Katrin Fundel
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Rheumatology top 5%
- Osteoarthritis Treatment and Mechanisms
Papers in
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- Osteoarthritis Treatment and Mechanisms 4
-
- Biomedical Text Mining and Ontologies 9
- Bioinformatics and Genomic Networks 9
- Molecular Biology Techniques and Applications 4
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 3
- Co-authors
- Ralf ZimmerRobert KüffnerThomas AignerJuliane FluckDaniel HanischHeinz‐Theodor MevissenPia Margarethe GebhardJochen Haag
- Journals
- Bioinformatics (4 papers)BMC Bioinformatics (3 papers)Bioinformatics and Biology Insights (1 paper)Clinical Orthopaedics and Related Research (1 paper)Genome biology (1 paper)
- Partner nations
- GermanyDenmarkUnited Kingdom
In The Last Decade
Katrin Fundel
17 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 694
- Rheumatology 328
- Molecular Biology 1.1k
- Cancer Research 127
- Pharmacology 134
Countries citing papers authored by Katrin Fundel
This map shows the geographic impact of Katrin Fundel'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 Katrin Fundel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katrin Fundel more than expected).
Fields of papers citing papers by Katrin Fundel
This network shows the impact of papers produced by Katrin Fundel. 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 Katrin Fundel. The network helps show where Katrin Fundel may publish in the future.
Co-authors
The 25 scholars most cited alongside Katrin Fundel, 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 | 2008 | 241 | |
| 2 | 2008 | 23 | |
| 3 | 2008 | 14 | |
| 4 | 2007 | 7 | |
| 5 | 2007 | 2 | |
| 6 | 2007 | 116 | |
| 7 | Characterization of protein interactions | 2006 | 3 |
| 8 | 2006 | 37 | |
| 9 | 2006 | 285 | |
| 10 | 2006 | 71 | |
| 11 | 2006 | 389 | |
| 12 | Data processing effects on the interpretation of microarray gene expression experiments | 2005 | 4 |
| 13 | 2005 | 37 | |
| 14 | 2005 | 229 | |
| 15 | 2005 | 2 | |
| 16 | 2005 | 24 | |
| 17 | ProMiner: Organism-specific protein name detection using approximate string matching | 2004 | 16 |
About Katrin Fundel
Katrin Fundel is a scholar working on Rheumatology, Molecular Biology, Artificial Intelligence, Information Systems and Management and Pharmacology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Bioinformatics and Genomic Networks (9 papers), Semantic Web and Ontologies (6 papers), Molecular Biology Techniques and Applications (4 papers), Osteoarthritis Treatment and Mechanisms (4 papers), Gene expression and cancer classification (4 papers), Genomics and Phylogenetic Studies (3 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Artificial Intelligence (694 citations), Rheumatology (328 citations), Molecular Biology (1.1k citations), Cancer Research (127 citations) and Pharmacology (134 citations). Katrin Fundel has collaborated with scholars based in Germany, Denmark and United Kingdom. Frequent co-authors include Ralf Zimmer, Robert Küffner, Thomas Aigner, Juliane Fluck, Daniel Hanisch, Heinz‐Theodor Mevissen, Pia Margarethe Gebhard, Jochen Haag, Alexander Zien and Joachim Saas. Their work appears in journals such as Bioinformatics, BMC Bioinformatics, Bioinformatics and Biology Insights, Clinical Orthopaedics and Related Research and Genome biology.
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.