Maika Genz

598 total citations
13 papers, 505 citations indexed

About

Maika Genz is a scholar working on Molecular Biology, Biochemistry and Materials Chemistry. According to data from OpenAlex, Maika Genz has authored 13 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Biochemistry and 3 papers in Materials Chemistry. Recurrent topics in Maika Genz's work include Enzyme Catalysis and Immobilization (7 papers), Chemical Synthesis and Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Maika Genz is often cited by papers focused on Enzyme Catalysis and Immobilization (7 papers), Chemical Synthesis and Analysis (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Maika Genz collaborates with scholars based in Germany, Switzerland and Netherlands. Maika Genz's co-authors include Uwe T. Bornscheuer, Sandy Schmidt, Ιoannis V. Pavlidis, Hans Iding, Steven P. Hanlon, Paul Spurr, Martin S. Weiß, Beat Wirz, Kathleen Balke and Henk‐Jan Joosten and has published in prestigious journals such as ACS Catalysis, International Journal of Molecular Sciences and Nature Chemistry.

In The Last Decade

Maika Genz

12 papers receiving 503 citations

Peers

Maika Genz

Kirsty Smithies United Kingdom

Stefan Mix United Kingdom

Nicholas B. Woodall United States

Joan Citoler United Kingdom

Valentina Jurkaš Austria

Mark Doerr Germany

Amol D. Pagar South Korea

Kathleen Balke Germany

Daniela Quaglia Canada

Horst Lechner Austria

Kirsty Smithies United Kingdom

Maika Genz

380 ×0.8

206 ×1.3

60 ×0.6

51 ×0.8

40 ×0.8

Citations per year, relative to Maika Genz Maika Genz (= 1×) peers Kirsty Smithies

Countries citing papers authored by Maika Genz

Since Specialization

Citations

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

Fields of papers citing papers by Maika Genz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maika Genz

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

All Works

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13 of 13 papers shown

Voß, Moritz, Maika Genz, Anurag Kumar, et al.. (2018). In Silico Based Engineering Approach to Improve Transaminases for the Conversion of Bulky Substrates. ACS Catalysis. 8(12). 11524–11533. 38 indexed citations

Schwarte, Andreas, Maika Genz, Lilly Skalden, et al.. (2017). NewProt – a protein engineering portal. Protein Engineering Design and Selection. 30(6). 441–447. 9 indexed citations

Pavlidis, Ιoannis V., Martin S. Weiß, Maika Genz, et al.. (2016). Identification of (S)-selective transaminases for the asymmetric synthesis of bulky chiral amines. Nature Chemistry. 8(11). 1076–1082. 202 indexed citations

Knight, Anders M., Alberto Nobili, Tom van den Bergh, et al.. (2016). Bioinformatic analysis of fold-type III PLP-dependent enzymes discovers multimeric racemases. Applied Microbiology and Biotechnology. 101(4). 1499–1507. 3 indexed citations

Beier, Andy, Maika Genz, Sandy Schmidt, et al.. (2016). Switch in Cofactor Specificity of a Baeyer–Villiger Monooxygenase. ChemBioChem. 17(24). 2312–2315. 43 indexed citations

Genz, Maika, Sandy Schmidt, Clare Vickers, et al.. (2016). Engineering the Amine Transaminase from Vibrio fluvialis towards Branched‐Chain Substrates. ChemCatChem. 8(20). 3199–3202. 47 indexed citations

Schmidt, Sandy, Maika Genz, Kathleen Balke, & Uwe T. Bornscheuer. (2015). The effect of disulfide bond introduction and related Cys/Ser mutations on the stability of a cyclohexanone monooxygenase. Journal of Biotechnology. 214. 199–211. 48 indexed citations

Balke, Kathleen, Sandy Schmidt, Maika Genz, & Uwe T. Bornscheuer. (2015). Switching the Regioselectivity of a Cyclohexanone Monooxygenase toward (+)-trans-Dihydrocarvone by Rational Protein Design. ACS Chemical Biology. 11(1). 38–43. 46 indexed citations

Genz, Maika, Clare Vickers, Tom van den Bergh, et al.. (2015). Alteration of the Donor/Acceptor Spectrum of the (S)-Amine Transaminase from Vibrio fluvialis. International Journal of Molecular Sciences. 16(11). 26953–26963. 31 indexed citations

10.

Genz, Maika & Norbert Sträter. (2014). Posttranslational Incorporation of Noncanonical Amino Acids in the RNase S System by Semisynthetic Protein Assembly. Methods in molecular biology. 1216. 71–87.

11.

Genz, Maika, Valentin Köhler, David Singer, et al.. (2014). An Artificial Imine Reductase based on the Ribonuclease S Scaffold. ChemCatChem. 6(3). 736–740. 20 indexed citations

12.

Genz, Maika, David Singer, Evamarie Hey‐Hawkins, Ralf Hoffmann, & Norbert Sträter. (2013). Crystal Structure of Apo‐ and Metalated Thiolate containing RNase S as Structural Basis for the Design of Artificial Metalloenzymes by Peptide‐Protein Complementation. Zeitschrift für anorganische und allgemeine Chemie. 639(14). 2395–2400. 3 indexed citations

13.

Singer, David, et al.. (2010). Synthesis of pathological and nonpathological human exon 1 huntingtin. Journal of Peptide Science. 16(7). 358–363. 15 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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