Daniel R. Boutz

5.4k total citations
33 papers, 2.2k citations indexed

About

Daniel R. Boutz is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniel R. Boutz has authored 33 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniel R. Boutz's work include RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daniel R. Boutz is often cited by papers focused on RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Daniel R. Boutz collaborates with scholars based in United States, United Kingdom and Switzerland. Daniel R. Boutz's co-authors include Edward M. Marcotte, Todd O. Yeates, Christine Vogel, Raquel de Sousa Abreu, Bruce A. Shapiro, Luiz O. F. Penalva, Suzanne Perea Burns, Daijin Ko, Shu‐Yun Le and L. Jeanne Perry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Daniel R. Boutz

31 papers receiving 2.1k citations

Peers

Daniel R. Boutz
Yi Shi United States
Woonghee Lee United States
Dixie J. Goss United States
Anna Lobley United Kingdom
Miro Venturi Germany
Rob Meijers Germany
Yi Shi United States
Daniel R. Boutz
Citations per year, relative to Daniel R. Boutz Daniel R. Boutz (= 1×) peers Yi Shi

Countries citing papers authored by Daniel R. Boutz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Boutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Boutz. 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 Daniel R. Boutz. The network helps show where Daniel R. Boutz may publish in the future.

Co-authorship network of co-authors of Daniel R. Boutz

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Boutz. A scholar is included among the top collaborators of Daniel R. Boutz 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 Daniel R. Boutz. Daniel R. Boutz 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.
Boutz, Daniel R., et al.. (2024). Engineering a human P2X2 receptor with altered ligand selectivity in yeast. Journal of Biological Chemistry. 300(5). 107248–107248. 1 indexed citations
2.
Kar, Shaunak, Kamyab Javanmardi, Daniel R. Boutz, et al.. (2024). Directed evolution of an orthogonal transcription engine for programmable gene expression in eukaryotes. iScience. 28(1). 111541–111541. 1 indexed citations
3.
June, Viviana, Dongqing Xu, Ophelia Papoulas, et al.. (2023). Protein nonadditive expression and solubility contribute to heterosis in Arabidopsis hybrids and allotetraploids. Frontiers in Plant Science. 14. 1252564–1252564.
4.
Geck, Renee C., Barbara Dunn, Daniel R. Boutz, et al.. (2023). Systematic profiling of ale yeast protein dynamics across fermentation and repitching. G3 Genes Genomes Genetics. 14(3). 3 indexed citations
5.
Laurent, Jon M., et al.. (2023). Rapid, scalable, combinatorial genome engineering by marker-less enrichment and recombination of genetically engineered loci in yeast. Cell Reports Methods. 3(5). 100464–100464. 4 indexed citations
6.
Bean, Björn D. M., Daniel R. Boutz, Andrew D. Ellington, et al.. (2022). Functional expression of opioid receptors and other human GPCRs in yeast engineered to produce human sterols. Nature Communications. 13(1). 2882–2882. 17 indexed citations
7.
Javanmardi, Kamyab, Chia‐Wei Chou, Tamer S. Kaoud, et al.. (2021). Rapid characterization of spike variants via mammalian cell surface display. Molecular Cell. 81(24). 5099–5111.e8. 36 indexed citations
8.
Boutz, Daniel R., et al.. (2019). Transcript degradation and codon usage regulate gene expression in a lytic phage†. Virus Evolution. 5(2). vez055–vez055. 11 indexed citations
9.
Lee, Jiwon, Andrew P. Horton, Jonathan R. McDaniel, et al.. (2019). Persistent Antibody Clonotypes Dominate the Serum Response to Influenza over Multiple Years and Repeated Vaccinations. Cell Host & Microbe. 25(3). 367–376.e5. 70 indexed citations
10.
Kim, Jae Jin, Seo Yun Lee, Fade Gong, et al.. (2019). Systematic bromodomain protein screens identify homologous recombination and R-loop suppression pathways involved in genome integrity. Genes & Development. 33(23-24). 1751–1774. 100 indexed citations
11.
Lindesmith, Lisa C., Jonathan R. McDaniel, Anita Changela, et al.. (2019). Sera Antibody Repertoire Analyses Reveal Mechanisms of Broad and Pandemic Strain Neutralizing Responses after Human Norovirus Vaccination. Immunity. 50(6). 1530–1541.e8. 78 indexed citations
12.
Boutz, Daniel R., et al.. (2017). Reduced Protein Expression in a Virus Attenuated by Codon Deoptimization. G3 Genes Genomes Genetics. 7(9). 2957–2968. 16 indexed citations
13.
Houser, John R., Daniel R. Boutz, Sean M. Carroll, et al.. (2017). The E. coli molecular phenotype under different growth conditions. Scientific Reports. 7(1). 45303–45303. 43 indexed citations
14.
Houser, John R., Daniel R. Boutz, Sean M. Carroll, et al.. (2015). Controlled Measurement and Comparative Analysis of Cellular Components in E. coli Reveals Broad Regulatory Changes in Response to Glucose Starvation. PLoS Computational Biology. 11(8). e1004400–e1004400. 30 indexed citations
15.
O’Connell, Jeremy D., Mark Tsechansky, Ariel Royall, et al.. (2014). A proteomic survey of widespread protein aggregation in yeast. Molecular BioSystems. 10(4). 851–861. 41 indexed citations
16.
Hammerling, Michael J., Jared W. Ellefson, Daniel R. Boutz, et al.. (2014). Bacteriophages use an expanded genetic code on evolutionary paths to higher fitness. Nature Chemical Biology. 10(3). 178–180. 39 indexed citations
17.
Boutz, Daniel R., Rong Wang, Constantinos Chronis, et al.. (2012). Proteomic and protein interaction network analysis of human T lymphocytes during cell‐cycle entry. Molecular Systems Biology. 8(1). 573–573. 18 indexed citations
18.
Boutz, Daniel R., Duilio Cascio, Julian P. Whitelegge, L. Jeanne Perry, & Todd O. Yeates. (2007). Discovery of a Thermophilic Protein Complex Stabilized by Topologically Interlinked Chains. Journal of Molecular Biology. 368(5). 1332–1344. 101 indexed citations
19.
Beeby, Morgan, et al.. (2005). The Genomics of Disulfide Bonding and Protein Stabilization in Thermophiles. PLoS Biology. 3(9). e309–e309. 160 indexed citations
20.
Sawaya, M.R., et al.. (2001). Crystal structure of a protein repair methyltransferase from Pyrococcus furiosus with its l -isoaspartyl peptide substrate 1 1Edited by I. A. Wilson. Journal of Molecular Biology. 313(5). 1103–1116. 54 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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