Thomas E. Bureau

6.3k total citations
46 papers, 3.4k citations indexed

About

Thomas E. Bureau is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Thomas E. Bureau has authored 46 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 29 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Thomas E. Bureau's work include Chromosomal and Genetic Variations (33 papers), Genomics and Phylogenetic Studies (17 papers) and Plant Disease Resistance and Genetics (12 papers). Thomas E. Bureau is often cited by papers focused on Chromosomal and Genetic Variations (33 papers), Genomics and Phylogenetic Studies (17 papers) and Plant Disease Resistance and Genetics (12 papers). Thomas E. Bureau collaborates with scholars based in Canada, United States and Germany. Thomas E. Bureau's co-authors include Susan R. Wessler, Stephen Wright, Quang Hien Le, Douglas R. Hoen, Donald E. Fosket, Zhihui Yü, L. C. Morejohn, Pamela C. Ronald, A. Bajer and Nikoleta Juretic and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Thomas E. Bureau

46 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas E. Bureau Canada 28 3.0k 2.2k 360 174 102 46 3.4k
John C. Larkin United States 30 2.8k 0.9× 2.8k 1.3× 251 0.7× 256 1.5× 166 1.6× 45 3.6k
Amparo Monfort Spain 26 1.6k 0.5× 1.1k 0.5× 430 1.2× 196 1.1× 85 0.8× 55 2.2k
Nicola Stacey United Kingdom 27 2.2k 0.7× 1.8k 0.8× 100 0.3× 103 0.6× 145 1.4× 37 2.8k
Gurmukh S. Johal United States 30 3.4k 1.1× 1.7k 0.8× 668 1.9× 259 1.5× 144 1.4× 64 3.9k
Norihiro Mitsukawa Japan 17 2.4k 0.8× 2.0k 0.9× 207 0.6× 92 0.5× 64 0.6× 25 2.9k
Meng Yuqi China 4 2.1k 0.7× 2.2k 1.0× 251 0.7× 67 0.4× 98 1.0× 8 3.3k
Huiqiong Lin United States 14 2.2k 0.7× 1.4k 0.6× 441 1.2× 118 0.7× 63 0.6× 20 2.8k
Rebecca Schwab Germany 20 5.8k 1.9× 4.4k 2.0× 165 0.5× 86 0.5× 142 1.4× 31 6.5k
Debasis Chattopadhyay India 30 2.3k 0.8× 943 0.4× 226 0.6× 80 0.5× 143 1.4× 74 2.8k
Christopher A. Cullis United States 32 2.3k 0.8× 1.4k 0.7× 318 0.9× 156 0.9× 285 2.8× 118 2.8k

Countries citing papers authored by Thomas E. Bureau

Since Specialization
Citations

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

Fields of papers citing papers by Thomas E. Bureau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas E. Bureau

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas E. Bureau. A scholar is included among the top collaborators of Thomas E. Bureau 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 Thomas E. Bureau. Thomas E. Bureau 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.
2.
Vello, Emilio, et al.. (2022). Camelina sativa High-Throughput Phenotyping Under Normal and Salt Conditions Using a Plant Phenomics Platform. Methods in molecular biology. 2539. 25–36. 3 indexed citations
3.
Joly‐Lopez, Zoé & Thomas E. Bureau. (2018). Exaptation of transposable element coding sequences. Current Opinion in Genetics & Development. 49. 34–42. 52 indexed citations
4.
Joly‐Lopez, Zoé, Douglas R. Hoen, Mathieu Blanchette, & Thomas E. Bureau. (2016). Phylogenetic and Genomic Analyses Resolve the Origin of Important Plant Genes Derived from Transposable Elements. Molecular Biology and Evolution. 33(8). 1937–1956. 24 indexed citations
5.
Hoen, Douglas R. & Thomas E. Bureau. (2015). Discovery of Novel Genes Derived from Transposable Elements Using Integrative Genomic Analysis. Molecular Biology and Evolution. 32(6). 1487–1506. 44 indexed citations
6.
Hoen, Douglas R., Glenn Hickey, Guillaume Bourque, et al.. (2015). A call for benchmarking transposable element annotation methods. Mobile DNA. 6(1). 13–13. 55 indexed citations
7.
Joly‐Lopez, Zoé & Thomas E. Bureau. (2014). Diversity and evolution of transposable elements in Arabidopsis. Chromosome Research. 22(2). 203–216. 25 indexed citations
8.
Joly‐Lopez, Zoé, et al.. (2012). A Gene Family Derived from Transposable Elements during Early Angiosperm Evolution Has Reproductive Fitness Benefits in Arabidopsis thaliana. PLoS Genetics. 8(9). e1002931–e1002931. 44 indexed citations
9.
Hoen, Douglas R., et al.. (2006). Transposon-Mediated Expansion and Diversification of a Family of ULP-like Genes. Molecular Biology and Evolution. 23(6). 1254–1268. 68 indexed citations
10.
Juretic, Nikoleta, et al.. (2005). The evolutionary fate of MULE-mediated duplications of host gene fragments in rice. Genome Research. 15(9). 1292–1297. 192 indexed citations
11.
Juretic, Nikoleta, Thomas E. Bureau, & Richard Bruskiewich. (2004). Transposable element annotation of the rice genome. Bioinformatics. 20(2). 155–160. 39 indexed citations
12.
Wright, Stephen, et al.. (2003). Effects of Recombination Rate and Gene Density on Transposable Element Distributions in Arabidopsis thaliana. Genome Research. 13(8). 1897–1903. 171 indexed citations
13.
Witte, Claus‐Peter, Quang Hien Le, Thomas E. Bureau, & Amar Kumar. (2001). Terminal-repeat retrotransposons in miniature (TRIM) are involved in restructuring plant genomes. Proceedings of the National Academy of Sciences. 98(24). 13778–13783. 175 indexed citations
14.
Elrouby, Nabil & Thomas E. Bureau. (2001). A Novel Hybrid Open Reading Frame Formed by Multiple Cellular Gene Transductions by a Plant Long Terminal Repeat Retroelement. Journal of Biological Chemistry. 276(45). 41963–41968. 28 indexed citations
15.
Srinivasan, Sujatha, et al.. (2001). Survey of transposable elements from rice genomic sequences. The Plant Journal. 25(2). 169–179. 146 indexed citations
16.
Song, Wen‐Yuan, Liya Pi, Thomas E. Bureau, & Pamela C. Ronald. (1998). Identification and characterization of 14 transposon-like elements in the noncoding regions of members of the Xa21 family of disease resistance genes in rice. Molecular and General Genetics MGG. 258(5). 449–456. 48 indexed citations
17.
Echt, Craig S., et al.. (1992). Molecular analysis of the maize wx-B3 allele indicates that precise excision of the transposable Ac element is rare.. Genetics. 130(2). 377–384. 26 indexed citations
18.
Morejohn, L. C., et al.. (1987). Oryzalin, a dinitroaniline herbicide, binds to plant tubulin and inhibits microtubule polymerization in vitro. Planta. 172(2). 252–264. 317 indexed citations
19.
20.
Morejohn, Louis C., et al.. (1984). Tubulins from different higher plant species are immunologically nonidentical and bind colchicine differentially. Proceedings of the National Academy of Sciences. 81(5). 1440–1444. 79 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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