Nigel J. Savery

2.6k total citations
58 papers, 1.9k citations indexed

About

Nigel J. Savery is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Nigel J. Savery has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 38 papers in Genetics and 6 papers in Biomedical Engineering. Recurrent topics in Nigel J. Savery's work include Bacterial Genetics and Biotechnology (34 papers), DNA Repair Mechanisms (19 papers) and RNA and protein synthesis mechanisms (19 papers). Nigel J. Savery is often cited by papers focused on Bacterial Genetics and Biotechnology (34 papers), DNA Repair Mechanisms (19 papers) and RNA and protein synthesis mechanisms (19 papers). Nigel J. Savery collaborates with scholars based in United Kingdom, Italy and United States. Nigel J. Savery's co-authors include Abigail J. Smith, Mario di Bernardo, Claire Grierson, Mark S. Dillingham, Oliver Purcell, Peter McGlynn, Stephen Busby, Seth A. Darst, Alexandra M. Deaconescu and Terence R. Strick and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nigel J. Savery

58 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nigel J. Savery United Kingdom 25 1.7k 1.0k 228 155 120 58 1.9k
Szabolcs Semsey Denmark 27 1.3k 0.8× 848 0.8× 444 1.9× 98 0.6× 75 0.6× 65 1.8k
Norbert S. Hill United States 6 884 0.5× 696 0.7× 280 1.2× 88 0.6× 87 0.7× 12 1.2k
Jesse Stricker United States 8 1.3k 0.8× 715 0.7× 302 1.3× 149 1.0× 79 0.7× 8 1.6k
Benjamin P. Bratton United States 17 830 0.5× 537 0.5× 310 1.4× 95 0.6× 87 0.7× 30 1.2k
Handuo Shi United States 20 1.2k 0.7× 709 0.7× 338 1.5× 102 0.7× 84 0.7× 40 1.6k
Mark D. Szczelkun United Kingdom 28 2.1k 1.2× 777 0.8× 360 1.6× 124 0.8× 59 0.5× 75 2.4k
Bei‐Wen Ying Japan 21 1.2k 0.7× 612 0.6× 198 0.9× 125 0.8× 121 1.0× 61 1.5k
Irnov Irnov United States 13 1.2k 0.7× 643 0.6× 296 1.3× 117 0.8× 63 0.5× 15 1.6k
Véronique Arluison France 22 1.3k 0.7× 827 0.8× 469 2.1× 66 0.4× 98 0.8× 90 1.5k
Keith E. Shearwin Australia 24 1.9k 1.1× 863 0.8× 572 2.5× 76 0.5× 69 0.6× 73 2.4k

Countries citing papers authored by Nigel J. Savery

Since Specialization
Citations

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

Fields of papers citing papers by Nigel J. Savery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Savery. 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 Nigel J. Savery. The network helps show where Nigel J. Savery may publish in the future.

