Keith E. Shearwin

3.2k total citations
73 papers, 2.4k citations indexed

About

Keith E. Shearwin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Keith E. Shearwin has authored 73 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Molecular Biology, 33 papers in Genetics and 23 papers in Ecology. Recurrent topics in Keith E. Shearwin's work include Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (25 papers) and Bacteriophages and microbial interactions (23 papers). Keith E. Shearwin is often cited by papers focused on Bacterial Genetics and Biotechnology (30 papers), RNA and protein synthesis mechanisms (25 papers) and Bacteriophages and microbial interactions (23 papers). Keith E. Shearwin collaborates with scholars based in Australia, United States and United Kingdom. Keith E. Shearwin's co-authors include J. Barry Egan, Ian B. Dodd, John T. Egan, Adam C. Palmer, Nan Hao, Donald J. Winzor, Lun Cui, David G. Priest, Serge N. Timasheff and Ann Hochschild and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Keith E. Shearwin

72 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith E. Shearwin Australia 24 1.9k 863 572 158 151 73 2.4k
Michael Shales United States 22 3.1k 1.6× 793 0.9× 205 0.4× 212 1.3× 218 1.4× 34 3.7k
Szabolcs Semsey Denmark 27 1.3k 0.7× 848 1.0× 444 0.8× 117 0.7× 81 0.5× 65 1.8k
Christophe Herman United States 25 1.7k 0.9× 1.0k 1.2× 298 0.5× 96 0.6× 158 1.0× 45 2.3k
Albert Schmitz Switzerland 16 2.5k 1.3× 1.1k 1.3× 329 0.6× 215 1.4× 130 0.9× 21 3.1k
William F. Burkholder United States 23 2.4k 1.2× 622 0.7× 334 0.6× 134 0.8× 295 2.0× 31 2.7k
Franck Duong Canada 27 2.0k 1.0× 1.2k 1.4× 453 0.8× 87 0.6× 160 1.1× 67 2.5k
Claus Urbanke Germany 36 3.3k 1.7× 1.0k 1.2× 348 0.6× 198 1.3× 410 2.7× 101 4.1k
N. Patrick Higgins United States 33 3.1k 1.6× 1.4k 1.7× 1.1k 1.9× 209 1.3× 66 0.4× 69 3.5k
Ian Collinson United Kingdom 33 3.2k 1.7× 1.7k 2.0× 586 1.0× 115 0.7× 326 2.2× 74 3.7k
Achim Dickmanns Germany 33 2.4k 1.3× 375 0.4× 206 0.4× 205 1.3× 231 1.5× 70 3.1k

Countries citing papers authored by Keith E. Shearwin

Since Specialization
Citations

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

Fields of papers citing papers by Keith E. Shearwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keith E. Shearwin. 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 Keith E. Shearwin. The network helps show where Keith E. Shearwin may publish in the future.

