Weston R. Whitaker

1.4k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Weston R. Whitaker is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Weston R. Whitaker has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Food Science. Recurrent topics in Weston R. Whitaker's work include RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Weston R. Whitaker is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), CRISPR and Genetic Engineering (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Weston R. Whitaker collaborates with scholars based in United States. Weston R. Whitaker's co-authors include Justin L. Sonnenburg, William C. DeLoache, Kali M. Pruss, John E. Dueber, Adam P. Arkin, Lei S. Qi, Julius B. Lucks, Yogesh Bhattarai, Eric Battaglioli and Nicholas C. Zachos and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Weston R. Whitaker

9 papers receiving 1.0k citations

Hit Papers

Gut Microbiota-Produced Tryptamine Activates an Epithelia... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weston R. Whitaker United States 8 865 172 164 151 130 9 1.0k
Jan Peter van Pijkeren United States 9 567 0.7× 75 0.4× 323 2.0× 149 1.0× 66 0.5× 13 829
Elisa Deriu United States 6 565 0.7× 263 1.5× 296 1.8× 96 0.6× 44 0.3× 7 1.1k
Yiwen Cheng China 13 537 0.6× 122 0.7× 79 0.5× 110 0.7× 80 0.6× 23 809
Antonio Palomba Italy 16 800 0.9× 79 0.5× 148 0.9× 84 0.6× 27 0.2× 26 1.1k
Lan Lin China 8 532 0.6× 116 0.7× 96 0.6× 72 0.5× 46 0.4× 13 812
Swadha Anand India 10 658 0.8× 135 0.8× 83 0.5× 82 0.5× 24 0.2× 16 997
Chise Suzuki Japan 22 870 1.0× 88 0.5× 539 3.3× 139 0.9× 30 0.2× 85 1.5k
Justin L. McCarville Canada 17 730 0.8× 149 0.9× 158 1.0× 195 1.3× 504 3.9× 25 1.5k
Cristina Fraumene Italy 18 692 0.8× 59 0.3× 119 0.7× 180 1.2× 22 0.2× 24 1.1k
Chenchen Ma China 19 664 0.8× 69 0.4× 307 1.9× 89 0.6× 36 0.3× 49 1.0k

Countries citing papers authored by Weston R. Whitaker

Since Specialization
Citations

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

Fields of papers citing papers by Weston R. Whitaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weston R. Whitaker

This figure shows the co-authorship network connecting the top 25 collaborators of Weston R. Whitaker. A scholar is included among the top collaborators of Weston R. Whitaker 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 Weston R. Whitaker. Weston R. Whitaker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bhattarai, Yogesh, Brianna B. Williams, Eric Battaglioli, et al.. (2018). Gut Microbiota-Produced Tryptamine Activates an Epithelial G-Protein-Coupled Receptor to Increase Colonic Secretion. Cell Host & Microbe. 23(6). 775–785.e5. 310 indexed citations breakdown →
2.
DeLoache, William C., et al.. (2018). An exclusive metabolic niche enables strain engraftment in the gut microbiota. Nature. 557(7705). 434–438. 272 indexed citations
3.
Whitaker, Weston R., et al.. (2017). Tunable Expression Tools Enable Single-Cell Strain Distinction in the Gut Microbiome. Cell. 169(3). 538–546.e12. 159 indexed citations
4.
Hsiao, Victoria, Emmanuel L. C. de los Santos, Weston R. Whitaker, John E. Dueber, & Richard M. Murray. (2014). Design and Implementation of a Biomolecular Concentration Tracker. ACS Synthetic Biology. 4(2). 150–161. 69 indexed citations
5.
Whitaker, Weston R., Hanson Lee, Adam P. Arkin, & John E. Dueber. (2014). Avoidance of Truncated Proteins from Unintended Ribosome Binding Sites within Heterologous Protein Coding Sequences. ACS Synthetic Biology. 4(3). 249–257. 24 indexed citations
6.
Whitaker, Weston R.. (2012). Engineering Modular Post-Translational Control Strategies in Prokaryotes. Endoscopy. 29(5). S30–1. 1 indexed citations
7.
Whitaker, Weston R., et al.. (2012). Engineering robust control of two-component system phosphotransfer using modular scaffolds. Proceedings of the National Academy of Sciences. 109(44). 18090–18095. 67 indexed citations
8.
Whitaker, Weston R. & John E. Dueber. (2011). Metabolic Pathway Flux Enhancement by Synthetic Protein Scaffolding. Methods in enzymology on CD-ROM/Methods in enzymology. 497. 447–468. 32 indexed citations
9.
Lucks, Julius B., Lei S. Qi, Weston R. Whitaker, & Adam P. Arkin. (2008). Toward scalable parts families for predictable design of biological circuits. Current Opinion in Microbiology. 11(6). 567–573. 94 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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