Allen R. Buskirk

4.0k total citations
40 papers, 2.5k citations indexed

About

Allen R. Buskirk is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Allen R. Buskirk has authored 40 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 18 papers in Genetics and 4 papers in Ecology. Recurrent topics in Allen R. Buskirk's work include RNA and protein synthesis mechanisms (37 papers), RNA modifications and cancer (29 papers) and Bacterial Genetics and Biotechnology (18 papers). Allen R. Buskirk is often cited by papers focused on RNA and protein synthesis mechanisms (37 papers), RNA modifications and cancer (29 papers) and Bacterial Genetics and Biotechnology (18 papers). Allen R. Buskirk collaborates with scholars based in United States, Germany and France. Allen R. Buskirk's co-authors include Rachel Green, Christopher J. Woolstenhulme, Fuad Mohammad, Thomas Dever, David R. Liu, Colin Chih‐Chien Wu, Anthony P. Schuller, Nicholas R. Guydosh, Erik Gutierrez and Byung‐Sik Shin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Allen R. Buskirk

38 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allen R. Buskirk United States 24 2.4k 598 327 102 96 40 2.5k
Elizabeth J. Grayhack United States 28 2.9k 1.2× 330 0.6× 187 0.6× 37 0.4× 226 2.4× 43 3.2k
M.J. Tarry United Kingdom 15 2.4k 1.0× 843 1.4× 328 1.0× 21 0.2× 85 0.9× 20 2.6k
Peter O. Olins United States 17 1.7k 0.7× 488 0.8× 191 0.6× 35 0.3× 106 1.1× 29 2.1k
Guilhem Faure United States 25 1.5k 0.6× 303 0.5× 259 0.8× 20 0.2× 80 0.8× 43 2.0k
Sichen Shao United States 27 2.7k 1.1× 369 0.6× 270 0.8× 42 0.4× 267 2.8× 46 3.3k
Scott Bailey United States 28 2.0k 0.8× 539 0.9× 201 0.6× 23 0.2× 89 0.9× 39 2.4k
R.M. Voorhees United States 17 2.3k 0.9× 634 1.1× 172 0.5× 16 0.2× 134 1.4× 25 2.5k
Martin Pool United Kingdom 19 1.6k 0.7× 557 0.9× 207 0.6× 24 0.2× 206 2.1× 29 1.8k
Umadas Maitra United States 38 3.4k 1.4× 781 1.3× 526 1.6× 145 1.4× 231 2.4× 102 3.7k
Janice M. Zengel United States 30 2.5k 1.0× 1.1k 1.9× 411 1.3× 17 0.2× 73 0.8× 71 2.8k

Countries citing papers authored by Allen R. Buskirk

Since Specialization
Citations

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

Fields of papers citing papers by Allen R. Buskirk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Allen R. Buskirk

This figure shows the co-authorship network connecting the top 25 collaborators of Allen R. Buskirk. A scholar is included among the top collaborators of Allen R. Buskirk 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 Allen R. Buskirk. Allen R. Buskirk 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.
Campbell, Annabelle, A. Maxwell Burroughs, Otto Berninghausen, et al.. (2025). The RNA helicase HrpA rescues collided ribosomes in E. coli. Molecular Cell. 85(5). 999–1007.e7.
2.
Shao, Bin, Jiawei Yan, Jing Zhang, et al.. (2024). Riboformer: a deep learning framework for predicting context-dependent translation dynamics. Nature Communications. 15(1). 2011–2011. 7 indexed citations
3.
Mackens‐Kiani, Timur, A. Maxwell Burroughs, Otto Berninghausen, et al.. (2023). B. subtilis MutS2 splits stalled ribosomes into subunits without mRNA cleavage. The EMBO Journal. 43(4). 484–506. 9 indexed citations
4.
Saito, Kazuki, Hanna Kratzat, Annabelle Campbell, et al.. (2022). Ribosome collisions induce mRNA cleavage and ribosome rescue in bacteria. Nature. 603(7901). 503–508. 58 indexed citations
5.
Masuda, Isao, Thomas Christian, Fuad Mohammad, et al.. (2021). Loss of N1-methylation of G37 in tRNA induces ribosome stalling and reprograms gene expression. eLife. 10. 25 indexed citations
6.
Vázquez‐Laslop, Nora, Cynthia M. Sharma, Alexander S. Mankin, & Allen R. Buskirk. (2021). Identifying Small Open Reading Frames in Prokaryotes with Ribosome Profiling. Journal of Bacteriology. 204(1). e0029421–e0029421. 31 indexed citations
7.
Gelsinger, Diego R., et al.. (2020). Ribosome profiling in archaea reveals leaderless translation, novel translational initiation sites, and ribosome pausing at single codon resolution. Nucleic Acids Research. 48(10). 5201–5216. 50 indexed citations
8.
Saito, Kazuki, Rachel Green, & Allen R. Buskirk. (2020). Ribosome recycling is not critical for translational coupling in Escherichia coli. eLife. 9. 21 indexed citations
9.
Mohammad, Fuad, Christopher J. Woolstenhulme, Rachel Green, & Allen R. Buskirk. (2016). Clarifying the Translational Pausing Landscape in Bacteria by Ribosome Profiling. Cell Reports. 14(4). 686–694. 126 indexed citations
10.
Buskirk, Allen R., et al.. (2016). A ribosome profiling study of mRNA cleavage by the endonuclease RelE. Nucleic Acids Research. 45(1). 327–336. 42 indexed citations
11.
Woolstenhulme, Christopher J., Shankar P. Parajuli, David Healey, et al.. (2013). Nascent peptides that block protein synthesis in bacteria. Proceedings of the National Academy of Sciences. 110(10). E878–87. 123 indexed citations
12.
Miller, Mickey & Allen R. Buskirk. (2013). An unusual mechanism for EF-Tu activation during tmRNA-mediated ribosome rescue. RNA. 20(2). 228–235. 19 indexed citations
13.
Miller, Mickey, Zhu Liu, Steven R. Herron, et al.. (2011). The role of SmpB and the ribosomal decoding center in licensing tmRNA entry into stalled ribosomes. RNA. 17(9). 1727–1736. 25 indexed citations
14.
Woolstenhulme, Christopher J., et al.. (2009). Genetic Identification of Nascent Peptides That Induce Ribosome Stalling. Journal of Biological Chemistry. 284(50). 34809–34818. 89 indexed citations
15.
Miller, Mickey, et al.. (2006). Genetic Analysis of the Structure and Function of Transfer Messenger RNA Pseudoknot 1. Journal of Biological Chemistry. 281(15). 10561–10566. 21 indexed citations
16.
Buskirk, Allen R.. (2005). Science, Pseudoscience, and Religious Belief. Mormon Studies Review. 17 (2005)(1). 273–309..
17.
Buskirk, Allen R. & David R. Liu. (2005). Creating Small-Molecule-Dependent Switches to Modulate Biological Functions. Chemistry & Biology. 12(2). 151–161. 66 indexed citations
18.
Buskirk, Allen R., et al.. (2004). Directed evolution of ligand dependence: Small-molecule-activated protein splicing. Proceedings of the National Academy of Sciences. 101(29). 10505–10510. 128 indexed citations
19.
Buskirk, Allen R., Angela Landrigan, & David R. Liu. (2004). Engineering a Ligand-Dependent RNA Transcriptional Activator. Chemistry & Biology. 11(8). 1157–1163. 71 indexed citations
20.
Buskirk, Allen R., et al.. (2003). In Vivo Evolution of an RNA-Based Transcriptional Activator. Chemistry & Biology. 10(6). 533–540. 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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