Rolf Apweiler
Impact in
- Molecular Biology top 0.05%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Spectroscopy top 0.05%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Spectroscopy 87
- Advanced Proteomics Techniques and Applications 86
- Mass Spectrometry Techniques and Applications 20
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- Genomics and Phylogenetic Studies 68
- Bioinformatics and Genomic Networks 62
- Machine Learning in Bioinformatics 51
- Biomedical Text Mining and Ontologies 33
- RNA and protein synthesis mechanisms 32
- Genetics, Bioinformatics, and Biomedical Research 19
- Co-authors
- Amos Bairoch (10 shared papers)Evgeny M. Zdobnov (6 shared papers)Nicola Mulder (11 shared papers)Rodrigo Sanz López (8 shared papers)Henning Hermjakob (44 shared papers)Steffen Möller (5 shared papers)Emmanuel Quévillon (1 shared paper)Naomi Harte (1 shared paper)
- Journals
- PROTEOMICS (38 papers)Bioinformatics (24 papers)Nucleic Acids Research (24 papers)Nature Biotechnology (6 papers)Comparative and Functional Genomics (4 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Rolf Apweiler
213 papers receiving 43.1k citations
Rolf Apweiler's Hit Papers
Peers
Comparison fields: 5 of 210
- Molecular Biology 30.2k
- Spectroscopy 5.3k
- Cancer Research 3.2k
- Aging 340
- Genetics 4.0k
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 217 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | UniProt: the Universal Protein knowledgebase Hit paper breakdown → | 2003 | 6214 |
| 2 | The Transcriptional Landscape of the Mammalian Genome Hit paper breakdown → | 2005 | 2831 |
| 3 | The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999 Hit paper breakdown → | 1999 | 2669 |
| 4 | InterProScan – an integration platform for the signature-recognition methods in InterPro Hit paper breakdown → | 2001 | 2401 |
| 5 | InterProScan: protein domains identifier Hit paper breakdown → | 2005 | 2390 |
| 6 | ProteomeXchange provides globally coordinated proteomics data submission and dissemination Hit paper breakdown → | 2014 | 2299 |
| 7 | InterPro: the integrative protein signature database Hit paper breakdown → | 2008 | 1664 |
| 8 | 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 | 1582 |
| 9 | On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database Hit paper breakdown → | 1999 | 1579 |
| 10 | Comparative Genomics of the Eukaryotes Hit paper breakdown → | 2000 | 1379 |
| 11 | Evaluation of methods for the prediction of membrane spanning regions Hit paper breakdown → | 2001 | 968 |
| 12 | InterPro in 2011: new developments in the family and domain prediction database Hit paper breakdown → | 2011 | 884 |
| 13 | The InterPro database, an integrated documentation resource for protein families, domains and functional sites Hit paper breakdown → | 2001 | 854 |
| 14 | The Universal Protein Resource (UniProt) in 2010 Hit paper breakdown → | 2010 | 834 |
| 15 | QuickGO: a web-based tool for Gene Ontology searching Hit paper breakdown → | 2009 | 731 |
| 16 | Overview of the HUPO Plasma Proteome Project: Results from the pilot phase with 35 collaborating laboratories and multiple analytical groups, generating a core dataset of 3020 proteins and a publicly‐available database Hit paper breakdown → | 2005 | 682 |
| 17 | IntAct--open source resource for molecular interaction data Hit paper breakdown → | 2006 | 644 |
| 18 | The minimum information about a proteomics experiment (MIAPE) Hit paper breakdown → | 2007 | 619 |
| 19 | 2004 | 617 | |
| 20 | 1997 | 589 |
About Rolf Apweiler
Rolf Apweiler is a scholar working on Spectroscopy, Molecular Biology, Information Systems and Management, Cancer Research and Artificial Intelligence, having authored 217 papers that have together received 44.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (86 papers), Genomics and Phylogenetic Studies (68 papers), Bioinformatics and Genomic Networks (62 papers), Machine Learning in Bioinformatics (51 papers), Biomedical Text Mining and Ontologies (33 papers), RNA and protein synthesis mechanisms (32 papers), Mass Spectrometry Techniques and Applications (20 papers) and Genetics, Bioinformatics, and Biomedical Research (19 papers). The work is most often cited by research in Molecular Biology (30.2k citations), Spectroscopy (5.3k citations), Cancer Research (3.2k citations), Aging (340 citations) and Genetics (4.0k citations). Rolf Apweiler has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Amos Bairoch, Evgeny M. Zdobnov, Nicola Mulder, Rodrigo Sanz López, Henning Hermjakob, Steffen Möller, Emmanuel Quévillon, Naomi Harte, S. Pillai and Michael D. R. Croning. Their work appears in journals such as PROTEOMICS, Bioinformatics, Nucleic Acids Research, Nature Biotechnology and Comparative and Functional Genomics.
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.