Daniel C. Volke

1.8k total citations
37 papers, 1.2k citations indexed

About

Daniel C. Volke is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Daniel C. Volke has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Ecology. Recurrent topics in Daniel C. Volke's work include Microbial Metabolic Engineering and Bioproduction (13 papers), Bacterial Genetics and Biotechnology (13 papers) and CRISPR and Genetic Engineering (8 papers). Daniel C. Volke is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (13 papers), Bacterial Genetics and Biotechnology (13 papers) and CRISPR and Genetic Engineering (8 papers). Daniel C. Volke collaborates with scholars based in Denmark, Germany and United States. Daniel C. Volke's co-authors include Pablo I. Nikel, Michael Kohlstedt, Christoph Wittmann, Patricia Calero, Ekaterina Kozaeva, Nicolas T. Wirth, Enrico Orsi, Johann M. Rohwer, Stefan Jennewein and Rainer Fischer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Biotechnology.

In The Last Decade

Daniel C. Volke

35 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel C. Volke Denmark 18 923 250 236 115 111 37 1.2k
Sammy Pontrelli United States 12 790 0.9× 416 1.7× 117 0.5× 137 1.2× 54 0.5× 20 1.1k
Sung Sun Yim South Korea 20 1.1k 1.2× 334 1.3× 177 0.8× 97 0.8× 109 1.0× 35 1.3k
Trygve Brautaset Norway 22 1.1k 1.2× 332 1.3× 191 0.8× 122 1.1× 85 0.8× 36 1.4k
Jee Loon Foo Singapore 20 1.0k 1.1× 249 1.0× 116 0.5× 63 0.5× 107 1.0× 39 1.3k
Swapnil R. Chhabra United States 18 1.0k 1.1× 627 2.5× 140 0.6× 125 1.1× 165 1.5× 24 1.5k
Pengfei Gu China 17 661 0.7× 212 0.8× 103 0.4× 70 0.6× 52 0.5× 58 874
Jan Wery Netherlands 22 983 1.1× 517 2.1× 162 0.7× 86 0.7× 195 1.8× 29 1.2k
Abel Ferrández Spain 12 878 1.0× 166 0.7× 313 1.3× 110 1.0× 95 0.9× 12 1.2k
Xuguo Duan China 21 800 0.9× 311 1.2× 202 0.9× 104 0.9× 183 1.6× 50 1.3k

Countries citing papers authored by Daniel C. Volke

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Volke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Volke. 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 Daniel C. Volke. The network helps show where Daniel C. Volke may publish in the future.

Co-authorship network of co-authors of Daniel C. Volke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Volke. A scholar is included among the top collaborators of Daniel C. Volke 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 Daniel C. Volke. Daniel C. Volke 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.
Volke, Daniel C., et al.. (2025). Engineering a phi15-based expression system for stringent gene expression in Pseudomonas putida. Communications Biology. 8(1). 171–171. 5 indexed citations
2.
Bushin, Leah B., Daniel C. Volke, Tae‐Hwan Kim, et al.. (2025). Growth-coupled microbial biosynthesis of the animal pigment xanthommatin. Nature Biotechnology.
4.
Orsi, Enrico, Aleksander J. Kruis, Daniel C. Volke, et al.. (2024). Harnessing noncanonical redox cofactors to advance synthetic assimilation of one-carbon feedstocks. Current Opinion in Biotechnology. 90. 103195–103195. 7 indexed citations
5.
Bååth, Jenny Arnling, Peter Westh, Kenneth Jensen, et al.. (2024). A versatile microbial platform as a tunable whole-cell chemical sensor. Nature Communications. 15(1). 8316–8316. 16 indexed citations
6.
Volke, Daniel C., et al.. (2023). Time-resolved, deuterium-based fluxomics uncovers the hierarchy and dynamics of sugar processing by Pseudomonas putida. Metabolic Engineering. 79. 159–172. 14 indexed citations
7.
Volke, Daniel C., et al.. (2023). Automating the design-build-test-learn cycle towards next-generation bacterial cell factories. New Biotechnology. 74. 1–15. 51 indexed citations
8.
Volke, Daniel C., Enrico Orsi, & Pablo I. Nikel. (2023). Emergent CRISPR–Cas-based technologies for engineering non-model bacteria. Current Opinion in Microbiology. 75. 102353–102353. 45 indexed citations
9.
Luo, Jin, Elena Efimova, Daniel C. Volke, Ville Santala, & Suvi Santala. (2022). Engineering cell morphology by CRISPR interference in Acinetobacter baylyi ADP1. Microbial Biotechnology. 15(11). 2800–2818. 11 indexed citations
10.
Volke, Daniel C., et al.. (2022). Modular (de)construction of complex bacterial phenotypes by CRISPR/nCas9-assisted, multiplex cytidine base-editing. Nature Communications. 13(1). 3026–3026. 65 indexed citations
11.
Volke, Daniel C., et al.. (2022). Emerging approaches for biocatalysis supporting a sustainable future: Enzymes wanted, dead or alive. Chem Catalysis. 2(10). 2400–2402. 3 indexed citations
12.
Nölke, Greta, Daniel C. Volke, K. Chengalrayan, et al.. (2021). Impact of nicotine pathway downregulation on polyamine biosynthesis and leaf ripening in tobacco. Plant Direct. 5(5). e00329–e00329. 8 indexed citations
13.
Volke, Daniel C., Nicolas T. Wirth, & Pablo I. Nikel. (2021). Rapid Genome Engineering of Pseudomonas Assisted by Fluorescent Markers and Tractable Curing of Plasmids. BIO-PROTOCOL. 11(4). e3917–e3917. 15 indexed citations
14.
Mitra, Sirsha, Roger Estrada‐Tejedor, Daniel C. Volke, et al.. (2021). Negative regulation of plastidial isoprenoid pathway by herbivore-induced β-cyclocitral in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 118(10). 42 indexed citations
15.
Kohlstedt, Michael, et al.. (2020). Industrial biotechnology of Pseudomonas putida: advances and prospects. Applied Microbiology and Biotechnology. 104(18). 7745–7766. 189 indexed citations
16.
Volke, Daniel C., et al.. (2020). Synthetic control of plasmid replication enables target- and self-curing of vectors and expedites genome engineering of Pseudomonas putida. Metabolic Engineering Communications. 10. e00126–e00126. 66 indexed citations
17.
Calero, Patricia, Daniel C. Volke, Phillip T. Lowe, et al.. (2020). A fluoride-responsive genetic circuit enables in vivo biofluorination in engineered Pseudomonas putida. Nature Communications. 11(1). 5045–5045. 70 indexed citations
18.
Volke, Daniel C., Patricia Calero, & Pablo I. Nikel. (2020). Pseudomonas putida. Trends in Microbiology. 28(6). 512–513. 55 indexed citations
19.
Arce‐Rodríguez, Alejandro, et al.. (2019). Non‐invasive, ratiometric determination of intracellular pH in Pseudomonas species using a novel genetically encoded indicator. Microbial Biotechnology. 12(4). 799–813. 24 indexed citations
20.
Volke, Daniel C., Johann M. Rohwer, Rainer Fischer, & Stefan Jennewein. (2019). Investigation of the methylerythritol 4-phosphate pathway for microbial terpenoid production through metabolic control analysis. Microbial Cell Factories. 18(1). 192–192. 59 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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