Mathias Krull
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
Papers in
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- Bioinformatics and Genomic Networks 4
- Biomedical Text Mining and Ontologies 2
- RNA modifications and cancer 2
- Genomics and Chromatin Dynamics 2
- Genetics 4
- Genomics and Rare Diseases 2
- Genetic Associations and Epidemiology 1
- Co-authors
- Edgar Wingender (5 shared papers)Jürgen Dönitz (1 shared paper)Martin Haubrock (1 shared paper)Alexander Kel (4 shared papers)Nico Voss (3 shared papers)Olga Kel‐Margoulis (3 shared papers)Claudia Choi (2 shared papers)А. П. Потапов (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)BMC Genomics (1 paper)BMC Systems Biology (1 paper)Comparative and Functional Genomics (1 paper)BMC Bioinformatics (1 paper)
- Partner nations
- GermanyRussiaNetherlands
In The Last Decade
Mathias Krull
8 papers receiving 373 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 316
- Cancer Research 50
- Computational Theory and Mathematics 44
- Oncology 40
- Immunology 28
Countries citing papers authored by Mathias Krull
This map shows the geographic impact of Mathias Krull'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 Mathias Krull with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathias Krull more than expected).
Fields of papers citing papers by Mathias Krull
This network shows the impact of papers produced by Mathias Krull. 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 Mathias Krull. The network helps show where Mathias Krull may publish in the future.
Co-authors
The 20 scholars most cited alongside Mathias Krull, 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 | 118 | |
| 2 | 2017 | 81 | |
| 3 | 2003 | 79 | |
| 4 | 2019 | 39 | |
| 5 | 2004 | 26 | |
| 6 | Consistent re-modeling of signaling pathways and its implementation in the TRANSPATH database. | 2004 | 16 |
| 7 | 2010 | 11 | |
| 8 | 2016 | 11 |
About Mathias Krull
Mathias Krull is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Cancer Research and Infectious Diseases, having authored 8 papers that have together received 381 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (2 papers), RNA modifications and cancer (2 papers), Genomics and Chromatin Dynamics (2 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetic Associations and Epidemiology (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Molecular Biology (316 citations), Cancer Research (50 citations), Computational Theory and Mathematics (44 citations), Oncology (40 citations) and Immunology (28 citations). Mathias Krull has collaborated with scholars based in Germany, Russia and Netherlands. Frequent co-authors include Edgar Wingender, Jürgen Dönitz, Martin Haubrock, Alexander Kel, Nico Voss, Olga Kel‐Margoulis, Claudia Choi, А. П. Потапов, Susanne Pistor and Philip Stegmaier. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, BMC Systems Biology, Comparative and Functional Genomics 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.