Ryan T. Fuchs

2.3k total citations
24 papers, 1.3k citations indexed

About

Ryan T. Fuchs is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Ryan T. Fuchs has authored 24 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Insect Science. Recurrent topics in Ryan T. Fuchs's work include RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (11 papers) and CRISPR and Genetic Engineering (8 papers). Ryan T. Fuchs is often cited by papers focused on RNA and protein synthesis mechanisms (17 papers), RNA modifications and cancer (11 papers) and CRISPR and Genetic Engineering (8 papers). Ryan T. Fuchs collaborates with scholars based in United States, Netherlands and Switzerland. Ryan T. Fuchs's co-authors include Tina M. Henkin, G. Brett Robb, Frank J. Grundy, Fanglei Zhuang, Zhiyi Sun, Angela M. Smith, Yu Zheng, Jennifer L. Curcuru, Megumu Mabuchi and Fanette Fontaine and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ryan T. Fuchs

24 papers receiving 1.2k 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. Fuchs United States 16 1.1k 236 206 92 90 24 1.3k
Keith P. Bjornson United States 15 1.5k 1.3× 401 1.7× 119 0.6× 159 1.7× 142 1.6× 16 1.7k
Katarzyna J. Purzycka Poland 15 1.0k 0.9× 75 0.3× 98 0.5× 95 1.0× 131 1.5× 27 1.2k
Morgan C. Giddings United States 12 1.1k 1.0× 68 0.3× 299 1.5× 60 0.7× 83 0.9× 23 1.3k
Nasib K. Maluf United States 18 1.1k 0.9× 382 1.6× 78 0.4× 249 2.7× 151 1.7× 34 1.3k
Nicolas Garreau de Loubresse France 7 1.6k 1.4× 131 0.6× 50 0.2× 63 0.7× 155 1.7× 7 1.8k
Nathan A. Siegfried United States 11 939 0.8× 52 0.2× 146 0.7× 56 0.6× 37 0.4× 17 1.0k
Alexey Petrov United States 30 1.9k 1.7× 241 1.0× 139 0.7× 157 1.7× 139 1.5× 43 2.2k
Mandana Sassanfar United States 10 1.2k 1.0× 374 1.6× 91 0.4× 171 1.9× 51 0.6× 11 1.3k
Christopher W. Leonard United States 10 1.0k 0.9× 82 0.3× 86 0.4× 84 0.9× 77 0.9× 11 1.2k
Anna C. Haagsma Netherlands 15 820 0.7× 91 0.4× 67 0.3× 79 0.9× 41 0.5× 19 1.0k

Countries citing papers authored by Ryan T. Fuchs

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Fuchs'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. Fuchs 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. Fuchs more than expected).

