Darren Platt

5.4k total citations · 2 hit papers
22 papers, 2.2k citations indexed

About

Darren Platt is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Darren Platt has authored 22 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Artificial Intelligence and 5 papers in Genetics. Recurrent topics in Darren Platt's work include RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (5 papers). Darren Platt is often cited by papers focused on RNA and protein synthesis mechanisms (9 papers), Genomics and Phylogenetic Studies (7 papers) and CRISPR and Genetic Engineering (5 papers). Darren Platt collaborates with scholars based in United States, Australia and Poland. Darren Platt's co-authors include Yann Marcy, Tina Lösekann, Natalia Ivanova, Héctor García Martín, Elisabeth M. Bik, Cleber Ouverney, David A. Relman, Philip Hugenholtz, Stephen R. Quake and Ernest Szeto and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genes & Development.

In The Last Decade

Darren Platt

19 papers receiving 2.2k citations

Hit Papers

Regulation of DAF-2 receptor signaling by human insulin a... 2001 2026 2009 2017 2001 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darren Platt United States 12 1.4k 402 383 357 252 22 2.2k
Asako Sugimoto Japan 30 2.6k 1.8× 1.1k 2.7× 522 1.4× 187 0.5× 82 0.3× 72 3.9k
Siegfried Schloissnig Germany 12 1.3k 0.9× 218 0.5× 253 0.7× 223 0.6× 24 0.1× 14 1.8k
Philip M. Kelley United States 29 2.5k 1.8× 59 0.1× 326 0.9× 213 0.6× 39 0.2× 55 3.7k
Patrick T. McGrath United States 22 1.1k 0.7× 650 1.6× 998 2.6× 498 1.4× 63 0.3× 42 2.1k
Harold E. Smith United States 24 1.7k 1.2× 786 2.0× 520 1.4× 86 0.2× 104 0.4× 61 2.4k
Lewis Stevens United Kingdom 25 966 0.7× 271 0.7× 291 0.8× 248 0.7× 54 0.2× 83 1.9k
Tomoaki Mizuno Japan 20 1.3k 0.9× 368 0.9× 302 0.8× 124 0.3× 39 0.2× 45 2.0k
Igor Antoshechkin United States 29 1.8k 1.3× 404 1.0× 310 0.8× 325 0.9× 52 0.2× 50 2.9k
Sarah E. Hall United States 27 1.1k 0.8× 211 0.5× 417 1.1× 68 0.2× 61 0.2× 45 2.8k
Zhuo Du China 21 1.1k 0.8× 338 0.8× 285 0.7× 57 0.2× 119 0.5× 61 1.8k

Countries citing papers authored by Darren Platt

Since Specialization
Citations

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

Fields of papers citing papers by Darren Platt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Platt

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Platt. A scholar is included among the top collaborators of Darren Platt 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 Darren Platt. Darren Platt 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.
Walter, Jessica M., Max G. Schubert, Stephanie H. Kung, et al.. (2019). Method for Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas9. Methods in molecular biology. 2049. 39–72. 1 indexed citations
2.
Jiang, Hanxiao, Andrew A. Horwitz, Anna Tai, et al.. (2019). Challenging the workhorse: Comparative analysis of eukaryotic micro‐organisms for expressing monoclonal antibodies. Biotechnology and Bioengineering. 116(6). 1449–1462. 23 indexed citations
3.
Platt, Darren, et al.. (2018). Engineering Genomes with Genotype Specification Language. Methods in molecular biology. 1772. 373–398. 1 indexed citations
4.
Sagawa, Shiori, Max G. Schubert, M.G. Bissell, et al.. (2016). Genotype Specification Language. ACS Synthetic Biology. 5(6). 471–478. 11 indexed citations
5.
Horwitz, Andrew A., Jessica M. Walter, Max G. Schubert, et al.. (2015). Efficient Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas. Cell Systems. 1(1). 88–96. 237 indexed citations
6.
Shapland, Elaine B., Victor F. Holmes, Christopher D. Reeves, et al.. (2015). Low-Cost, High-Throughput Sequencing of DNA Assemblies Using a Highly Multiplexed Nextera Process. ACS Synthetic Biology. 4(7). 860–866. 42 indexed citations
7.
Kok, Stefan de, Maxime Durot, Victor F. Holmes, et al.. (2014). Rapid and Reliable DNA Assembly via Ligase Cycling Reaction. ACS Synthetic Biology. 3(2). 97–106. 184 indexed citations
8.
Nijkamp, Jurgen F., Marcel van den Broek, Erwin Datema, et al.. (2012). De novo sequencing, assembly and analysis of the genome of the laboratory strain Saccharomyces cerevisiae CEN.PK113-7D, a model for modern industrial biotechnology. Microbial Cell Factories. 11(1). 36–36. 218 indexed citations
9.
Błażewicz, Jacek, Marek Figlerowicz, Piotr Gawron, et al.. (2009). Whole genome assembly from 454 sequencing output via modified DNA graph concept. Computational Biology and Chemistry. 33(3). 224–230. 17 indexed citations
10.
DiGuistini, Scott, Nancy Liao, Darren Platt, et al.. (2009). De novo genome sequence assembly of a filamentous fungus using Sanger, 454 and Illumina sequence data. Genome biology. 10(9). R94–R94. 115 indexed citations
11.
Platt, Darren. (2009). When Consumers Get their Genomes. Personalized Medicine. 6(6). 669–679. 7 indexed citations
12.
Błażewicz, Jacek, Marek Figlerowicz, Piotr Gawron, et al.. (2008). A new algorithm for genome assembly from short reads. 1–4. 2 indexed citations
13.
Błażewicz, Jacek, Marta Kasprzak, Marek Figlerowicz, et al.. (2008). Parallel Implementation of the Novel Approach to Genome Assembly. 6. 732–737. 1 indexed citations
14.
Marcy, Yann, Cleber Ouverney, Elisabeth M. Bik, et al.. (2007). Dissecting biological “dark matter” with single-cell genetic analysis of rare and uncultivated TM7 microbes from the human mouth. Proceedings of the National Academy of Sciences. 104(29). 11889–11894. 467 indexed citations
15.
Noonan, James P., Graham Coop, Sridhar Kudaravalli, et al.. (2006). Sequencing and Analysis of Neanderthal Genomic DNA. Science. 314(5802). 1113–1118. 359 indexed citations breakdown →
16.
Warren, Robin M., Darren Platt, Xiaoqiu Huang, et al.. (2006). Physical map-assisted whole-genome shotgun sequence assemblies. Genome Research. 16(6). 768–775. 20 indexed citations
17.
Platt, Darren & Trevor I. Dix. (2002). Stochastic assembly of contig restriction maps. 155–164. 1 indexed citations
18.
Mackenzie, Thomas A., et al.. (2002). Modelling errors in restriction mapping. 49. 613–619.
19.
Pierce, Sarah B., Michael A. Costa, Robert G. Wisotzkey, et al.. (2001). Regulation of DAF-2 receptor signaling by human insulin and ins-1, a member of the unusually large and diverse C. elegans insulin gene family. Genes & Development. 15(6). 672–686. 505 indexed citations breakdown →
20.
Platt, Darren & Trevor I. Dix. (1997). Comparison of Clone-Ordering Algorithms Used in Physical Mapping. Genomics. 40(3). 490–492. 5 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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