Kat Steinke
Impact in
- Microbiology top 2%
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
Papers in
-
- Genomics and Phylogenetic Studies 5
- Microbial Metabolic Engineering and Bioproduction 2
- Genetics, Bioinformatics, and Biomedical Research 1
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- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Nadine Ziemert (3 shared papers)Tilmann Weber (2 shared papers)Marnix H. Medema (1 shared paper)Simon J. Shaw (1 shared paper)Kai Blin (1 shared paper)Sang Yup Lee (1 shared paper)Mohammad Alanjary (1 shared paper)Ákos T. Kovács (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)mSystems (2 papers)BMC Genomics (1 paper)Clinical Microbiology and Infection (1 paper)IDCases (1 paper)
- Partner nations
- DenmarkGermanySouth Korea
In The Last Decade
Kat Steinke
6 papers receiving 2.6k citations
Kat Steinke's Hit Papers
Peers
Comparison fields: 5 of 94
- Microbiology 56
- Pharmacology 1.2k
- Biotechnology 476
- Molecular Biology 1.8k
- Ecology 610
Countries citing papers authored by Kat Steinke
This map shows the geographic impact of Kat Steinke'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 Kat Steinke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kat Steinke more than expected).
Fields of papers citing papers by Kat Steinke
This network shows the impact of papers produced by Kat Steinke. 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 Kat Steinke. The network helps show where Kat Steinke may publish in the future.
Co-authors
The 25 scholars most cited alongside Kat Steinke, 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 | antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline Hit paper breakdown → | 2019 | 2194 |
| 2 | AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential Hit paper breakdown → | 2019 | 327 |
| 3 | 2021 | 56 | |
| 4 | 2020 | 44 | |
| 5 | 2021 | 17 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2024 | 0 |
About Kat Steinke
Kat Steinke is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Genetics and Microbiology, having authored 8 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Natural Products and Biosynthesis (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), COVID-19 Clinical Research Studies (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Actinomycetales infections and treatment (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Plant Pathogenic Bacteria Studies (1 paper). The work is most often cited by research in Microbiology (56 citations), Pharmacology (1.2k citations), Biotechnology (476 citations), Molecular Biology (1.8k citations) and Ecology (610 citations). Kat Steinke has collaborated with scholars based in Denmark, Germany and South Korea. Frequent co-authors include Nadine Ziemert, Tilmann Weber, Marnix H. Medema, Simon J. Shaw, Kai Blin, Sang Yup Lee, Mohammad Alanjary, Ákos T. Kovács, Omkar S. Mohite and Leonard Kaysser. Their work appears in journals such as Nucleic Acids Research, mSystems, BMC Genomics, Clinical Microbiology and Infection and IDCases.
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.