Jon R. Sayers

2.6k total citations
61 papers, 2.1k citations indexed

About

Jon R. Sayers is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Jon R. Sayers has authored 61 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 20 papers in Ecology and 12 papers in Genetics. Recurrent topics in Jon R. Sayers's work include DNA and Nucleic Acid Chemistry (26 papers), Bacteriophages and microbial interactions (16 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Jon R. Sayers is often cited by papers focused on DNA and Nucleic Acid Chemistry (26 papers), Bacteriophages and microbial interactions (16 papers) and Advanced biosensing and bioanalysis techniques (15 papers). Jon R. Sayers collaborates with scholars based in United Kingdom, Germany and United States. Jon R. Sayers's co-authors include Fritz Eckstein, Walter Schmidt, Peter A. Williams, T.A. Ceska, Dietrich Suck, F. Eckstein, Günter Stier, Andrew N. J. McKenzie, Padraic G. Fallon and Caitríona M. Walsh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jon R. Sayers

61 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon R. Sayers United Kingdom 23 1.3k 384 310 216 216 61 2.1k
Marc Lauwereys Belgium 23 2.4k 1.8× 251 0.7× 253 0.8× 666 3.1× 85 0.4× 39 3.7k
Balaji Prakash India 23 1.1k 0.9× 252 0.7× 109 0.4× 231 1.1× 53 0.2× 56 1.8k
M G Peterson Australia 22 985 0.7× 410 1.1× 136 0.4× 410 1.9× 223 1.0× 29 2.2k
Nicole T. Liberati United States 17 3.2k 2.4× 946 2.5× 368 1.2× 218 1.0× 45 0.2× 19 4.0k
Xiaomei Bai United States 18 1.0k 0.8× 298 0.8× 108 0.3× 222 1.0× 44 0.2× 26 2.0k
Germán L. Rosano Argentina 12 1.9k 1.4× 448 1.2× 272 0.9× 148 0.7× 34 0.2× 24 2.4k
Lenka Hernychová Czechia 25 1.1k 0.8× 264 0.7× 187 0.6× 171 0.8× 75 0.3× 95 1.6k
Norbert Polacek Switzerland 32 3.2k 2.4× 531 1.4× 226 0.7× 154 0.7× 44 0.2× 75 3.7k
Tammy Latifi United States 21 1.2k 0.9× 860 2.2× 235 0.8× 118 0.5× 22 0.1× 24 2.3k
E. S. Lennox United Kingdom 22 2.4k 1.8× 1.3k 3.3× 702 2.3× 390 1.8× 52 0.2× 57 4.0k

Countries citing papers authored by Jon R. Sayers

Since Specialization
Citations

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

Fields of papers citing papers by Jon R. Sayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jon R. Sayers

This figure shows the co-authorship network connecting the top 25 collaborators of Jon R. Sayers. A scholar is included among the top collaborators of Jon R. Sayers 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 Jon R. Sayers. Jon R. Sayers 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.
Bowden, Neil, Céline Souilhol, Hisham M. Darwish, et al.. (2025). Endothelial c-REL orchestrates atherosclerosis at regions of disturbed flow through crosstalk with TXNIP-p38 and non-canonical NF-κB pathways. Cardiovascular Research. 121(5). 748–759. 2 indexed citations
2.
Wright, Rosanna C. T., et al.. (2022). Antibiotics Limit Adaptation of Drug-Resistant Staphylococcus aureus to Hypoxia. Antimicrobial Agents and Chemotherapy. 66(12). e0092622–e0092622. 5 indexed citations
3.
Price, Helen P., et al.. (2017). Schistosoma mansonicercarial elastase (SmCE): differences in immunogenic properties of native and recombinant forms. Parasitology. 144(10). 1356–1364. 13 indexed citations
4.
Sayers, Jon R., et al.. (2016). Bacteriophage T5 gene D10 encodes a branch-migration protein. Scientific Reports. 6(1). 39414–39414. 2 indexed citations
5.
Hemsworth, G.R., M.R.G. Hodskinson, Jing Zhang, et al.. (2013). The structure of Escherichia coli ExoIX—implications for DNA binding and catalysis in flap endonucleases. Nucleic Acids Research. 41(17). 8357–8367. 12 indexed citations
6.
Sayers, Jon R., et al.. (2013). Characterization of an unusual bipolar helicase encoded by bacteriophage T5. Nucleic Acids Research. 41(8). 4587–4600. 3 indexed citations
7.
Sayers, Jon R., et al.. (2007). Investigating the Interaction between Osteoprotegerin and Receptor Activator of NF-κB or Tumor Necrosis Factor-related Apoptosis-inducing Ligand. Journal of Biological Chemistry. 282(43). 31601–31609. 99 indexed citations
8.
Hodskinson, M.R.G., et al.. (2007). Molecular interactions of Escherichia coli ExoIX and identification of its associated 3'-5' exonuclease activity. Nucleic Acids Research. 35(12). 4094–4102. 13 indexed citations
9.
Smith, Philip, Caitríona M. Walsh, Niamh E. Mangan, et al.. (2004). Schistosoma mansoni Worms Induce Anergy of T Cells via Selective Up-Regulation of Programmed Death Ligand 1 on Macrophages. The Journal of Immunology. 173(2). 1240–1248. 166 indexed citations
10.
Feng, Min, et al.. (2004). Roles of divalent metal ions in flap endonuclease–substrate interactions. Nature Structural & Molecular Biology. 11(5). 450–456. 46 indexed citations
11.
Tock, Mark R., et al.. (2003). Dynamic evidence for metal ion catalysis in the reaction mediated by a flap endonuclease. The EMBO Journal. 22(5). 995–1004. 28 indexed citations
12.
Darani, Hossein Yousofi, et al.. (1997). Schistosoma mansoni: anomalous immunogenic properties of a 27 kDa larval serine protease associated with protective immunity. Parasitology. 115(3). 237–247. 26 indexed citations
13.
Ceska, T.A., Jon R. Sayers, Günter Stier, & Dietrich Suck. (1996). A helical arch allowing single-stranded DNA to thread through T5 5'-exonuclease. Nature. 382(6586). 90–93. 166 indexed citations
14.
Sayers, Jon R., et al.. (1996). Identification and Eradication of a Denatured DNA Isolated during Alkaline Lysis-Based Plasmid Purification Procedures. Analytical Biochemistry. 241(2). 186–189. 23 indexed citations
15.
16.
Williams, Peter A. & Jon R. Sayers. (1994). The evolution of pathways for aromatic hydrocarbon oxidation inPseudomonas. Biodegradation. 5(3-4). 195–217. 171 indexed citations
17.
Olsen, David B., Jon R. Sayers, & Fritz Eckstein. (1993). [13] Site-directed mutagenesis of single-stranded and double-stranded DNA by phosphorothioate approach. Methods in enzymology on CD-ROM/Methods in enzymology. 217. 189–217. 11 indexed citations
18.
Assinder, Susan J., et al.. (1992). Identical resolvases are encoded by Pseudomonas TOL plasmids pWW53 and pDK1. Nucleic Acids Research. 20(20). 5476–5476. 8 indexed citations
19.
Sayers, Jon R., David B. Olsen, & Fritz Eckstein. (1989). Inhibition of restriction endonuclease hydrolysis by phosphorothioate-containing DNA. Nucleic Acids Research. 17(22). 9495–9495. 16 indexed citations
20.
Sayers, Jon R., Walter Schmidt, & Fritz Eckstein. (1988). 5′–3′ Exonucleases in phosphorothioate-based oligonucleotide-directed mutagenesis. Nucleic Acids Research. 16(3). 791–802. 308 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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