Daniel Hanisch
Impact in
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- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
Papers in
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- Bioinformatics and Genomic Networks 6
- Biomedical Text Mining and Ontologies 5
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 3
- Microbial Metabolic Engineering and Bioproduction 2
- Genomics and Phylogenetic Studies 2
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- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
- Co-authors
- Ralf Zimmer (9 shared papers)Heinz‐Theodor Mevissen (4 shared papers)Juliane Fluck (4 shared papers)Alexander Zien (2 shared papers)Thomas Lengauer (2 shared papers)Katrin Fundel (2 shared papers)Florian Sohler (2 shared papers)Thomas Aigner (1 shared paper)
- Journals
- Bioinformatics (3 papers)Journal of Bone and Joint Surgery (1 paper)Biometrical Journal (1 paper)BMC Bioinformatics (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanySouth Korea
In The Last Decade
Daniel Hanisch
10 papers receiving 628 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 545
- Artificial Intelligence 248
- Computational Theory and Mathematics 79
- Rheumatology 49
- Immunology and Allergy 11
Countries citing papers authored by Daniel Hanisch
This map shows the geographic impact of Daniel Hanisch'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 Daniel Hanisch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hanisch more than expected).
Fields of papers citing papers by Daniel Hanisch
This network shows the impact of papers produced by Daniel Hanisch. 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 Daniel Hanisch. The network helps show where Daniel Hanisch may publish in the future.
Co-authors
The 14 scholars most cited alongside Daniel Hanisch, 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 | 2005 | 229 | |
| 2 | 2002 | 200 | |
| 3 | 2002 | 83 | |
| 4 | 2004 | 55 | |
| 5 | 2003 | 53 | |
| 6 | 2004 | 16 | |
| 7 | ProMiner: Organism-specific protein name detection using approximate string matching | 2004 | 16 |
| 8 | Knowledge representation model for systems-level analysis of signal transduction networks. | 2004 | 11 |
| 9 | A hypergraph-based method for unification of existing protein structure- and sequence-families. | 2002 | 3 |
| 10 | 2004 | 2 |
About Daniel Hanisch
Daniel Hanisch is a scholar working on Molecular Biology, Artificial Intelligence, Oncology, Rheumatology and Computational Theory and Mathematics, having authored 10 papers that have together received 668 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (5 papers), Gene expression and cancer classification (3 papers), Gene Regulatory Network Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Genomics and Phylogenetic Studies (2 papers), Advanced Text Analysis Techniques (1 paper) and Semantic Web and Ontologies (1 paper). The work is most often cited by research in Molecular Biology (545 citations), Artificial Intelligence (248 citations), Computational Theory and Mathematics (79 citations), Rheumatology (49 citations) and Immunology and Allergy (11 citations). Daniel Hanisch has collaborated with scholars based in Germany and South Korea. Frequent co-authors include Ralf Zimmer, Heinz‐Theodor Mevissen, Juliane Fluck, Alexander Zien, Thomas Lengauer, Katrin Fundel, Florian Sohler, Thomas Aigner, Sang Yup Lee and Dong‐Yup Lee. Their work appears in journals such as Bioinformatics, Journal of Bone and Joint Surgery, Biometrical Journal, BMC Bioinformatics and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.