Marco Oldiges

4.8k total citations
128 papers, 3.6k citations indexed

About

Marco Oldiges is a scholar working on Molecular Biology, Biomedical Engineering and Spectroscopy. According to data from OpenAlex, Marco Oldiges has authored 128 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 39 papers in Biomedical Engineering and 12 papers in Spectroscopy. Recurrent topics in Marco Oldiges's work include Microbial Metabolic Engineering and Bioproduction (78 papers), Viral Infectious Diseases and Gene Expression in Insects (41 papers) and Enzyme Catalysis and Immobilization (21 papers). Marco Oldiges is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (78 papers), Viral Infectious Diseases and Gene Expression in Insects (41 papers) and Enzyme Catalysis and Immobilization (21 papers). Marco Oldiges collaborates with scholars based in Germany, Egypt and Belgium. Marco Oldiges's co-authors include Wolfgang Wiechert, Ralf Takors, Bing Luo, Bernhard J. Eikmanns, Bastian Blombach, Christian Wandrey, Stephan Noack, Tobias Bartek, Johannes Hemmerich and Katharina Nöh and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Applied and Environmental Microbiology.

In The Last Decade

Marco Oldiges

120 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marco Oldiges Germany 33 3.0k 1.0k 339 252 225 128 3.6k
Ralf Takors Germany 37 4.0k 1.3× 1.6k 1.6× 453 1.3× 431 1.7× 232 1.0× 181 4.9k
Tanveer S. Batth United States 29 3.2k 1.1× 709 0.7× 689 2.0× 228 0.9× 145 0.6× 41 3.8k
Marjan De Mey Belgium 33 3.0k 1.0× 916 0.9× 155 0.5× 431 1.7× 150 0.7× 94 3.6k
Walter M. van Gulik Netherlands 46 4.9k 1.6× 1.8k 1.7× 659 1.9× 232 0.9× 195 0.9× 118 5.7k
Wouter A. van Winden Netherlands 26 2.1k 0.7× 573 0.6× 323 1.0× 108 0.4× 94 0.4× 37 2.4k
Pascale Daran‐Lapujade Netherlands 38 3.8k 1.3× 962 1.0× 149 0.4× 286 1.1× 116 0.5× 78 4.3k
Cor Ras Netherlands 26 2.2k 0.7× 514 0.5× 509 1.5× 98 0.4× 97 0.4× 37 2.6k
Stephan Noack Germany 30 2.4k 0.8× 1.2k 1.1× 78 0.2× 282 1.1× 188 0.8× 115 3.0k
Tong Si China 27 2.0k 0.7× 684 0.7× 113 0.3× 148 0.6× 124 0.6× 58 2.4k
Elizabeth Kimball United States 8 2.5k 0.8× 306 0.3× 554 1.6× 406 1.6× 279 1.2× 8 3.0k

Countries citing papers authored by Marco Oldiges

Since Specialization
Citations

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

Fields of papers citing papers by Marco Oldiges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Oldiges

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Oldiges. A scholar is included among the top collaborators of Marco Oldiges 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 Marco Oldiges. Marco Oldiges 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.
Wiechert, Wolfgang, et al.. (2024). Optimizing microbioreactor cultivation strategies for Trichoderma reesei: from batch to fed-batch operations. Microbial Cell Factories. 23(1). 2 indexed citations
2.
Reiter, Alexander M., et al.. (2024). Rapid exometabolome footprinting combined with multivariate statistics: A powerful tool for bioprocess optimization. Engineering in Life Sciences. 25(2). 2300222–2300222.
3.
4.
Reiter, Alexander M., et al.. (2024). Automated workflow for characterization of bacteriocin production in natural producers Lactococcus lactis and Latilactobacillus sakei. Microbial Cell Factories. 23(1). 74–74. 3 indexed citations
5.
Osthege, Michael, et al.. (2024). Biosensor-based growth-coupling as an evolutionary strategy to improve heme export in Corynebacterium glutamicum. Microbial Cell Factories. 23(1). 276–276. 2 indexed citations
6.
Wiechert, Wolfgang, et al.. (2023). From frozen cell bank to product assay: high-throughput strain characterisation for autonomous Design-Build-Test-Learn cycles. Microbial Cell Factories. 22(1). 130–130. 6 indexed citations
7.
Möllenhoff, Kathrin, et al.. (2022). Catalytically Active Inclusion Bodies─Benchmarking and Application in Flow Chemistry. ACS Synthetic Biology. 11(5). 1881–1896. 7 indexed citations
8.
Ovchinnikov, Kirill V., Alexander M. Reiter, Marco Oldiges, et al.. (2022). Garvicin Q: characterization of biosynthesis and mode of action. Microbial Cell Factories. 21(1). 236–236. 17 indexed citations
9.
Oldiges, Marco, et al.. (2022). Microfluidic single‐cell scale‐down bioreactors: A proof‐of‐concept for the growth of Corynebacterium glutamicum at oscillating pH values. Biotechnology and Bioengineering. 119(11). 3194–3209. 10 indexed citations
10.
11.
Tsolis, Konstantinos C., Mohamed Belal Hamed, Kenneth Simoens, et al.. (2018). Secretome Dynamics in a Gram-Positive Bacterial Model. Molecular & Cellular Proteomics. 18(3). 423–436. 13 indexed citations
12.
Wiechert, Wolfgang, et al.. (2017). pH fluctuations imperil the robustness of C. glutamicum to short term oxygen limitation. Journal of Biotechnology. 259. 248–260. 13 indexed citations
13.
Wiechert, Wolfgang, et al.. (2016). Automation of a Nile red staining assay enables high throughput quantification of microalgal lipid production. Microbial Cell Factories. 15(1). 34–34. 30 indexed citations
14.
Oldiges, Marco, Bernhard J. Eikmanns, & Bastian Blombach. (2014). Application of metabolic engineering for the biotechnological production of l-valine. Applied Microbiology and Biotechnology. 98(13). 5859–5870. 64 indexed citations
15.
Zimmermann, Katrin, Anna L. Vagstad, Craig A. Townsend, et al.. (2012). Polyketide Proofreading by an Acyltransferase-like Enzyme. Chemistry & Biology. 19(3). 329–339. 47 indexed citations
16.
Noack, Stephan, et al.. (2010). Stationary versus non-stationary 13C-MFA: A comparison using a consistent dataset. Journal of Biotechnology. 154(2-3). 179–190. 51 indexed citations
17.
Magnus, Jørgen Barsett, Marco Oldiges, & Ralf Takors. (2009). The identification of enzyme targets for the optimization of a valine producing Corynebacterium glutamicum strain using a kinetic model. Biotechnology Progress. 25(3). 754–762. 21 indexed citations
18.
Oldiges, Marco, et al.. (2007). Metabolomics: current state and evolving methodologies and tools. Applied Microbiology and Biotechnology. 76(3). 495–511. 171 indexed citations
19.
Wendisch, Volker F., Michael Bott, Jörn Kalinowski, Marco Oldiges, & Wolfgang Wiechert. (2006). Emerging Corynebacterium glutamicum systems biology. Journal of Biotechnology. 124(1). 74–92. 81 indexed citations
20.
Oldiges, Marco & Ralf Takors. (2005). Applying Metabolic Profiling Techniques for Stimulus-Response Experiments: Chances and Pitfalls. Advances in biochemical engineering, biotechnology. 92. 173–196. 44 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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