Daniel Siebert

946 total citations
25 papers, 576 citations indexed

About

Daniel Siebert is a scholar working on Molecular Biology, Biomedical Engineering and Education. According to data from OpenAlex, Daniel Siebert has authored 25 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Biomedical Engineering and 8 papers in Education. Recurrent topics in Daniel Siebert's work include Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers) and Enzyme Catalysis and Immobilization (5 papers). Daniel Siebert is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (11 papers), Biofuel production and bioconversion (7 papers) and Enzyme Catalysis and Immobilization (5 papers). Daniel Siebert collaborates with scholars based in Germany, United States and Russia. Daniel Siebert's co-authors include Roni Jo Draper, Joanne Lobato, Volker F. Wendisch, Bastian Blombach, Jörn Kalinowski, Christian Rückert, Bernhard J. Eikmanns, Wolfgang Wiechert, Kendra M. Hall and Leigh K. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, Industrial & Engineering Chemistry Research and American Educational Research Journal.

In The Last Decade

Daniel Siebert

24 papers receiving 526 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 Siebert Germany 12 260 219 129 94 71 25 576
Marc H. W. van Mil Netherlands 8 101 0.4× 124 0.6× 99 0.8× 72 0.8× 3 0.0× 18 368
Sharyn K. Freyermuth United States 10 100 0.4× 118 0.5× 40 0.3× 72 0.8× 2 0.0× 19 440
Ian J. Turner United Kingdom 9 74 0.3× 55 0.3× 22 0.2× 23 0.2× 1 0.0× 38 345
Patrick Enderle United States 13 67 0.3× 477 2.2× 5 0.0× 289 3.1× 5 0.1× 28 641
Lisa McDonnell United States 11 157 0.6× 76 0.3× 72 0.6× 27 0.3× 3 0.0× 25 506
James H. Mathewson United States 8 76 0.3× 153 0.7× 20 0.2× 70 0.7× 4 0.1× 10 427
Mark Bloom United States 7 24 0.1× 92 0.4× 12 0.1× 69 0.7× 13 0.2× 22 368
Inge Johansson Sweden 13 38 0.1× 155 0.7× 12 0.1× 31 0.3× 2 0.0× 54 399
Shih‐Chi Hsu Taiwan 13 220 0.8× 18 0.1× 64 0.5× 7 0.1× 8 0.1× 19 405
Rebecca West Burns United States 11 41 0.2× 343 1.6× 19 0.1× 52 0.6× 1 0.0× 48 484

Countries citing papers authored by Daniel Siebert

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Siebert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Siebert

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Siebert. A scholar is included among the top collaborators of Daniel Siebert 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 Siebert. Daniel Siebert 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.
2.
Siebert, Daniel, et al.. (2024). A genome-reduced Corynebacterium glutamicum derivative discloses a hidden pathway relevant for 1,2-propanediol production. Microbial Cell Factories. 23(1). 62–62. 1 indexed citations
3.
Siebert, Daniel, Christian Rückert, Jörn Kalinowski, et al.. (2023). Metabolic engineering of Corynebacterium glutamicum for fatty alcohol production from glucose and wheat straw hydrolysate. SHILAP Revista de lepidopterología. 16(1). 116–116. 10 indexed citations
4.
Hausmann, Rudolf, et al.. (2022). Metabolic engineering of Corynebacterium glutamicum for acetate-based itaconic acid production. SHILAP Revista de lepidopterología. 15(1). 139–139. 11 indexed citations
5.
Siebert, Daniel & Bastian Blombach. (2022). Carboxydotrophe Knallgasbakterien zur aeroben Nutzung von CO, CO2 und H2. BIOspektrum. 28(5). 553–555. 1 indexed citations
6.
Bharti, Richa, Daniel Siebert, Bastian Blombach, & Dominik G. Grimm. (2022). Systematic analysis of the underlying genomic architecture for transcriptional–translational coupling in prokaryotes. NAR Genomics and Bioinformatics. 4(3). lqac074–lqac074. 1 indexed citations
7.
Siebert, Daniel, Bernhard J. Eikmanns, & Bastian Blombach. (2021). Exploiting Aerobic Carboxydotrophic Bacteria for Industrial Biotechnology. Advances in biochemical engineering, biotechnology. 180. 1–32. 7 indexed citations
8.
Hemmerich, Johannes, Mohamed E. Labib, Meike Baumgart, et al.. (2020). Screening of a genome‐reduced Corynebacterium glutamicum strain library for improved heterologous cutinase secretion. Microbial Biotechnology. 13(6). 2020–2031. 23 indexed citations
9.
Siebert, Daniel, et al.. (2020). Genetic Engineering of Oligotropha carboxidovorans Strain OM5—A Promising Candidate for the Aerobic Utilization of Synthesis Gas. ACS Synthetic Biology. 9(6). 1426–1440. 15 indexed citations
10.
Rückert, Christian, Bernd A. Nebel, Daniel Siebert, et al.. (2019). Exploiting Hydrogenophaga pseudoflava for aerobic syngas-based production of chemicals. Metabolic Engineering. 55. 220–230. 35 indexed citations
11.
Schmidt, Annemarie, Gunnar Sturm, Daniel Siebert, et al.. (2018). Development of a production chain from vegetable biowaste to platform chemicals. Microbial Cell Factories. 17(1). 90–90. 11 indexed citations
12.
Baumgart, Meike, Simon Unthan, Andreas Radek, et al.. (2016). Chassis organism from Corynebacterium glutamicum – Genome reduction as a tool toward improved strains for synthetic biology and industrial biotechnology. New Biotechnology. 33. S25–S25. 1 indexed citations
13.
Siebert, Daniel & Volker F. Wendisch. (2015). Metabolic pathway engineering for production of 1,2-propanediol and 1-propanol by Corynebacterium glutamicum. Biotechnology for Biofuels. 8(1). 91–91. 73 indexed citations
14.
Bösmann, Andreas, Daniel Siebert, J. Völkl, et al.. (2015). CO2 as a Viscosity Index Improver for Wind Turbine Oils. Industrial & Engineering Chemistry Research. 54(21). 5810–5819. 5 indexed citations
15.
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
16.
Siebert, Daniel & Roni Jo Draper. (2008). Why Content-Area Literacy Messages Do Not Speak to Mathematics Teachers: A Critical Content Analysis∗. Literacy Research and Instruction. 47(4). 229–245. 63 indexed citations
17.
Siebert, Daniel, et al.. (2006). Creating, Naming, and Justifying Fractions.. Teaching Children Mathematics. 12(8). 394–400. 25 indexed citations
18.
Draper, Roni Jo, Leigh K. Smith, Kendra M. Hall, & Daniel Siebert. (2005). What's More Important—Literacy or Content? Confronting the Literacy-Content Dualism. Action in Teacher Education. 27(2). 12–21. 29 indexed citations
19.
Siebert, Daniel, et al.. (2004). Addressing Parents' Concerns about Mathematics Reform. Teaching Children Mathematics. 11(1). 18–23. 4 indexed citations
20.
Lobato, Joanne & Daniel Siebert. (2002). Quantitative reasoning in a reconceived view of transfer. The Journal of Mathematical Behavior. 21(1). 87–116. 97 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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