Co-authorship network of co-authors of Nigel J. Savery

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Savery. A scholar is included among the top collaborators of Nigel J. Savery 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 Nigel J. Savery. Nigel J. Savery 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.
Smith, Abigail J., Emily G. Baker, Andrew Herman, et al.. (2023). Design and Selection of Heterodimerizing Helical Hairpins for Synthetic Biology. ACS Synthetic Biology. 12(6). 1845–1858. 2 indexed citations
2.
Smith, Abigail J., Emily G. Baker, Orion D. Weiner, et al.. (2022). From peptides to proteins: coiled-coil tetramers to single-chain 4-helix bundles. Chemical Science. 13(38). 11330–11340. 15 indexed citations
3.
Rhys, Guto G., Jessica A. Cross, William Dawson, et al.. (2022). De novo designed peptides for cellular delivery and subcellular localisation. Nature Chemical Biology. 18(9). 999–1004. 24 indexed citations
4.
5.
Savery, Nigel J., et al.. (2021). Cotranscriptional R-loop formation by Mfd involves topological partitioning of DNA. Proceedings of the National Academy of Sciences. 118(15). 21 indexed citations
6.
Pedone, Elisa, Nigel J. Savery, Claire Grierson, et al.. (2021). Cheetah: A Computational Toolkit for Cybergenetic Control. ACS Synthetic Biology. 10(5). 979–989. 19 indexed citations
7.
Salzano, Davide, et al.. (2020). In Vivo Feedback Control of an Antithetic Molecular-Titration Motif in Escherichia coli Using Microfluidics. ACS Synthetic Biology. 9(10). 2617–2624. 27 indexed citations
8.
Smith, Abigail J., Franziska Thomas, Deborah K. Shoemark, Derek N. Woolfson, & Nigel J. Savery. (2019). Guiding Biomolecular Interactions in Cells Using de Novo Protein–Protein Interfaces. ACS Synthetic Biology. 8(6). 1284–1293. 31 indexed citations
9.
Savery, Nigel J., et al.. (2016). Length heterogeneity at conserved sequence block 2 in human mitochondrial DNA acts as a rheostat for RNA polymerase POLRMT activity. Nucleic Acids Research. 44(16). 7817–7829. 24 indexed citations
10.
Myka, Kamila K., Michelle Hawkins, Milind K. Gupta, et al.. (2016). Inhibiting translation elongation can aid genome duplication in Escherichia coli. Nucleic Acids Research. 45(5). 2571–2584. 9 indexed citations
11.
Smith, Abigail J., et al.. (2014). Stalled transcription complexes promote DNA repair at a distance. Proceedings of the National Academy of Sciences. 111(11). 4037–4042. 37 indexed citations
12.
Smith, Abigail J., et al.. (2013). The Conserved C-Terminus of the PcrA/UvrD Helicase Interacts Directly with RNA Polymerase. PLoS ONE. 8(10). e78141–e78141. 38 indexed citations
13.
Gorochowski, Thomas E., Antoni Matyjaszkiewicz, Thomas Todd, et al.. (2012). BSim: An Agent-Based Tool for Modeling Bacterial Populations in Systems and Synthetic Biology. PLoS ONE. 7(8). e42790–e42790. 78 indexed citations
14.
Savery, Nigel J.. (2011). Prioritizing the repair of DNA damage that is encountered by RNA polymerase. Transcription. 2(4). 168–172. 8 indexed citations
15.
Smith, Rachel M., et al.. (2009). DNA cleavage and methylation specificity of the single polypeptide restriction–modification enzyme LlaGI. Nucleic Acids Research. 37(21). 7206–7218. 24 indexed citations
16.
Deaconescu, Alexandra M., Nigel J. Savery, & Seth A. Darst. (2007). The bacterial transcription repair coupling factor. Current Opinion in Structural Biology. 17(1). 96–102. 28 indexed citations
17.
Deaconescu, Alexandra M., A. Chambers, Abigail J. Smith, et al.. (2006). Structural Basis for Bacterial Transcription-Coupled DNA Repair. Cell. 124(3). 507–520. 162 indexed citations
18.
Rhodius, Virgil A., Nigel J. Savery, Annie Kolb, & Stephen Busby. (2003). Assays for Transcription Factor Activity. Humana Press eBooks. 148. 451–464. 3 indexed citations
19.
Savery, Nigel J., et al.. (1996). Protein-protein interactions during transcription activation: the case of the Escherichia coli cyclic AMP receptor protein. Philosophical Transactions of the Royal Society B Biological Sciences. 351(1339). 543–550. 27 indexed citations
20.
Belyaeva, Tamara A., Nigel J. Savery, J. G. Hoggett, et al.. (1994). Interactions between the cyclic AMP receptor protein and the Alpha subunit of RNA polymerase at the Escherichia Coli galactose operon P1 Promoter. Nucleic Acids Research. 22(21). 4375–4380. 60 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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