Co-authorship network of co-authors of Keith E. Shearwin

This figure shows the co-authorship network connecting the top 25 collaborators of Keith E. Shearwin. A scholar is included among the top collaborators of Keith E. Shearwin 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 Keith E. Shearwin. Keith E. Shearwin 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.
Hao, Nan, et al.. (2023). When push comes to shove - RNA polymerase and DNA-bound protein roadblocks. Biophysical Reviews. 15(3). 355–366. 1 indexed citations
2.
Hao, Nan, Adrienne E. Sullivan, Keith E. Shearwin, & Ian B. Dodd. (2021). The loopometer: a quantitative in vivo assay for DNA-looping proteins. Nucleic Acids Research. 49(7). e39–e39. 4 indexed citations
3.
Hao, Nan, et al.. (2021). Analysis of Infection Time Courses Shows CII Levels Determine the Frequency of Lysogeny in Phage 186. Pharmaceuticals. 14(10). 998–998. 2 indexed citations
4.
Nguyen, Stephanie, et al.. (2021). Simplified heavy-atom derivatization of protein structures via co-crystallization with the MAD tetragon tetrabromoterephthalic acid. Acta Crystallographica Section F Structural Biology Communications. 77(5). 156–162. 2 indexed citations
5.
Cutts, Erin, J. Barry Egan, Ian B. Dodd, & Keith E. Shearwin. (2020). A quantitative binding model for the Apl protein, the dual purpose recombination-directionality factor and lysis-lysogeny regulator of bacteriophage 186. Nucleic Acids Research. 48(16). 8914–8926. 2 indexed citations
6.
Hayes, Andrew J., William Tieu, Bart A. Eijkelkamp, et al.. (2020). Advanced Resistance Studies Identify Two Discrete Mechanisms in Staphylococcus aureus to Overcome Antibacterial Compounds that Target Biotin Protein Ligase. Antibiotics. 9(4). 165–165. 5 indexed citations
7.
Panjikar, Santosh, et al.. (2019). Combining random microseed matrix screening and the magic triangle for the efficient structure solution of a potential lysin from bacteriophage P68. Acta Crystallographica Section D Structural Biology. 75(7). 670–681. 3 indexed citations
8.
Eijkelkamp, Bart A., et al.. (2018). Biotin-mediated growth and gene expression in Staphylococcus aureus is highly responsive to environmental biotin. Applied Microbiology and Biotechnology. 102(8). 3793–3803. 11 indexed citations
9.
Hao, Nan, Kim Sneppen, Keith E. Shearwin, & Ian B. Dodd. (2017). Efficient chromosomal-scale DNA looping in Escherichia coli using multiple DNA-looping elements. Nucleic Acids Research. 45(9). 5074–5085. 6 indexed citations
10.
Shearwin, Keith E., et al.. (2016). Mechanisms of biotin-regulated gene expression in microbes. Synthetic and Systems Biotechnology. 1(1). 17–24. 40 indexed citations
11.
12.
Priest, David G., et al.. (2014). Promoter Activation by CII, a Potent Transcriptional Activator from Bacteriophage 186. Journal of Biological Chemistry. 289(46). 32094–32108. 6 indexed citations
13.
Hao, Nan, et al.. (2014). Road rules for traffic on DNA—systematic analysis of transcriptional roadblocking in vivo. Nucleic Acids Research. 42(14). 8861–8872. 31 indexed citations
14.
Gao, Ning, Keith E. Shearwin, John Mack, Laura Finzi, & David Dunlap. (2013). Purification of bacteriophage lambda repressor. Protein Expression and Purification. 91(1). 30–36. 10 indexed citations
15.
Hao, Nan, Murray L. Whitelaw, Keith E. Shearwin, Ian B. Dodd, & Anne Chapman‐Smith. (2011). Identification of residues in the N-terminal PAS domains important for dimerization of Arnt and AhR. Nucleic Acids Research. 39(9). 3695–3709. 36 indexed citations
16.
Pinkett, Heather W., Keith E. Shearwin, Steven E. Stayrook, et al.. (2006). The Structural Basis of Cooperative Regulation at an Alternate Genetic Switch. Molecular Cell. 21(5). 605–615. 27 indexed citations
17.
Sneppen, Kim, et al.. (2004). A Mathematical Model for Transcriptional Interference by RNA Polymerase Traffic in Escherichia coli. Journal of Molecular Biology. 346(2). 399–409. 80 indexed citations
18.
Reed, Michael R., et al.. (1997). The dual role of Apl in prophage induction of coliphage 186. Molecular Microbiology. 23(4). 669–681. 26 indexed citations
19.
Shearwin, Keith E., Serge N. Timasheff, & Bernardo Pérez-Ramírez. (1994). Linkages between the dissociation of .alpha..beta. tubulin into subunits and ligand binding: The ground state of tubulin is the GDP conformation. Biochemistry. 33(4). 885–893. 19 indexed citations
20.
Shearwin, Keith E., et al.. (1989). The influence of molecular crowding on the binding of glycolytic enzymes to cytoskeletal structure.. PubMed. 19(4). 723–9. 8 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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