Wolfgang Fleischmann
Impact in
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- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Biomedical Text Mining and Ontologies
- Protein Structure and Dynamics
- Gene expression and cancer classification
Papers in
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- Chemical and Physical Properties in Aqueous Solutions 1
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- Machine Learning in Bioinformatics 8
- Genomics and Phylogenetic Studies 8
- RNA and protein synthesis mechanisms 4
- Bioinformatics and Genomic Networks 3
- Biomedical Text Mining and Ontologies 3
- Co-authors
- Rolf ApweilerDavid BinnsMichele MagraneNicola MulderPaul KerseyEvelyn CamonDaniel BarrellTom Oinn
- Journals
- Bioinformatics (5 papers)Journal of Biotechnology (1 paper)Journal of Chemical & Engineering Data (1 paper)Genome Research (1 paper)Computer applications in the biosciences (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Wolfgang Fleischmann
12 papers receiving 648 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 573
- Aging 9
- Filtration and Separation 10
- Spectroscopy 77
- Computational Theory and Mathematics 43
Countries citing papers authored by Wolfgang Fleischmann
This map shows the geographic impact of Wolfgang Fleischmann'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 Wolfgang Fleischmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wolfgang Fleischmann more than expected).
Fields of papers citing papers by Wolfgang Fleischmann
This network shows the impact of papers produced by Wolfgang Fleischmann. 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 Wolfgang Fleischmann. The network helps show where Wolfgang Fleischmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Wolfgang Fleischmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 1 | |
| 2 | 2004 | 133 | |
| 3 | 2003 | 273 | |
| 4 | 2002 | 7 | |
| 5 | 2001 | 91 | |
| 6 | Proteome Analysis: Application of InterPro and CluSTr for the Functional Classification of Proteins in Whole Genomes. | 2000 | 1 |
| 7 | 2000 | 25 | |
| 8 | 1999 | 33 | |
| 9 | 1999 | 64 | |
| 10 | 1999 | 23 | |
| 11 | A novel method for automatic and reliable functional annotation of proteins. | 1998 | 2 |
| 12 | A novel method for automatic and reliable functional annotation. | 1998 | 11 |
| 13 | 1984 | 13 |
About Wolfgang Fleischmann
Wolfgang Fleischmann is a scholar working on Filtration and Separation, Molecular Biology, Information Systems and Management, Spectroscopy and Mechanics of Materials, having authored 13 papers that have together received 677 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (8 papers), Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (4 papers), Bioinformatics and Genomic Networks (3 papers), Biomedical Text Mining and Ontologies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Topic Modeling (1 paper) and Chemical and Physical Properties in Aqueous Solutions (1 paper). The work is most often cited by research in Molecular Biology (573 citations), Aging (9 citations), Filtration and Separation (10 citations), Spectroscopy (77 citations) and Computational Theory and Mathematics (43 citations). Wolfgang Fleischmann has collaborated with scholars based in United Kingdom. Frequent co-authors include Rolf Apweiler, David Binns, Michele Magrane, Nicola Mulder, Paul Kersey, Evelyn Camon, Daniel Barrell, Tom Oinn, John Maslen and Anthony J. Cox. Their work appears in journals such as Bioinformatics, Journal of Biotechnology, Journal of Chemical & Engineering Data, Genome Research and Computer applications in the biosciences.
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.