Ryan T. Gill

6.9k total citations
90 papers, 2.9k citations indexed

About

Ryan T. Gill is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Ryan T. Gill has authored 90 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 25 papers in Genetics and 16 papers in Biomedical Engineering. Recurrent topics in Ryan T. Gill's work include CRISPR and Genetic Engineering (47 papers), Microbial Metabolic Engineering and Bioproduction (35 papers) and RNA and protein synthesis mechanisms (26 papers). Ryan T. Gill is often cited by papers focused on CRISPR and Genetic Engineering (47 papers), Microbial Metabolic Engineering and Bioproduction (35 papers) and RNA and protein synthesis mechanisms (26 papers). Ryan T. Gill collaborates with scholars based in United States, Denmark and United Kingdom. Ryan T. Gill's co-authors include Nicholas R. Sandoval, Rongming Liu, Andrew D. Garst, Liya Liang, Marcelo C. Bassalo, Michael Lynch, Gur Pines, Ramsey I. Zeitoun, Andrea L. Halweg‐Edwards and William E. Bentley and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ryan T. Gill

90 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan T. Gill United States 31 2.5k 807 719 197 191 90 2.9k
Nicky C. Caiazza United States 13 2.0k 0.8× 626 0.8× 516 0.7× 111 0.6× 279 1.5× 13 2.5k
Tino Polen Germany 29 2.3k 0.9× 654 0.8× 889 1.2× 66 0.3× 339 1.8× 79 3.1k
Elliot Altman United States 30 2.9k 1.2× 1.1k 1.3× 777 1.1× 86 0.4× 221 1.2× 66 3.3k
Rafael Silva‐Rocha Brazil 28 2.0k 0.8× 700 0.9× 586 0.8× 71 0.4× 264 1.4× 94 2.6k
Guang Zhao China 31 1.9k 0.7× 768 1.0× 257 0.4× 62 0.3× 295 1.5× 76 2.6k
Song Lin Chua Singapore 24 1.2k 0.5× 287 0.4× 199 0.3× 104 0.5× 256 1.3× 42 1.9k
Ki Jun Jeong South Korea 35 2.6k 1.1× 893 1.1× 426 0.6× 51 0.3× 267 1.4× 131 3.5k
Suhyung Cho South Korea 29 2.1k 0.8× 406 0.5× 370 0.5× 155 0.8× 249 1.3× 77 2.6k
Hua Ling Singapore 28 1.5k 0.6× 394 0.5× 341 0.5× 49 0.2× 148 0.8× 70 2.2k
Donghyuk Kim South Korea 25 1.6k 0.6× 434 0.5× 597 0.8× 82 0.4× 194 1.0× 44 2.1k

Countries citing papers authored by Ryan T. Gill

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Gill'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 Ryan T. Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Gill more than expected).

Fields of papers citing papers by Ryan T. Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Gill. 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 Ryan T. Gill. The network helps show where Ryan T. Gill may publish in the future.

