Julia Frunzke

3.9k total citations
72 papers, 2.8k citations indexed

About

Julia Frunzke is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Julia Frunzke has authored 72 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 34 papers in Genetics and 21 papers in Ecology. Recurrent topics in Julia Frunzke's work include Microbial Metabolic Engineering and Bioproduction (35 papers), Bacterial Genetics and Biotechnology (33 papers) and Bacteriophages and microbial interactions (21 papers). Julia Frunzke is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (35 papers), Bacterial Genetics and Biotechnology (33 papers) and Bacteriophages and microbial interactions (21 papers). Julia Frunzke collaborates with scholars based in Germany, United Kingdom and Switzerland. Julia Frunzke's co-authors include Regina Mahr, Michael Bott, Cornelia Gätgens, Arun Nanda, Dietrich Kohlheyer, Alexander Grünberger, Kai M. Thormann, Meike Baumgart, Nurije Mustafi and Tino Polen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Julia Frunzke

70 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Frunzke Germany 31 2.2k 643 628 623 213 72 2.8k
Danielle Tullman‐Ercek United States 27 1.7k 0.8× 591 0.9× 643 1.0× 451 0.7× 174 0.8× 66 2.4k
Boris Görke Germany 25 2.0k 0.9× 1.4k 2.2× 616 1.0× 330 0.5× 399 1.9× 46 3.0k
Jeffrey M. Skerker United States 27 3.1k 1.4× 1.2k 1.9× 552 0.9× 947 1.5× 103 0.5× 44 3.8k
Susanne Wilhelm Germany 24 1.6k 0.7× 477 0.7× 319 0.5× 265 0.4× 111 0.5× 41 2.1k
Muriel Cocaign‐Bousquet France 36 2.4k 1.1× 663 1.0× 278 0.4× 394 0.6× 229 1.1× 90 3.2k
Manuel Banzhaf United Kingdom 18 1.5k 0.7× 1.2k 1.9× 615 1.0× 153 0.2× 322 1.5× 40 2.7k
Vivek K. Mutalik United States 26 2.5k 1.2× 950 1.5× 823 1.3× 247 0.4× 58 0.3× 40 3.1k
Beat Christen Switzerland 18 1.5k 0.7× 785 1.2× 323 0.5× 174 0.3× 81 0.4× 25 2.0k
Roland Freudl Germany 36 2.5k 1.1× 1.8k 2.7× 1.0k 1.7× 293 0.5× 249 1.2× 80 3.3k
Pieter W. Postma Netherlands 26 2.0k 0.9× 1.1k 1.8× 280 0.4× 330 0.5× 463 2.2× 49 2.9k

Countries citing papers authored by Julia Frunzke

Since Specialization
Citations

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

Fields of papers citing papers by Julia Frunzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia Frunzke. 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 Julia Frunzke. The network helps show where Julia Frunzke may publish in the future.

Co-authorship network of co-authors of Julia Frunzke

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

All Works

20 of 20 papers shown
1.
Jensen, Kenneth, Tino Polen, Astrid Wirtz, et al.. (2025). Upcycling of polyamides through chemical hydrolysis and engineered Pseudomonas putida. Nature Microbiology. 10(3). 667–680. 13 indexed citations
2.
Schurr, Ulrich, et al.. (2024). Seed coating with phages for sustainable plant biocontrol of plant pathogens and influence of the seed coat mucilage. Microbial Biotechnology. 17(6). e14507–e14507. 7 indexed citations
3.
Wirtz, Astrid, et al.. (2024). Selective production of the itaconic acid-derived compounds 2-hydroxyparaconic and itatartaric acid. Metabolic Engineering Communications. 19. e00252–e00252.
4.
Thormann, Kai M., et al.. (2023). Bacterial multicellular behavior in antiviral defense. Current Opinion in Microbiology. 74. 102314–102314. 16 indexed citations
5.
Steinchen, Wieland, Gert Bange, Julia Frunzke, et al.. (2023). Structural and functional characterization of MrpR, the master repressor of the Bacillus subtilis prophage SPβ. Nucleic Acids Research. 51(17). 9452–9474. 6 indexed citations
6.
Sharma, Vikas, et al.. (2023). Systematic analysis of prophage elements in actinobacterial genomes reveals a remarkable phylogenetic diversity. Scientific Reports. 13(1). 4410–4410. 9 indexed citations
7.
Frunzke, Julia, et al.. (2022). A pseudokinase version of the histidine kinase ChrS promotes high heme tolerance of Corynebacterium glutamicum. Frontiers in Microbiology. 13. 997448–997448. 1 indexed citations
8.
Frunzke, Julia, et al.. (2022). The diversity of heme sensor systems – heme-responsive transcriptional regulation mediated by transient heme protein interactions. FEMS Microbiology Reviews. 46(3). 13 indexed citations
9.
Frunzke, Julia, et al.. (2022). Antiphage small molecules produced by bacteria – beyond protein-mediated defenses. Trends in Microbiology. 31(1). 92–106. 23 indexed citations
10.
Heermann, Ralf, et al.. (2021). Identification of Gip as a novel phage‐encoded gyrase inhibitor protein of Corynebacterium glutamicum. Molecular Microbiology. 116(5). 1268–1280. 4 indexed citations
11.
Tenhaef, Niklas, et al.. (2021). Automated Rational Strain Construction Based on High-Throughput Conjugation. ACS Synthetic Biology. 10(3). 589–599. 18 indexed citations
12.
Sharma, Vikas, et al.. (2021). Genome Sequence of the Bacteriophage CL31 and Interaction with the Host Strain Corynebacterium glutamicum ATCC 13032. Viruses. 13(3). 495–495. 3 indexed citations
14.
Gätgens, Cornelia, et al.. (2019). Impact of CO 2 /HCO 3 Availability on Anaplerotic Flux in Pyruvate Dehydrogenase Complex-Deficient Corynebacterium glutamicum Strains. Journal of Bacteriology. 201(20). 1 indexed citations
15.
Pfeifer, Eugen, et al.. (2019). Impact of Xenogeneic Silencing on Phage–Host Interactions. Journal of Molecular Biology. 431(23). 4670–4683. 31 indexed citations
16.
Mahr, Regina, et al.. (2016). Screening of an Escherichia coli promoter library for a phenylalanine biosensor. Applied Microbiology and Biotechnology. 100(15). 6739–6753. 42 indexed citations
17.
Unthan, Simon, Meike Baumgart, Andreas Radek, et al.. (2014). Chassis organism from Corynebacterium glutamicum – a top‐down approach to identify and delete irrelevant gene clusters. Biotechnology Journal. 10(2). 290–301. 95 indexed citations
18.
Baumgart, Meike, et al.. (2013). IpsA, a novel LacI-type regulator, is required for inositol-derived lipid formation in Corynebacteria and Mycobacteria. BMC Biology. 11(1). 122–122. 34 indexed citations
19.
Francez‐Charlot, Anne, et al.. (2009). Sigma factor mimicry involved in regulation of general stress response. Proceedings of the National Academy of Sciences. 106(9). 3467–3472. 103 indexed citations
20.
Frunzke, Julia, Verena Engels, Sonja Hasenbein, Cornelia Gätgens, & Michael Bott. (2007). Co‐ordinated regulation of gluconate catabolism and glucose uptake in Corynebacterium glutamicum by two functionally equivalent transcriptional regulators, GntR1 and GntR2. Molecular Microbiology. 67(2). 305–322. 125 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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