Jan Taubert
Impact in
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- Scientific Computing and Data Management
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- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Microbial Metabolic Engineering and Bioproduction
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
Papers in
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- Bioinformatics and Genomic Networks 10
- Genetics, Bioinformatics, and Biomedical Research 5
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- Biomedical Text Mining and Ontologies 2
- Microbial Metabolic Engineering and Bioproduction 2
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- Scientific Computing and Data Management 3
- Co-authors
- Chris Rawlings (11 shared papers)Jan Baumbach (2 shared papers)Paul Verrier (2 shared papers)Stephan Philippi (2 shared papers)Jacob Köhler (3 shared papers)Andre Skusa (1 shared paper)Michael Specht (1 shared paper)Artem Lysenko (5 shared papers)
- Journals
- Bioinformatics (2 papers)Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics (2 papers)Frontiers in Genetics (1 paper)Drug Discovery Today (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jan Taubert
13 papers receiving 347 citations
Peers
Comparison fields: 5 of 77
- Information Systems and Management 57
- Molecular Biology 249
- Computational Theory and Mathematics 31
- Biophysics 11
- Information Systems 42
Countries citing papers authored by Jan Taubert
This map shows the geographic impact of Jan Taubert'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 Jan Taubert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Taubert more than expected).
Fields of papers citing papers by Jan Taubert
This network shows the impact of papers produced by Jan Taubert. 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 Jan Taubert. The network helps show where Jan Taubert may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Taubert, 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 | 139 | |
| 2 | 2019 | 90 | |
| 3 | 2016 | 30 | |
| 4 | 2012 | 26 | |
| 5 | 2009 | 17 | |
| 6 | 2007 | 14 | |
| 7 | 2011 | 12 | |
| 8 | 2007 | 12 | |
| 9 | 2013 | 9 | |
| 10 | 2014 | 4 | |
| 11 | 2008 | 3 | |
| 12 | 2011 | 2 | |
| 13 | 2011 | 1 |
About Jan Taubert
Jan Taubert is a scholar working on Molecular Biology, Information Systems and Management, Genetics, Plant Science and Information Systems, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Genetics, Bioinformatics, and Biomedical Research (5 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers), Scientific Computing and Data Management (3 papers), Biomedical Text Mining and Ontologies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Information Systems and Management (57 citations), Molecular Biology (249 citations), Computational Theory and Mathematics (31 citations), Biophysics (11 citations) and Information Systems (42 citations). Jan Taubert has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Chris Rawlings, Jan Baumbach, Paul Verrier, Stephan Philippi, Jacob Köhler, Andre Skusa, Michael Specht, Artem Lysenko, Matthew Hindle and Keywan Hassani‐Pak. Their work appears in journals such as Bioinformatics, Berichte aus der medizinischen Informatik und Bioinformatik/Journal of integrative bioinformatics, Frontiers in Genetics, Drug Discovery Today and BMC Bioinformatics.
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.