Marko Storch

2.6k total citations · 1 hit paper
33 papers, 1.3k citations indexed

About

Marko Storch is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, Marko Storch has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Cell Biology. Recurrent topics in Marko Storch's work include CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (10 papers) and Bacterial Genetics and Biotechnology (8 papers). Marko Storch is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), RNA and protein synthesis mechanisms (10 papers) and Bacterial Genetics and Biotechnology (8 papers). Marko Storch collaborates with scholars based in United Kingdom, United States and Germany. Marko Storch's co-authors include Geoff Baldwin, Tom Ellis, Arturo Casini, Paul S. Freemont, Jonathon Howard, Michel Bornens, Ammar Azioune, Manuel Théry, Matthieu Piel and Maxim G. Ryadnov and has published in prestigious journals such as Nucleic Acids Research, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Marko Storch

31 papers receiving 1.3k citations

Hit Papers

DNA synthesis technologies to close the gene writing gap 2023 2026 2024 2025 2023 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Storch United Kingdom 17 901 365 258 142 88 33 1.3k
Matthew J. Bick United States 17 1.2k 1.3× 238 0.7× 115 0.4× 127 0.9× 88 1.0× 22 1.7k
Scott M. Coyle United States 13 1.3k 1.4× 158 0.4× 260 1.0× 206 1.5× 146 1.7× 22 1.6k
Andrew Lee United States 19 1.4k 1.6× 167 0.5× 273 1.1× 217 1.5× 127 1.4× 28 2.0k
Clément Nizak France 16 803 0.9× 316 0.9× 249 1.0× 66 0.5× 25 0.3× 24 1.3k
Satoru Nogami Japan 20 924 1.0× 241 0.7× 85 0.3× 119 0.8× 181 2.1× 54 1.3k
Kerry R. Love United States 23 1.4k 1.5× 148 0.4× 239 0.9× 111 0.8× 59 0.7× 48 1.6k
Daniel J.‐F. Chinnapen United States 19 1.0k 1.1× 370 1.0× 121 0.5× 87 0.6× 39 0.4× 25 1.5k
Rosemary Williams United States 14 2.4k 2.7× 405 1.1× 81 0.3× 133 0.9× 108 1.2× 18 2.7k
Zhifeng Shao China 22 1.2k 1.3× 112 0.3× 339 1.3× 81 0.6× 95 1.1× 59 1.8k
Linda Sandblad Sweden 20 986 1.1× 654 1.8× 62 0.2× 107 0.8× 109 1.2× 41 1.4k

Countries citing papers authored by Marko Storch

Since Specialization
Citations

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

Fields of papers citing papers by Marko Storch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Storch

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Storch. A scholar is included among the top collaborators of Marko Storch 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 Marko Storch. Marko Storch 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.
Kim, Haseong, Nathan J. Hillson, Byung‐Kwan Cho, et al.. (2025). Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications. Nature Communications. 16(1). 6056–6056.
2.
Terrones, Gianmarco, B. Adinarayana, Thomas E. Maher, et al.. (2024). A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes. Angewandte Chemie. 136(18). 2 indexed citations
3.
Terrones, Gianmarco, B. Adinarayana, Thomas E. Maher, et al.. (2024). A Semi‐Automated, High‐Throughput Approach for the Synthesis and Identification of Highly Photo‐Cytotoxic Iridium Complexes. Angewandte Chemie International Edition. 63(18). e202401808–e202401808. 19 indexed citations
4.
Storch, Marko, et al.. (2023). DNA synthesis technologies to close the gene writing gap. Nature Reviews Chemistry. 7(3). 144–161. 153 indexed citations breakdown →
5.
Marshall, James, et al.. (2022). basicsynbio and the BASIC SEVA collection: software and vectors for an established DNA assembly method. PubMed. 7(1). ysac023–ysac023. 6 indexed citations
6.
Lawrence, Joshua M., Paolo Bombelli, Marko Storch, et al.. (2022). Synthetic biology and bioelectrochemical tools for electrogenetic system engineering. Science Advances. 8(18). eabm5091–eabm5091. 28 indexed citations
7.
Storch, Marko, Fábio K. Tamaki, Natalie Wiedemar, et al.. (2022). CRISPR-based oligo recombineering prioritizes apicomplexan cysteines for drug discovery. Nature Microbiology. 7(11). 1891–1905. 14 indexed citations
8.
Storch, Marko, et al.. (2021). A modular RNA interference system for multiplexed gene regulation. Nucleic Acids Research. 50(3). 1783–1793. 9 indexed citations
9.
Rowan, Aileen, Philippa C. May, Anjna Badhan, et al.. (2021). Optimized protocol for a quantitative SARS-CoV-2 duplex RT-qPCR assay with internal human sample sufficiency control. Journal of Virological Methods. 294. 114174–114174. 8 indexed citations
10.
Coolen, Jordy P. M., Femke Wolters, Alma Tostmann, et al.. (2021). SARS-CoV-2 whole-genome sequencing using reverse complement PCR: For easy, fast and accurate outbreak and variant analysis.. Journal of Clinical Virology. 144. 104993–104993. 13 indexed citations
11.
Han, Ping, Maybelle Kho Go, Jeng Yeong Chow, et al.. (2021). A high-throughput pipeline for scalable kit-free RNA extraction. Scientific Reports. 11(1). 23260–23260. 3 indexed citations
12.
Storch, Marko, et al.. (2020). DNA-BOT: a low-cost, automated DNA assembly platform for synthetic biology. PubMed. 5(1). ysaa010–ysaa010. 48 indexed citations
13.
Crone, Michael A., Marta Ciechonska, Kirsten Jensen, et al.. (2020). A role for Biofoundries in rapid development and validation of automated SARS-CoV-2 clinical diagnostics. Nature Communications. 11(1). 4464–4464. 62 indexed citations
14.
Young, Rosanna, et al.. (2020). Combinatorial metabolic pathway assembly approaches and toolkits for modular assembly. Metabolic Engineering. 63. 81–101. 33 indexed citations
15.
Galizi, Roberto, et al.. (2020). Engineered RNA-Interacting CRISPR Guide RNAs for Genetic Sensing and Diagnostics. The CRISPR Journal. 3(5). 398–408. 16 indexed citations
16.
17.
Gomes‐da‐Silva, Lígia C., Ana Joaquina Jiménez, Allan Sauvat, et al.. (2018). Recruitment of LC3 to damaged Golgi apparatus. Cell Death and Differentiation. 26(8). 1467–1484. 21 indexed citations
18.
Storch, Marko, et al.. (2016). BASIC: A Simple and Accurate Modular DNA Assembly Method. Methods in molecular biology. 1472. 79–91. 13 indexed citations
19.
Casini, Arturo, Marko Storch, Geoff Baldwin, & Tom Ellis. (2015). Bricks and blueprints: methods and standards for DNA assembly. Nature Reviews Molecular Cell Biology. 16(9). 568–576. 199 indexed citations
20.
Azioune, Ammar, Marko Storch, Michel Bornens, Manuel Théry, & Matthieu Piel. (2009). Simple and rapid process for single cell micro-patterning. Lab on a Chip. 9(11). 1640–1640. 197 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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