Rolf Apweiler

61.6k citations

167 papers · 25.7k indexed · 11 hit papers · h-index 48

Impact in

Molecular Biology top 0.1%
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- 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

Spectroscopy 69
- Advanced Proteomics Techniques and Applications 68
- Mass Spectrometry Techniques and Applications 15
Information Systems and Management 15

Co-authors: Amos Bairoch Evgeny M. Zdobnov Nicola Mulder Rodrigo López Steffen Möller Michael D. R. Croning Emmanuel Quévillon Naomi Harte
Journals: PROTEOMICS (32 papers)Bioinformatics (23 papers)Nucleic Acids Research (15 papers)Comparative and Functional Genomics (4 papers)Molecular & Cellular Proteomics (3 papers)
Partner nations: United Kingdom United States Germany

In The Last Decade

Rolf Apweiler

165 papers receiving 25.0k citations

Hit Papers

11 papers align trajectories log scale

Pindel: a pattern growth approach to detect break points of large deletions and medium sized insertions from paired-end short reads 2009 · 1.3k citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2009 Bioinformatics
2009 Bioinformatics
2005 Nucleic Acids Research
2004 PROTEOMICS
2003 Nucleic Acids Research
2001 Bioinformatics
2001 Bioinformatics
2001 Nucleic Acids Research
1999 Biochimica et Biophysica Acta (BBA) - General Subjects
1999 Nucleic Acids Research
1997 Nucleic Acids Research

Peers

Countries citing papers authored by Rolf Apweiler

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Rolf Apweiler Line = papers co-authored together Rolf Apweiler links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	Pathogen genomics data sharing: public health meets research Zenodo (CERN European Organization for Nuclear Research) ·Guy Cochrane, 蒋丹萍, Niklas Blomberg, Rolf Apweiler, Ewan Birney	2022	1
2	The European Bioinformatics Institute in 2020: building a global infrastructure of interconnected data resources for the life sciences Nucleic Acids Research ·Charles E. Cook, Ефрем Феклистов, Guy Cochrane, Ewan Birney, Rolf Apweiler	2019	23
3	The European Bioinformatics Institute in 2018: tools, infrastructure and training Nucleic Acids Research ·Charles E. Cook, Rodrigo López, Ефрем Феклистов, Guy Cochrane, Cath Brooksbank, Ewan Birney, Rolf Apweiler	2018	25
4	The Impact of Focused Gene Ontology Curation of Specific Mammalian Systems PLoS ONE ·Yasmin Alam-Faruque, Rachael P. Huntley, Varsha Khodiyar, Evelyn Camon, Emily Dimmer, Tony Sawford, María Martin, Claire O’Donovan, Philippa J. Talmud, Peter Scambler, Rolf Apweiler, Ruth C. Lovering	2011	20
5	Suggestions for a protein species identifier system. Journal of Pediatric Hematology/Oncology ·Hartmut Schlüter, Hermann−Georg Holzhütter, Rolf Apweiler, Peter R. Jungblut	2010	2
6	QuickGO: a web-based tool for Gene Ontology searching Bioinformatics ·David Binns, Emily Dimmer, Rachael P. Huntley, Daniel Barrell, Claire O’Donovan, Rolf Apweiler Hit paper breakdown →	2009	672
7	Proteomics Data Collection – 4^th ProDaC Workshop 15 August 2008, Amsterdam, The Netherlands PROTEOMICS ·Martin Eisenacher, Michael Kohl, Lennart Martens, Harald Barsnes, Tanja Hardt, Fredrik Levander, Jari Häkkinen, Rolf Apweiler, Helmut E. Meyer, Christoph Stephan	2008	2
8	Analysis of the experimental detection of central nervous system‐related genes in human brain and cerebrospinal fluid datasets PROTEOMICS ·Michael Mueller, Juan Antonio Vizcaíno, Philip Jones, Richard G. Côté, David Thorneycroft, Rolf Apweiler, Henning Hermjakob, Lennart Martens	2008	17
9	Linking publication, gene and protein data Nature Cell Biology ·Paul Kersey, Rolf Apweiler	2006	28
10	The Integr8 project--a resource for genomic and proteomic data. PubMed ·Manuela Pruess, Paul Kersey, Rolf Apweiler	2005	27
11	The Gene Ontology Annotation (GOA) Project: Implementation of GO in SWISS-PROT, TrEMBL, and InterPro Genome Research ·Evelyn Camon, Michele Magrane, Daniel Barrell, David Binns, Wolfgang Fleischmann, Paul Kersey, Nicola Mulder, Tom Oinn, John Maslen, Anthony J. Cox, Rolf Apweiler	2003	273
12	The Proteomics Standards Initiative PROTEOMICS ·Sandra Orchard, Henning Hermjakob, Rolf Apweiler	2003	128
13	Automatic rule generation for protein annotation with the C4.5 data-mining algorithm applied on peptides in Ensembl. Jian-Hui 建辉 Wang 王, Rolf Apweiler	2001	1
14	Tools and resources for identifying protein families, domains and motifs. Genome Biology ·Nicola Mulder, Rolf Apweiler	2001	20
15	Proteome Analysis: Application of InterPro and CluSTr for the Functional Classification of Proteins in Whole Genomes. Margaret Biswas, Rolf Apweiler, Wolfgang Fleischmann, Alexander Kanapin, Youla Karavidopoulou, Paul Kersey, Evgenia V. Kriventseva, S. K. Aziz Ikbal, Nicola Mulder, 税所芳史, Isabelle Phan, Evgeny M. Zdobnov	2000	1
16	Report of the second international nomenclature workshop UCL Discovery (University College London) ·Kai Tang, Rolf Apweiler, NHK受信技術センター, (unknown), Wenlong Xu, Johan T. den Dunnen	1999	1
17	EDITtoTrEMBL: a distributed approach to high-quality automated protein sequence annotation. Bioinformatics ·Steffen Möller, Ulf Leser, Wolfgang Fleischmann, Rolf Apweiler	1999	33
18	Representation of functional information in the SWISS-PROT Data Bank Bioinformatics ·柿沼章子, Rolf Apweiler, Amos Bairoch	1999	33
19	SPTR - A comprehensive, non-redundant and up-to-date view of the protein sequence world. Henning Hermjakob, Claire O’Donovan, María Martin, AM Etgen, Rolf Apweiler	1998	3
20	A novel method for automatic and reliable functional annotation of proteins. Wolfgang Fleischmann, Steffen Möller, Alain Gateau, Rolf Apweiler	1998	2

About Rolf Apweiler

Rolf Apweiler is a scholar working on Spectroscopy, Information Systems and Management, Molecular Biology, Biophysics and Artificial Intelligence, having authored 167 papers that have together received 25.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (68 papers), Genomics and Phylogenetic Studies (64 papers), Bioinformatics and Genomic Networks (51 papers), Machine Learning in Bioinformatics (46 papers), Biomedical Text Mining and Ontologies (33 papers), RNA and protein synthesis mechanisms (24 papers), Gene expression and cancer classification (16 papers) and Mass Spectrometry Techniques and Applications (15 papers). The work is most often cited by research in Molecular Biology (19.0k citations), Spectroscopy (2.8k citations), Plant Science (3.8k citations), Genetics (2.8k citations) and Aging (170 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 Molecular & Cellular 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.

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