | 2003 | 176 | |
| 19 | 2003 | 155 | |
| 20 | 2006 | 153 |
About Rolf Apweiler
Rolf Apweiler is a scholar working on Molecular Biology, Spectroscopy, Information Systems and Management, Artificial Intelligence and Genetics, having authored 168 papers that have together received 25.9k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (68 papers), Genomics and Phylogenetic Studies (57 papers), Bioinformatics and Genomic Networks (47 papers), Machine Learning in Bioinformatics (44 papers), Biomedical Text Mining and Ontologies (28 papers), RNA and protein synthesis mechanisms (23 papers), Gene expression and cancer classification (14 papers) and Mass Spectrometry Techniques and Applications (14 papers). The work is most often cited by research in Molecular Biology (17.5k citations), Spectroscopy (2.7k citations), Genetics (2.5k citations), Plant Science (3.4k citations) and Aging (144 citations). Rolf Apweiler has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Amos Bairoch, Evgeny M. Zdobnov, Nicola Mulder, Rodrigo López, Steffen Möller, Michael D. R. Croning, Emmanuel Quévillon, Naomi Harte, S. Pillai and Henning Hermjakob. Their work appears in journals such as PROTEOMICS, Bioinformatics, Nucleic Acids Research, Comparative and Functional Genomics and PLoS ONE.
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.