Daniel C. Volke

1.8k citations
37 papers · 1.2k · h-index 18

Impact in

    • Microbial Metabolic Engineering and Bioproduction
    • CRISPR and Genetic Engineering
    • Enzyme Catalysis and Immobilization
    • RNA and protein synthesis mechanisms
    • Plant biochemistry and biosynthesis
  • Genetics top 10%
    • Bacterial Genetics and Biotechnology

Papers in

    • Microbial Metabolic Engineering and Bioproduction 13
    • CRISPR and Genetic Engineering 8
    • Bacterial biofilms and quorum sensing 5
    • Enzyme Catalysis and Immobilization 4
    • Bacterial Genetics and Biotechnology 13

Daniel C. Volke

35 papers receiving 1.2k citations

Peers

Daniel C. Volke
Comparison fields: 5 of 96
  • Molecular Biology 923
  • Genetics 236
  • Business and International Management 16
  • Biotechnology 70
  • Endocrinology 38
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Daniel C. Volke relative to Ya‐Jie Tang China Ya‐Jie Tang's profile →
Citations per field
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Ya‐Jie Tang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel C. Volke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel C. Volke Line = papers co-authored together Daniel C. Volke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020189
2 202070
3 202066
4 202265
5 201959
6 202156
7 202056
8 202055
9 201954
10 201853
11 202351
12 202345
13 202244
14 202142
15 202238
16 202130
17 201924
18 202224
19 202416
20 202115

About Daniel C. Volke

Daniel C. Volke is a scholar working on Molecular Biology, Genetics, Ecology, Biomedical Engineering and Pollution, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Microbial Metabolic Engineering and Bioproduction (13 papers), CRISPR and Genetic Engineering (8 papers), Bacteriophages and microbial interactions (6 papers), Bacterial biofilms and quorum sensing (5 papers), Enzyme Catalysis and Immobilization (4 papers), Microbial Community Ecology and Physiology (4 papers) and Microbial bioremediation and biosurfactants (3 papers). The work is most often cited by research in Molecular Biology (923 citations), Genetics (236 citations), Business and International Management (16 citations), Biotechnology (70 citations) and Endocrinology (38 citations). Daniel C. Volke has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Pablo I. Nikel, Michael Kohlstedt, Christoph Wittmann, Patricia Calero, Ekaterina Kozaeva, Nicolas T. Wirth, Enrico Orsi, Stefan Jennewein, Johann M. Rohwer and Rainer Fischer. Their work appears in journals such as Microbial Biotechnology, Metabolic Engineering, Nature Communications, Plant Direct and Chem Catalysis.

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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