Peter Burton

2.0k total citations
8 papers, 376 citations indexed

About

Peter Burton is a scholar working on Epidemiology, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Peter Burton has authored 8 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Molecular Biology and 2 papers in Organic Chemistry. Recurrent topics in Peter Burton's work include CRISPR and Genetic Engineering (4 papers), Trypanosoma species research and implications (3 papers) and Biochemical and Molecular Research (2 papers). Peter Burton is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Trypanosoma species research and implications (3 papers) and Biochemical and Molecular Research (2 papers). Peter Burton collaborates with scholars based in United Kingdom, Switzerland and Germany. Peter Burton's co-authors include Richard McCulloch, J. David Barry, Michael L. Ginger, Michael Boshart, Erik Vassella, Colin Conway, Chris Proudfoot, Jonathan Wilkes, David J. McBride and Clyde Thornsberry and has published in prestigious journals such as Biochemical Journal, Molecular Microbiology and Biochemical Society Transactions.

In The Last Decade

Peter Burton

8 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Burton United Kingdom 6 253 186 123 68 61 8 376
Thomas Häusler Germany 8 245 1.0× 290 1.6× 114 0.9× 37 0.5× 45 0.7× 10 456
Sebastian Hutchinson United Kingdom 13 412 1.6× 234 1.3× 266 2.2× 64 0.9× 65 1.1× 18 532
Séverine Monnerat Switzerland 14 347 1.4× 143 0.8× 413 3.4× 104 1.5× 31 0.5× 19 576
Carol L. Eisenberger Israel 11 326 1.3× 72 0.4× 514 4.2× 95 1.4× 42 0.7× 12 631
J D Barry United States 7 274 1.1× 149 0.8× 168 1.4× 61 0.9× 41 0.7× 9 360
Joanne Heng Australia 7 225 0.9× 117 0.6× 185 1.5× 154 2.3× 17 0.3× 8 352
Palmira Guevara Venezuela 17 458 1.8× 141 0.8× 391 3.2× 132 1.9× 70 1.1× 33 655
Zuleima Caballero Panama 9 231 0.9× 79 0.4× 197 1.6× 110 1.6× 25 0.4× 12 390
Pamela Cribb Argentina 13 172 0.7× 227 1.2× 80 0.7× 19 0.3× 44 0.7× 27 348
André Luiz Pedrosa Brazil 13 256 1.0× 57 0.3× 146 1.2× 148 2.2× 19 0.3× 32 410

Countries citing papers authored by Peter Burton

Since Specialization
Citations

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

Fields of papers citing papers by Peter Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Burton. 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 Peter Burton. The network helps show where Peter Burton may publish in the future.

Co-authorship network of co-authors of Peter Burton

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

All Works

8 of 8 papers shown
1.
Burton, Peter, David R. Adams, Zhong‐Tao Jiang, et al.. (2010). Erythro-9-(2-hydroxy-3-nonyl)adenine (EHNA) blocks differentiation and maintains the expression of pluripotency markers in human embryonic stem cells. Biochemical Journal. 432(3). 575–599. 4 indexed citations
2.
Burton, Peter, David R. Adams, Zhong‐Tao Jiang, et al.. (2010). Identification and characterization of small-molecule ligands that maintain pluripotency of human embryonic stem cells. Biochemical Society Transactions. 38(4). 1058–1061. 9 indexed citations
3.
Burton, Peter, David J. McBride, Jonathan Wilkes, J. David Barry, & Richard McCulloch. (2007). Ku Heterodimer-Independent End Joining inTrypanosoma bruceiCell Extracts Relies upon Sequence Microhomology. Eukaryotic Cell. 6(10). 1773–1781. 49 indexed citations
4.
McCulloch, Richard, Erik Vassella, Peter Burton, Michael Boshart, & J. David Barry. (2004). Transformation of Monomorphic and Pleomorphic <I>Trypanosoma brucei</I>. Humana Press eBooks. 262. 53–86. 80 indexed citations
5.
Barry, J. David, Michael L. Ginger, Peter Burton, & Richard McCulloch. (2003). Why are parasite contingency genes often associated with telomeres?. International Journal for Parasitology. 33(1). 29–45. 143 indexed citations
6.
Conway, Colin, Chris Proudfoot, Peter Burton, J. David Barry, & Richard McCulloch. (2002). Two pathways of homologous recombination in Trypanosoma brucei. Molecular Microbiology. 45(6). 1687–1700. 63 indexed citations
7.
Thornsberry, Clyde, et al.. (1996). Activity of penicillin and three third-generation cephalosporins against US isolates of Streptococcus pneumoniae: A 1995 surveillance study. Diagnostic Microbiology and Infectious Disease. 25(2). 89–95. 23 indexed citations
8.
Brown, Steven D., A L Barry, & Peter Burton. (1996). Susceptibility surveillance of U.S. respiratory pathogen isolates to newer macrolide and azalide antibiotics. International Journal of Antimicrobial Agents. 7(1). 53–58. 5 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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