Edward Burnett

1.5k total citations · 1 hit paper
10 papers, 961 citations indexed

About

Edward Burnett is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Edward Burnett has authored 10 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Immunology. Recurrent topics in Edward Burnett's work include RNA modifications and cancer (2 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Molecular Biology Research (2 papers). Edward Burnett is often cited by papers focused on RNA modifications and cancer (2 papers), Plant Stress Responses and Tolerance (2 papers) and Plant Molecular Biology Research (2 papers). Edward Burnett collaborates with scholars based in United Kingdom, Australia and United States. Edward Burnett's co-authors include William Cookson, Wei Chen, Kenny Wong, Anna Dixon, Liming Liang, G.M. Lathrop, Gonçalo R. Abecasis, Miriam F. Moffatt, Martin Farrall and Simon Heath and has published in prestigious journals such as Nature Genetics, PLoS ONE and Scientific Reports.

In The Last Decade

Edward Burnett

10 papers receiving 942 citations

Hit Papers

A genome-wide association study of global gene expression 2007 2026 2013 2019 2007 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edward Burnett United Kingdom 7 481 344 156 127 73 10 961
Bowen Wang China 21 380 0.8× 138 0.4× 99 0.6× 90 0.7× 95 1.3× 60 922
H.‐J. Glander Germany 19 460 1.0× 205 0.6× 100 0.6× 131 1.0× 29 0.4× 77 1.8k
Sakthivel Vaiyapuri United Kingdom 25 546 1.1× 705 2.0× 76 0.5× 202 1.6× 35 0.5× 89 1.6k
Kimberly R. Kukurba United States 7 523 1.1× 184 0.5× 71 0.5× 68 0.5× 165 2.3× 7 841
Hye‐Yeon Hwang South Korea 20 709 1.5× 194 0.6× 78 0.5× 90 0.7× 41 0.6× 40 1.1k
Priyanka Sharma India 16 698 1.5× 133 0.4× 356 2.3× 113 0.9× 113 1.5× 35 1.3k
Dong Il Jin South Korea 21 712 1.5× 298 0.9× 69 0.4× 103 0.8× 42 0.6× 88 1.4k
C. Puissant France 17 754 1.6× 499 1.5× 110 0.7× 139 1.1× 66 0.9× 37 1.3k
Weihua Chang China 14 680 1.4× 698 2.0× 237 1.5× 116 0.9× 223 3.1× 26 1.4k

Countries citing papers authored by Edward Burnett

Since Specialization
Citations

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

Fields of papers citing papers by Edward Burnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Burnett

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

All Works

10 of 10 papers shown
1.
Dhayal, Shalinee, Jessica L. Hill, Kyle C. A. Wedgwood, et al.. (2021). Investigation of the utility of the 1.1B4 cell as a model human beta cell line for study of persistent enteroviral infection. Scientific Reports. 11(1). 15624–15624. 5 indexed citations
2.
Capes‐Davis, Amanda, Amos Bairoch, Tanya Barrett, et al.. (2019). Cell Lines as Biological Models: Practical Steps for More Reliable Research. Chemical Research in Toxicology. 32(9). 1733–1736. 12 indexed citations
3.
Korch, Christopher, Wilhelm G. Dirks, Mark B. Faries, et al.. (2017). Authentication of M14 melanoma cell line proves misidentification of MDA‐MB‐435 breast cancer cell line. International Journal of Cancer. 142(3). 561–572. 38 indexed citations
4.
Burnett, Edward, Karen E. Kempsell, Franco Conforti, et al.. (2016). Long Term Culture of the A549 Cancer Cell Line Promotes Multilamellar Body Formation and Differentiation towards an Alveolar Type II Pneumocyte Phenotype. PLoS ONE. 11(10). e0164438–e0164438. 95 indexed citations
5.
Alexander, Sarah, Edward Burnett, Karen Oliver, et al.. (2016). Complete Genome Sequence of Neisseria weaveri Strain NCTC13585. Genome Announcements. 4(4). 1 indexed citations
6.
Alexander, Sarah, Edward Burnett, Karen Oliver, et al.. (2016). Complete Genome Sequence of Plesiomonas shigelloides Type Strain NCTC10360. Genome Announcements. 4(5). 5 indexed citations
7.
Baker, Kate S., Edward Burnett, Christine J. Boinett, et al.. (2015). The Murray collection of pre-antibiotic era Enterobacteriacae: a unique research resource. Genome Medicine. 7(1). 97–97. 30 indexed citations
8.
Dixon, Anna, Liming Liang, Miriam F. Moffatt, et al.. (2007). A genome-wide association study of global gene expression. Nature Genetics. 39(10). 1202–1207. 632 indexed citations breakdown →
9.
Burnett, Edward, Radhika Desikan, Rosita Moser, & Steven J. Neill. (2000). ABA activation of an MBP kinase in Pisum sativum epidermal peels correlates with stomatal responses to ABA. Journal of Experimental Botany. 51(343). 197–205. 101 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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