Co-authorship network of co-authors of Ryan T. Gill

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Gill. A scholar is included among the top collaborators of Ryan T. Gill 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 Ryan T. Gill. Ryan T. Gill 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.
Lee, Eun Gyung, Ryan T. Gill, Aliakbar Afshari, et al.. (2023). 6 Characterization of Aerosolized Particles Generated During Cutting of Carbon Nanotubes-Embedded Concrete. Annals of Work Exposures and Health. 67(Supplement_1). i87–i88. 1 indexed citations
2.
Damas, Nkerorema Djodji, et al.. (2023). The CRISPR-Cas12a Platform for Accurate Genome Editing, Gene Disruption, and Efficient Transgene Integration in Human Immune Cells. ACS Synthetic Biology. 12(2). 375–389. 10 indexed citations
3.
Song, Xin, Yangyang Zheng, Shuting Li, et al.. (2023). Engineering global regulators for enhanced tolerance to multiple inhibitors by CRISPR ‐enabled trackable genome engineering. AIChE Journal. 69(4). 3 indexed citations
4.
Liang, Liya, Rongming Liu, Emily F. Freed, Carrie A. Eckert, & Ryan T. Gill. (2020). Transcriptional Regulatory Networks Involved in C3–C4 Alcohol Stress Response and Tolerance in Yeast. ACS Synthetic Biology. 10(1). 19–28. 6 indexed citations
5.
Choudhury, Alaksh, et al.. (2020). CRISPR /Cas9 recombineering‐mediated deep mutational scanning of essential genes in Escherichia coli. Molecular Systems Biology. 16(3). e9265–e9265. 29 indexed citations
6.
Oh, Eun Joong, Rongming Liu, Liya Liang, et al.. (2020). Multiplex Evolution of Antibody Fragments Utilizing a Yeast Surface Display Platform. ACS Synthetic Biology. 9(8). 2197–2202. 7 indexed citations
7.
Choudhury, Alaksh, Emily F. Freed, Eun Joong Oh, et al.. (2020). Determinants for Efficient Editing with Cas9-Mediated Recombineering in Escherichia coli. ACS Synthetic Biology. 9(5). 1083–1099. 10 indexed citations
8.
Egbert, Robert G., et al.. (2019). A versatile platform strain for high-fidelity multiplex genome editing. Nucleic Acids Research. 47(6). 3244–3256. 16 indexed citations
9.
Pines, Gur, Eun Joong Oh, Marcelo C. Bassalo, et al.. (2018). Genomic Deoxyxylulose Phosphate Reductoisomerase (DXR) Mutations Conferring Resistance to the Antimalarial Drug Fosmidomycin in E. coli. ACS Synthetic Biology. 7(12). 2824–2832. 10 indexed citations
10.
Liang, Liya, Chelsea M. Heveran, Rongming Liu, et al.. (2018). Rational Control of Calcium Carbonate Precipitation by Engineered Escherichia coli. ACS Synthetic Biology. 7(11). 2497–2506. 29 indexed citations
11.
Pines, Gur, et al.. (2017). Refactoring the Genetic Code for Increased Evolvability. mBio. 8(6). 17 indexed citations
12.
Lynch, Sean, Carrie A. Eckert, Jianping Yu, Ryan T. Gill, & Pin‐Ching Maness. (2016). Overcoming substrate limitations for improved production of ethylene in E. coli. Biotechnology for Biofuels. 9(1). 3–3. 22 indexed citations
13.
Winkler, James D., Andrea L. Halweg‐Edwards, & Ryan T. Gill. (2016). Quantifying complexity in metabolic engineering using the LASER database. Metabolic Engineering Communications. 3. 227–233. 6 indexed citations
14.
Mansell, Thomas J., Joseph R. Warner, & Ryan T. Gill. (2013). Trackable Multiplex Recombineering for Gene-Trait Mapping in E. coli. Methods in molecular biology. 985. 223–246. 8 indexed citations
15.
Sandoval, Nicholas R., et al.. (2012). Strategy for directing combinatorial genome engineering in Escherichia coli. Proceedings of the National Academy of Sciences. 109(26). 10540–10545. 66 indexed citations
16.
Boyle, Nanette & Ryan T. Gill. (2012). Tools for genome-wide strain design and construction. Current Opinion in Biotechnology. 23(5). 666–671. 14 indexed citations
17.
Woodruff, Lauren B.A., Jagroop Pandhal, Saw Yen Ow, et al.. (2012). Genome-scale identification and characterization of ethanol tolerance genes in Escherichia coli. Metabolic Engineering. 15. 124–133. 45 indexed citations
18.
Shokati, Touraj, et al.. (2009). Identification and characterization of a bacterial cytochrome P450 for the metabolism of diclofenac. Applied Microbiology and Biotechnology. 85(3). 625–633. 34 indexed citations
19.
Gill, Ryan T., et al.. (2006). Reverse Engineering Antibiotic Sensitivity in a Multidrug-Resistant Pseudomonas aeruginosa Isolate. Antimicrobial Agents and Chemotherapy. 50(7). 2506–2515. 5 indexed citations
20.
Gill, Ryan T., James J. Valdés, & William E. Bentley. (2000). A Comparative Study of Global Stress Gene Regulation in Response to Overexpression of Recombinant Proteins in Escherichia coli. Metabolic Engineering. 2(3). 178–189. 100 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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