Matthew Deaner

407 total citations
9 papers, 317 citations indexed

About

Matthew Deaner is a scholar working on Molecular Biology, Biomedical Engineering and Plant Science. According to data from OpenAlex, Matthew Deaner has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Biomedical Engineering and 1 paper in Plant Science. Recurrent topics in Matthew Deaner's work include CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and RNA and protein synthesis mechanisms (4 papers). Matthew Deaner is often cited by papers focused on CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (5 papers) and RNA and protein synthesis mechanisms (4 papers). Matthew Deaner collaborates with scholars based in United States. Matthew Deaner's co-authors include Hal S. Alper, Shuo‐Fu Yuan, Frank F. Craig, James M. Wagner, Ernst Oberortner, Simon d’Oelsnitz, Yasuo Yoshikuni, Jan‐Fang Cheng, Lauren T. Cordova and Robert S. Evans and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Opinion in Biotechnology and Metabolic Engineering.

In The Last Decade

Matthew Deaner

9 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew Deaner United States	8	293	64	23	22	20	9	317
Wonjae Seong South Korea	8	314 1.1×	81 1.3×	62 2.7×	20 0.9×	26 1.3×	11	336
Harley Edwards United States	5	293 1.0×	73 1.1×	35 1.5×	27 1.2×	26 1.3×	11	326
Anna-Maria Hatzl Austria	4	338 1.2×	92 1.4×	29 1.3×	49 2.2×	11 0.6×	7	363
Dushica Arsovska Denmark	5	483 1.6×	81 1.3×	52 2.3×	50 2.3×	35 1.8×	6	496
Elena Cámara Spain	7	324 1.1×	120 1.9×	24 1.0×	32 1.5×	8 0.4×	8	349
Jasmin Elgin Fischer Austria	9	468 1.6×	109 1.7×	45 2.0×	65 3.0×	24 1.2×	12	506
Richard J. Zahrl Austria	6	269 0.9×	93 1.5×	33 1.4×	54 2.5×	9 0.5×	6	296
C. T. C. Maurer Netherlands	4	260 0.9×	34 0.5×	14 0.6×	11 0.5×	11 0.6×	4	284
Corinna Rebnegger Austria	8	312 1.1×	85 1.3×	27 1.2×	40 1.8×	7 0.3×	12	353
Carl Malina Sweden	6	309 1.1×	75 1.2×	25 1.1×	18 0.8×	4 0.2×	7	358

Countries citing papers authored by Matthew Deaner

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Deaner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Deaner

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Deaner. A scholar is included among the top collaborators of Matthew Deaner 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 Matthew Deaner. Matthew Deaner 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

1.

Wagner, James M., Shuo‐Fu Yuan, Matthew Deaner, et al.. (2021). Sorting for secreted molecule production using a biosensor-in-microdroplet approach. Proceedings of the National Academy of Sciences. 118(36). 26 indexed citations

2.

Deaner, Matthew, Jan‐Fang Cheng, Robert S. Evans, et al.. (2020). Bidirectional titration of yeast gene expression using a pooled CRISPR guide RNA approach. Proceedings of the National Academy of Sciences. 117(31). 18424–18430. 22 indexed citations

3.

Lin, Jyun‐Liang, et al.. (2019). CRISPR-PIN: Modifying gene position in the nucleus via dCas9-mediated tethering. Synthetic and Systems Biotechnology. 4(2). 73–78. 5 indexed citations

4.

Deaner, Matthew & Hal S. Alper. (2019). Enhanced scale and scope of genome engineering and regulation using CRISPR/Cas inSaccharomyces cerevisiae. FEMS Yeast Research. 19(7). 15 indexed citations

5.

Deaner, Matthew, et al.. (2018). Recent advancements in fungal-derived fuel and chemical production and commercialization. Current Opinion in Biotechnology. 57. 1–9. 35 indexed citations

6.

Deaner, Matthew, et al.. (2018). Modular Ligation Extension of Guide RNA Operons (LEGO) for Multiplexed dCas9 Regulation of Metabolic Pathways in Saccharomyces cerevisiae. Biotechnology Journal. 13(9). 28 indexed citations

7.

Deaner, Matthew & Hal S. Alper. (2017). Systematic testing of enzyme perturbation sensitivities via graded dCas9 modulation in Saccharomyces cerevisiae. Metabolic Engineering. 40. 14–22. 91 indexed citations

8.

Deaner, Matthew, et al.. (2017). Enabling Graded and Large-Scale Multiplex of Desired Genes Using a Dual-Mode dCas9 Activator in Saccharomyces cerevisiae. ACS Synthetic Biology. 6(10). 1931–1943. 57 indexed citations

9.

Deaner, Matthew & Hal S. Alper. (2016). Promoter and Terminator Discovery and Engineering. Advances in biochemical engineering, biotechnology. 162. 21–44. 38 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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