Meik Bittkowski
Impact in
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- Scientific Computing and Data Management
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- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Protein Structure and Dynamics
- Enzyme Catalysis and Immobilization
- Biomedical Text Mining and Ontologies
Papers in
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- Microbial Metabolic Engineering and Bioproduction 3
- Bioinformatics and Genomic Networks 3
- Gene Regulatory Network Analysis 3
- Protein Structure and Dynamics 1
- Machine Learning in Bioinformatics 1
- RNA and protein synthesis mechanisms 1
- Co-authors
- Andreas Weidemann (4 shared papers)Martin Golebiewski (4 shared papers)Lei Shi (3 shared papers)Renate Kania (3 shared papers)Wolfgang G. Müller (3 shared papers)Ulrike Wittig (3 shared papers)Isabel Rojas (3 shared papers)Maja Rey (3 shared papers)
- Journals
- FEBS Journal (1 paper)Proteins Structure Function and Bioinformatics (1 paper)Nucleic Acids Research (1 paper)BMC Systems Biology (1 paper)Perspectives in Science (1 paper)
- Partner nations
- GermanyNetherlandsSouth Africa
In The Last Decade
Meik Bittkowski
5 papers receiving 329 citations
Peers
Comparison fields: 5 of 55
- Information Systems and Management 44
- Molecular Biology 264
- Computational Theory and Mathematics 27
- Aging 2
- Pharmacology 9
Countries citing papers authored by Meik Bittkowski
This map shows the geographic impact of Meik Bittkowski'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 Meik Bittkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meik Bittkowski more than expected).
Fields of papers citing papers by Meik Bittkowski
This network shows the impact of papers produced by Meik Bittkowski. 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 Meik Bittkowski. The network helps show where Meik Bittkowski may publish in the future.
Co-authors
The 22 scholars most cited alongside Meik Bittkowski, 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 | 2011 | 198 | |
| 2 | 2015 | 69 | |
| 3 | 2011 | 37 | |
| 4 | 2013 | 15 | |
| 5 | 2014 | 14 |
About Meik Bittkowski
Meik Bittkowski is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 5 papers that have together received 333 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene Regulatory Network Analysis (3 papers), Protein Structure and Dynamics (1 paper), Machine Learning in Bioinformatics (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Information Systems and Management (44 citations), Molecular Biology (264 citations), Computational Theory and Mathematics (27 citations), Aging (2 citations) and Pharmacology (9 citations). Meik Bittkowski has collaborated with scholars based in Germany, Netherlands and South Africa. Frequent co-authors include Andreas Weidemann, Martin Golebiewski, Lei Shi, Renate Kania, Wolfgang G. Müller, Ulrike Wittig, Isabel Rojas, Maja Rey, Lenneke M. Jong and Saqib Mir. Their work appears in journals such as FEBS Journal, Proteins Structure Function and Bioinformatics, Nucleic Acids Research, BMC Systems Biology and Perspectives in Science.
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.