Kat Steinke

3.8k total citations · 2 hit papers
8 papers, 2.6k citations indexed

About

Kat Steinke is a scholar working on Molecular Biology, Infectious Diseases and Pharmacology. According to data from OpenAlex, Kat Steinke has authored 8 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Pharmacology. Recurrent topics in Kat Steinke's work include Genomics and Phylogenetic Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Kat Steinke is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Microbial Natural Products and Biosynthesis (2 papers). Kat Steinke collaborates with scholars based in Denmark, Germany and Netherlands. Kat Steinke's co-authors include Nadine Ziemert, Tilmann Weber, Kai Blin, Sang Yup Lee, Marnix H. Medema, Simon J. Shaw, Mohammad Alanjary, Ákos T. Kovács, Omkar S. Mohite and Shrikant Mantri and has published in prestigious journals such as Nucleic Acids Research, BMC Genomics and Clinical Microbiology and Infection.

In The Last Decade

Kat Steinke

6 papers receiving 2.6k citations

Hit Papers

antiSMASH 5.0: updates to the secondary metabolite genome... 2019 2026 2021 2023 2019 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kat Steinke Denmark 5 1.8k 1.2k 694 610 476 8 2.6k
Mohammad Alanjary Germany 16 2.0k 1.1× 1.4k 1.2× 544 0.8× 486 0.8× 553 1.2× 25 2.9k
Alexander Kloosterman Netherlands 8 1.4k 0.8× 814 0.7× 527 0.8× 412 0.7× 348 0.7× 9 2.1k
Victor de Jager Netherlands 11 1.3k 0.7× 874 0.8× 688 1.0× 404 0.7× 317 0.7× 13 2.2k
Marc G. Chevrette United States 20 1.4k 0.8× 994 0.9× 439 0.6× 404 0.7× 376 0.8× 42 2.3k
Atsuko Matsumoto Japan 30 1.3k 0.7× 1.1k 0.9× 580 0.8× 445 0.7× 437 0.9× 133 2.6k
Takuji Kudo Japan 30 1.9k 1.1× 714 0.6× 709 1.0× 736 1.2× 330 0.7× 130 2.8k
Cameron L. M. Gilchrist Australia 16 1.5k 0.8× 489 0.4× 410 0.6× 516 0.8× 194 0.4× 23 2.5k
Torsten Stein Germany 23 1.7k 0.9× 514 0.4× 815 1.2× 572 0.9× 353 0.7× 31 3.2k
Barbara R. Terlouw Netherlands 7 946 0.5× 512 0.4× 415 0.6× 317 0.5× 231 0.5× 9 1.5k
Menno van der Voort Netherlands 21 1.4k 0.7× 344 0.3× 1.8k 2.6× 599 1.0× 295 0.6× 36 3.5k

Countries citing papers authored by Kat Steinke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kat Steinke

This figure shows the co-authorship network connecting the top 25 collaborators of Kat Steinke. A scholar is included among the top collaborators of Kat Steinke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kat Steinke. Kat Steinke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Steinke, Kat, Karina Gravgaard Thomsen, Silje Vermedal Hoegh, et al.. (2025). RSYD-BASIC: a bioinformatic pipeline for routine sequence analysis and data processing of bacterial isolates for clinical microbiology. Access Microbiology. 7(3).
2.
Bay, A., Michael Roost Clausen, Birgit Thorup Røge, et al.. (2024). Antiviral combination treatment of SARS-CoV-2 after repeated treatment failures of remdesivir monotherapy: A case report. IDCases. 38. e02118–e02118. 1 indexed citations
3.
Steinke, Kat, Sünje Johanna Pamp, & Patrick Munk. (2024). MAGICIAN: MAG simulation for investigating criteria for bioinformatic analysis. BMC Genomics. 25(1). 55–55.
4.
Steinke, Kat, Omkar S. Mohite, Tilmann Weber, & Ákos T. Kovács. (2021). Phylogenetic Distribution of Secondary Metabolites in the Bacillus subtilis Species Complex. mSystems. 6(2). 56 indexed citations
5.
Madsen, Lone Wulff, Marianne Nielsine Skov, Thomas Vognbjerg Sydenham, et al.. (2021). Rectally shed SARS-CoV-2 in COVID-19 inpatients is consistently lower than respiratory shedding and lacks infectivity. Clinical Microbiology and Infection. 28(2). 304.e1–304.e3. 17 indexed citations
6.
McKinnie, Shaun M. K., Shrikant Mantri, Kat Steinke, et al.. (2020). Comparative Genomics and Metabolomics in the Genus Nocardia. mSystems. 5(3). 44 indexed citations
7.
Blin, Kai, Simon J. Shaw, Kat Steinke, et al.. (2019). antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline. Nucleic Acids Research. 47(W1). W81–W87. 2194 indexed citations breakdown →
8.
Alanjary, Mohammad, Kat Steinke, & Nadine Ziemert. (2019). AutoMLST: an automated web server for generating multi-locus species trees highlighting natural product potential. Nucleic Acids Research. 47(W1). W276–W282. 327 indexed citations breakdown →

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.

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