Jakub L. Radzikowski

597 total citations
9 papers, 418 citations indexed

About

Jakub L. Radzikowski is a scholar working on Genetics, Molecular Biology and Endocrinology. According to data from OpenAlex, Jakub L. Radzikowski has authored 9 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 2 papers in Endocrinology. Recurrent topics in Jakub L. Radzikowski's work include Bacterial Genetics and Biotechnology (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Protein Structure and Dynamics (2 papers). Jakub L. Radzikowski is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Protein Structure and Dynamics (2 papers). Jakub L. Radzikowski collaborates with scholars based in Netherlands, United Kingdom and Switzerland. Jakub L. Radzikowski's co-authors include Matthias Heinemann, Benjamin Volkmer, Oliver Kotte, Alexander Schmidt, Silke R. Vedelaar, Álvaro D. Ortega, David J. Siegel, Alan C. Spivey, Jozef Youssef and Roger Kneebone and has published in prestigious journals such as Nature Communications, Current Opinion in Biotechnology and Molecular Systems Biology.

In The Last Decade

Jakub L. Radzikowski

8 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub L. Radzikowski Netherlands 5 295 230 83 51 50 9 418
Atsushi Yahashiri United States 10 231 0.8× 194 0.8× 44 0.5× 94 1.8× 50 1.0× 16 380
Karl Lundquist United States 10 303 1.0× 190 0.8× 98 1.2× 46 0.9× 49 1.0× 19 440
Ayşegül Güvenek United States 8 207 0.7× 166 0.7× 121 1.5× 37 0.7× 15 0.3× 9 417
Aurko Dasgupta United States 5 292 1.0× 278 1.2× 27 0.3× 60 1.2× 27 0.5× 6 421
Marios Frantzeskos Sardis Greece 14 402 1.4× 323 1.4× 57 0.7× 122 2.4× 56 1.1× 15 558
Giorgos Sianidis Greece 11 417 1.4× 343 1.5× 62 0.7× 130 2.5× 61 1.2× 13 557
Samir Olatunji Ireland 10 226 0.8× 158 0.7× 60 0.7× 83 1.6× 29 0.6× 14 344
Anna M. C. Andersson Austria 4 163 0.6× 116 0.5× 57 0.7× 30 0.6× 24 0.5× 4 264
Sune Lobedanz Denmark 8 279 0.9× 237 1.0× 107 1.3× 63 1.2× 54 1.1× 9 444
Rohan Balakrishnan United States 8 460 1.6× 281 1.2× 14 0.2× 99 1.9× 25 0.5× 11 539

Countries citing papers authored by Jakub L. Radzikowski

Since Specialization
Citations

This map shows the geographic impact of Jakub L. Radzikowski'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 Jakub L. Radzikowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub L. Radzikowski more than expected).

Fields of papers citing papers by Jakub L. Radzikowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jakub L. Radzikowski. 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 Jakub L. Radzikowski. The network helps show where Jakub L. Radzikowski may publish in the future.

Co-authorship network of co-authors of Jakub L. Radzikowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub L. Radzikowski. A scholar is included among the top collaborators of Jakub L. Radzikowski 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 Jakub L. Radzikowski. Jakub L. Radzikowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Radzikowski, Jakub L., et al.. (2025). Medical Kitchen: Transdisciplinary Clinical Skills Training. The Clinical Teacher. 22(2). e70065–e70065.
2.
Radzikowski, Jakub L., et al.. (2024). Chemical Kitchen─A Transdisciplinary Introduction to a Laboratory Practice That Rebalances Students’ Self-Efficacy. Journal of Chemical Education. 101(12). 5353–5360. 1 indexed citations
3.
Bergh, Bram Van den, Joran Michiels, Jakub L. Radzikowski, et al.. (2022). Mutations in respiratory complex I promote antibiotic persistence through alterations in intracellular acidity and protein synthesis. Nature Communications. 13(1). 546–546. 29 indexed citations
4.
Radzikowski, Jakub L., et al.. (2021). The Chemical Kitchen: Toward Remote Delivery of an Interdisciplinary Practical Course. Journal of Chemical Education. 98(3). 710–713. 18 indexed citations
5.
Vedelaar, Silke R., Jakub L. Radzikowski, & Matthias Heinemann. (2021). A Robust Method for Generating, Quantifying, and Testing Large Numbers of Escherichia coli Persisters. Methods in molecular biology. 2357. 41–62. 1 indexed citations
6.
Radzikowski, Jakub L.. (2017). Systems biology of bacterial persistence, a metabolism-driven strategy for survival. Data Archiving and Networked Services (DANS). 1 indexed citations
7.
Radzikowski, Jakub L., et al.. (2017). Bacterial persistence from a system-level perspective. Current Opinion in Biotechnology. 46. 98–105. 36 indexed citations
8.
Radzikowski, Jakub L., Silke R. Vedelaar, David J. Siegel, et al.. (2016). Bacterial persistence is an active σ S stress response to metabolic flux limitation. Molecular Systems Biology. 12(9). 882–882. 134 indexed citations
9.
Kotte, Oliver, Benjamin Volkmer, Jakub L. Radzikowski, & Matthias Heinemann. (2014). Phenotypic bistability in Escherichia coli 's central carbon metabolism. Molecular Systems Biology. 10(7). 736–736. 198 indexed citations

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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2026