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
- Metabolomics and Mass Spectrometry Studies 1
-
- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Nadine Ziemert (3 shared papers)Tilmann Weber (2 shared papers)Kai Blin (1 shared paper)Sang Yup Lee (1 shared paper)Simon J. Shaw (1 shared paper)Marnix H. Medema (1 shared paper)Mohammad Alanjary (1 shared paper)Ákos T. Kovács (1 shared paper)
- Journals
- mSystems (2 papers)Nucleic Acids Research (2 papers)BMC Genomics (1 paper)Clinical Microbiology and Infection (1 paper)IDCases (1 paper)
- Partner nations
- DenmarkGermanyNetherlands
In The Last Decade
Kat Steinke
7 papers receiving 2.7k citations
Kat Steinke's Hit Papers
Peers
Comparison fields: 5 of 95
- Microbiology 55
- Pharmacology 1.2k
- Biotechnology 474
- Molecular Biology 1.8k
- Ecology 602
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 | 2259 |
| 2 | AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential Hit paper breakdown → | 2019 | 337 |
| 3 | 2021 | 62 | |
| 4 | 2020 | 45 | |
| 5 | 2021 | 18 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2025 | 0 |
About Kat Steinke
Kat Steinke is a scholar working on Molecular Biology, Pharmacology, Infectious Diseases, Microbiology and Ecology, having authored 8 papers that have together received 2.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Microbial Natural Products and Biosynthesis (2 papers), COVID-19 Clinical Research Studies (1 paper), Actinomycetales infections and treatment (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Bacterial Identification and Susceptibility Testing (1 paper) and Probiotics and Fermented Foods (1 paper). The work is most often cited by research in Microbiology (55 citations), Pharmacology (1.2k citations), Biotechnology (474 citations), Molecular Biology (1.8k citations) and Ecology (602 citations). Kat Steinke has collaborated with scholars based in Denmark, Germany and Netherlands. Frequent co-authors include Nadine Ziemert, Tilmann Weber, Kai Blin, Sang Yup Lee, Simon J. Shaw, Marnix H. Medema, Mohammad Alanjary, Ákos T. Kovács, Omkar S. Mohite and Leonard Kaysser. Their work appears in journals such as mSystems, Nucleic Acids Research, 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.