Daniel Gerngross

459 total citations
9 papers, 337 citations indexed

About

Daniel Gerngross is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Daniel Gerngross has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Ecology and 2 papers in Genetics. Recurrent topics in Daniel Gerngross's work include Microbial Metabolic Engineering and Bioproduction (6 papers), Enzyme Catalysis and Immobilization (4 papers) and RNA and protein synthesis mechanisms (3 papers). Daniel Gerngross is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (6 papers), Enzyme Catalysis and Immobilization (4 papers) and RNA and protein synthesis mechanisms (3 papers). Daniel Gerngross collaborates with scholars based in Switzerland, Germany and Denmark. Daniel Gerngross's co-authors include Sven Panke, Markus Jeschek, Shuke Wu, Thomas R. Ward, Yi Zhou, Tania Michelle Roberts, Sabine Oesterle, Steven Schmitt, Hemanshu Mundhada and Alex Toftgaard Nielsen and has published in prestigious journals such as Nature Communications, Scientific Reports and Current Opinion in Biotechnology.

In The Last Decade

Daniel Gerngross

8 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Gerngross Switzerland	7	296	74	45	33	32	9	337
Anita Emmerstorfer‐Augustin Austria	13	418 1.4×	87 1.2×	29 0.6×	27 0.8×	50 1.6×	28	503
Lorena Fernández‐Cabezón Spain	10	394 1.3×	45 0.6×	48 1.1×	11 0.3×	21 0.7×	11	428
Andy Beier Germany	9	306 1.0×	88 1.2×	39 0.9×	35 1.1×	9 0.3×	11	396
Yongzhi He China	10	251 0.8×	58 0.8×	29 0.6×	26 0.8×	48 1.5×	14	334
Seokjung Cheong United States	8	327 1.1×	95 1.3×	13 0.3×	29 0.9×	69 2.2×	12	395
Jacquelyn M. Blake-Hedges United States	10	306 1.0×	80 1.1×	47 1.0×	19 0.6×	108 3.4×	12	382
Jacob E. Vick United States	8	334 1.1×	110 1.5×	32 0.7×	17 0.5×	26 0.8×	9	395
Eric Shiue United States	4	343 1.2×	152 2.1×	20 0.4×	17 0.5×	24 0.8×	5	369
Shuai Qian United States	10	554 1.9×	128 1.7×	54 1.2×	20 0.6×	107 3.3×	14	615
Jasleen Kaur Bains Germany	10	171 0.6×	28 0.4×	32 0.7×	14 0.4×	19 0.6×	18	244

Countries citing papers authored by Daniel Gerngross

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Gerngross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Gerngross

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

All Works

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9 of 9 papers shown

Gerngross, Daniel, et al.. (2024). Heterologous protein exposure and secretion optimization in Mycoplasma pneumoniae. Microbial Cell Factories. 23(1). 306–306. 2 indexed citations

Zou, Zhi, et al.. (2024). Publisher Correction: Combining an artificial metathase with a fatty acid decarboxylase in a whole cell for cycloalkene synthesis. Nature Synthesis. 3(9). 1184–1184.

Zou, Zhi, et al.. (2024). Combining an artificial metathase with a fatty acid decarboxylase in a whole cell for cycloalkene synthesis. Nature Synthesis. 3(9). 1113–1123. 9 indexed citations

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

Mundhada, Hemanshu, et al.. (2019). Industrializing a Bacterial Strain for l-Serine Production through Translation Initiation Optimization. ACS Synthetic Biology. 8(10). 2347–2358. 21 indexed citations

Oesterle, Sabine, Daniel Gerngross, Steven Schmitt, Tania Michelle Roberts, & Sven Panke. (2017). Efficient engineering of chromosomal ribosome binding site libraries in mismatch repair proficient Escherichia coli. Scientific Reports. 7(1). 12327–12327. 26 indexed citations

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

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

Gerngross, Daniel, et al.. (2016). Synthetic Biology for Cell-Free Biosynthesis: Fundamentals of Designing Novel In Vitro Multi-Enzyme Reaction Networks. Advances in biochemical engineering, biotechnology. 162. 117–146. 35 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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