Fields of papers citing papers by Ryan T. Fuchs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan T. Fuchs. A scholar is included among the top collaborators of Ryan T. Fuchs 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. Fuchs. Ryan T. Fuchs 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.
Pan, Juan, Megumu Mabuchi, Daniel W. Kneller, et al.. (2025). Kinetic analysis and engineering of thermostable Cas12a for nucleic acid detection. Nucleic Acids Research. 53(11). 3 indexed citations
2.
Scott, Kristin, Ryan T. Fuchs, Nan Dai, et al.. (2025). Comprehensive nucleoside analysis of archaeal RNA modification profiles reveals an m7G in the conserved P loop of 23S rRNA. Cell Reports. 44(4). 115471–115471. 1 indexed citations
3.
Scott, Kristin, Ryan T. Fuchs, Hallie P. Febvre, et al.. (2024). The extensive m5C epitranscriptome of Thermococcus kodakarensis is generated by a suite of RNA methyltransferases that support thermophily. Nature Communications. 15(1). 7272–7272. 6 indexed citations
4.
Scott, Kristin, Nan Dai, Ryan T. Fuchs, et al.. (2024). A novel N 4, N 4-dimethylcytidine in the archaeal ribosome enhances hyperthermophily. Proceedings of the National Academy of Sciences. 121(45). e2405999121–e2405999121. 1 indexed citations
5.
Watts, Elizabeth, Sandra C. Garrett, Ryan Catchpole, et al.. (2023). Histones direct site-specific CRISPR spacer acquisition in model archaeon. Nature Microbiology. 8(9). 1682–1694. 3 indexed citations
6.
Lee, Samantha, et al.. (2023). QT prolongation, torsades des pointes, and cardiac arrest after 4 mg of IV ondansetron. The American Journal of Emergency Medicine. 68. 214.e3–214.e6. 4 indexed citations
7.
Fuchs, Ryan T., Jennifer L. Curcuru, Megumu Mabuchi, et al.. (2022). Characterization of Cme and Yme thermostable Cas12a orthologs. Communications Biology. 5(1). 325–325. 24 indexed citations
8.
Mohanraju, Prarthana, Ioannis Mougiakos, Megumu Mabuchi, et al.. (2021). Development of a Cas12a-Based Genome Editing Tool for Moderate Thermophiles. The CRISPR Journal. 4(1). 82–91. 12 indexed citations
9.
Fu, Becky Xu Hua, Justin Smith, Ryan T. Fuchs, et al.. (2019). Target-dependent nickase activities of the CRISPR–Cas nucleases Cpf1 and Cas9. Nature Microbiology. 4(5). 888–897. 44 indexed citations
10.
Fuchs, Ryan T., et al.. (2018). Staphylococcus aureus Cas9 is a multiple-turnover enzyme. RNA. 25(1). 35–44. 61 indexed citations
11.
Fuchs, Ryan T., Zhiyi Sun, Fanglei Zhuang, & G. Brett Robb. (2015). Bias in Ligation-Based Small RNA Sequencing Library Construction Is Determined by Adaptor and RNA Structure. PLoS ONE. 10(5). e0126049–e0126049. 123 indexed citations
12.
Fuchs, Ryan T., et al.. (2012). <em>In vitro</em> Transcription and Capping of <em>Gaussia</em> Luciferase mRNA Followed by HeLa Cell Transfection. Journal of Visualized Experiments. 8 indexed citations
13.
Yamanaka, Soichiro, Sameet Mehta, Francisca E. Reyes‐Turcu, et al.. (2012). RNAi triggered by specialized machinery silences developmental genes and retrotransposons. Nature. 493(7433). 557–560. 117 indexed citations
14.
Zhuang, Fanglei, Ryan T. Fuchs, & G. Brett Robb. (2012). Small RNA Expression Profiling by High-Throughput Sequencing: Implications of Enzymatic Manipulation. Journal of Nucleic Acids. 2012. 1–15. 33 indexed citations
15.
Fontaine, Fanette, Ryan T. Fuchs, & Gisela Storz. (2011). Membrane Localization of Small Proteins in Escherichia coli. Journal of Biological Chemistry. 286(37). 32464–32474. 61 indexed citations
16.
Smith, Angela M., Ryan T. Fuchs, Frank J. Grundy, & Tina M. Henkin. (2010). Riboswitch RNAs: Regulation of gene expression by direct monitoring of a physiological signal. RNA Biology. 7(1). 104–110. 81 indexed citations
17.
Wilson, Ross C., Angela M. Smith, Ryan T. Fuchs, et al.. (2010). Tuning Riboswitch Regulation through Conformational Selection. Journal of Molecular Biology. 405(4). 926–938. 45 indexed citations
18.
Smith, Angela M., Ryan T. Fuchs, Frank J. Grundy, & Tina M. Henkin. (2010). The SAM‐responsive SMK box is a reversible riboswitch. Molecular Microbiology. 78(6). 1393–1402. 32 indexed citations
19.
Fuchs, Ryan T., Frank J. Grundy, & Tina M. Henkin. (2006). The SMK box is a new SAM-binding RNA for translational regulation of SAM synthetase. Nature Structural & Molecular Biology. 13(3). 226–233. 164 indexed citations
20.
Gembický, Milan, et al.. (2005). A fast mechanical shutter for submicrosecond time-resolved synchrotron experiments. Journal of Synchrotron Radiation. 12(5). 665–669. 42 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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