Markus Jeschek

1.3k total citations
19 papers, 955 citations indexed

About

Markus Jeschek is a scholar working on Molecular Biology, Organic Chemistry and Genetics. According to data from OpenAlex, Markus Jeschek has authored 19 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Organic Chemistry and 4 papers in Genetics. Recurrent topics in Markus Jeschek's work include RNA and protein synthesis mechanisms (7 papers), Enzyme Catalysis and Immobilization (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Markus Jeschek is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Enzyme Catalysis and Immobilization (6 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). Markus Jeschek collaborates with scholars based in Switzerland, Germany and Austria. Markus Jeschek's co-authors include Sven Panke, Thomas R. Ward, Daniel Gerngross, Tillmann Heinisch, Juliane Klehr, Christian Trindler, Raphael Reuter, Tobias Vornholt, Yi Zhou and Shuke Wu and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Markus Jeschek

17 papers receiving 945 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Jeschek Switzerland	12	711	384	139	102	95	19	955
Ivana Drienovská Netherlands	13	601 0.8×	349 0.9×	54 0.4×	88 0.9×	97 1.0×	23	818
Patrick C. Cirino United States	18	1.0k 1.4×	119 0.3×	234 1.7×	102 1.0×	164 1.7×	28	1.3k
Xiaofei Chen China	18	316 0.4×	306 0.8×	116 0.8×	214 2.1×	54 0.6×	53	823
Maximilian J. L. J. Fürst Netherlands	16	594 0.8×	121 0.3×	140 1.0×	81 0.8×	51 0.5×	25	768
Christian Trindler Switzerland	6	372 0.5×	257 0.7×	62 0.4×	63 0.6×	77 0.8×	8	569
Lur Alonso‐Cotchico Spain	12	309 0.4×	253 0.7×	73 0.5×	68 0.7×	94 1.0×	20	558
Yakov Kipnis United States	12	582 0.8×	86 0.2×	91 0.7×	135 1.3×	29 0.3×	15	733
Douglas A. Hansen United States	17	792 1.1×	307 0.8×	87 0.6×	83 0.8×	53 0.6×	21	1.2k
William R. Birmingham United Kingdom	17	639 0.9×	203 0.5×	269 1.9×	71 0.7×	77 0.8×	25	867

Countries citing papers authored by Markus Jeschek

Since Specialization

Citations

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

Fields of papers citing papers by Markus Jeschek

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Jeschek

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

All Works

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19 of 19 papers shown

Borgwardt, Karsten, et al.. (2025). Data-driven protease engineering by DNA-recording and epistasis-aware machine learning. Nature Communications. 16(1). 5466–5466.

Vornholt, Tobias, Mojmír Mutný, Markus Jeschek, et al.. (2025). Of Revolutions and Roadblocks: The Emerging Role of Machine Learning in Biocatalysis. ACS Central Science. 11(10). 1828–1838. 1 indexed citations

Vornholt, Tobias, Kathrin Castiglione, Tania Michelle Roberts, et al.. (2025). Permeabilisation of the Outer Membrane of Escherichia coli for Enhanced Transport of Complex Molecules. Microbial Biotechnology. 18(3). e70122–e70122.

Jeschek, Markus, et al.. (2025). Computer-assisted multilevel optimization of malonyl-CoA availability in Pseudomonas putida. Metabolic Engineering. 90. 165–177. 2 indexed citations

Vornholt, Tobias, Mojmír Mutný, Gregor W. Schmidt, et al.. (2024). Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning. ACS Central Science. 10(7). 1357–1370. 17 indexed citations

Vornholt, Tobias, Valerio Sabatino, Sven Panke, et al.. (2023). An Artificial Metalloenzyme for Atroposelective Metathesis**. ChemCatChem. 15(23). 2 indexed citations

Jeschek, Markus, et al.. (2023). Ultradeep characterisation of translational sequence determinants refutes rare-codon hypothesis and unveils quadruplet base pairing of initiator tRNA and transcript. Nucleic Acids Research. 51(5). 2377–2396. 10 indexed citations

Jeschek, Markus, et al.. (2023). From sequence to function and back – High-throughput sequence-function mapping in synthetic biology. Current Opinion in Systems Biology. 37. 100499–100499. 5 indexed citations

Vornholt, Tobias, et al.. (2021). Systematic engineering of artificial metalloenzymes for new-to-nature reactions. Science Advances. 7(4). 62 indexed citations

10.

Beisel, Christian, et al.. (2020). Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping. Nature Communications. 11(1). 3551–3551. 47 indexed citations

11.

Vornholt, Tobias & Markus Jeschek. (2020). The Quest for Xenobiotic Enzymes: From New Enzymes for Chemistry to a Novel Chemistry of Life. ChemBioChem. 21(16). 2241–2249. 14 indexed citations

12.

Wu, Shuke, Yi Zhou, Daniel Gerngross, Markus Jeschek, & Thomas R. Ward. (2019). Chemo-enzymatic cascades to produce cycloalkenes from bio-based resources. Nature Communications. 10(1). 5060–5060. 70 indexed citations

13.

Heinisch, Tillmann, Fabian Schwizer, Markus Jeschek, et al.. (2018). E. coli surface display of streptavidin for directed evolution of an allylic deallylase. Chemical Science. 9(24). 5383–5388. 78 indexed citations

14.

Jeschek, Markus, et al.. (2017). Biotin-independent strains of Escherichia coli for enhanced streptavidin production. Metabolic Engineering. 40. 33–40. 28 indexed citations

15.

Jeschek, Markus, Sven Panke, & Thomas R. Ward. (2017). Artificial Metalloenzymes on the Verge of New-to-Nature Metabolism. Trends in biotechnology. 36(1). 60–72. 80 indexed citations

16.

Jeschek, Markus, Daniel Gerngross, & Sven Panke. (2017). Combinatorial pathway optimization for streamlined metabolic engineering. Current Opinion in Biotechnology. 47. 142–151. 70 indexed citations

17.

Jeschek, Markus, Daniel Gerngross, & Sven Panke. (2016). Rationally reduced libraries for combinatorial pathway optimization minimizing experimental effort. Nature Communications. 7(1). 11163–11163. 104 indexed citations

18.

Jeschek, Markus, Raphael Reuter, Tillmann Heinisch, et al.. (2016). Directed evolution of artificial metalloenzymes for in vivo metathesis. Nature. 537(7622). 661–665. 354 indexed citations

19.

Jeschek, Markus, Sven Panke, & Thomas R. Ward. (2016). Periplasmic Screening for Artificial Metalloenzymes. Methods in enzymology on CD-ROM/Methods in enzymology. 580. 539–556. 11 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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