Michael Bevan

31.6k total citations · 3 hit papers
138 papers, 21.5k citations indexed

About

Michael Bevan is a scholar working on Plant Science, Molecular Biology and Biotechnology. According to data from OpenAlex, Michael Bevan has authored 138 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Plant Science, 106 papers in Molecular Biology and 26 papers in Biotechnology. Recurrent topics in Michael Bevan's work include Plant tissue culture and regeneration (48 papers), Plant Molecular Biology Research (41 papers) and Chromosomal and Genetic Variations (29 papers). Michael Bevan is often cited by papers focused on Plant tissue culture and regeneration (48 papers), Plant Molecular Biology Research (41 papers) and Chromosomal and Genetic Variations (29 papers). Michael Bevan collaborates with scholars based in United Kingdom, United States and Germany. Michael Bevan's co-authors include Richard Jefferson, Tony A. Kavanagh, Caroline Smith, Yunhai Li, Mary-Dell Chilton, Wayne M. Barnes, Fred Rook, Fiona Corke, Wolfgang Schuch and R. B. Flavell and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael Bevan

138 papers receiving 20.6k citations

Hit Papers

GUS fusions: beta-glucuronidase as a sensitive and versat... 1984 2026 1998 2012 1987 1984 1998 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Bevan United Kingdom 61 17.3k 15.7k 4.2k 1.2k 586 138 21.5k
Jeff Schell Germany 90 20.3k 1.2× 19.5k 1.2× 5.5k 1.3× 906 0.8× 343 0.6× 307 26.6k
Eugene W. Nester United States 77 11.3k 0.7× 14.2k 0.9× 5.0k 1.2× 1.9k 1.6× 269 0.5× 213 18.1k
Ko Shimamoto Japan 75 16.8k 1.0× 11.1k 0.7× 1.4k 0.3× 2.7k 2.3× 325 0.6× 174 18.9k
Gynheung An South Korea 96 22.3k 1.3× 15.7k 1.0× 1.7k 0.4× 3.5k 2.9× 525 0.9× 376 26.8k
Ann Depicker Belgium 49 8.1k 0.5× 8.9k 0.6× 3.2k 0.8× 697 0.6× 232 0.4× 153 12.0k
Paul J. J. Hooykaas Netherlands 62 10.4k 0.6× 11.0k 0.7× 3.3k 0.8× 784 0.7× 300 0.5× 198 14.7k
Bernd Weißhaar Germany 62 15.0k 0.9× 17.0k 1.1× 937 0.2× 936 0.8× 337 0.6× 165 21.7k
John Mundy Denmark 61 12.2k 0.7× 8.4k 0.5× 1.7k 0.4× 279 0.2× 327 0.6× 118 14.8k
Imre E. Somssich Germany 56 15.7k 0.9× 12.3k 0.8× 1.1k 0.3× 343 0.3× 387 0.7× 90 18.7k
William F. Thompson United States 49 13.3k 0.8× 10.3k 0.7× 1.4k 0.3× 3.3k 2.7× 334 0.6× 169 18.1k

Countries citing papers authored by Michael Bevan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bevan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bevan. A scholar is included among the top collaborators of Michael Bevan 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 Michael Bevan. Michael Bevan 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.
Gu, Benguo, Fernando A. Rabanal, Caroline Smith, et al.. (2023). The integrated LIM-peptidase domain of the CSA1-CHS3/DAR4 paired immune receptor detects changes in DA1 peptidase inhibitors in Arabidopsis. Cell Host & Microbe. 31(6). 949–961.e5. 5 indexed citations
2.
Varshney, Rajeev K., Abhishek Bohra, Manish Roorkiwal, et al.. (2021). Fast-forward breeding for a food-secure world. Trends in Genetics. 37(12). 1124–1136. 95 indexed citations
3.
Lu, Fu-Hao, Neil McKenzie, Laura‐Jayne Gardiner, et al.. (2020). Reduced chromatin accessibility underlies gene expression differences in homologous chromosome arms of diploid Aegilops tauschii and hexaploid wheat. GigaScience. 9(6). 23 indexed citations
4.
Wells, Rachel, Neil McKenzie, Martin Trick, et al.. (2019). Variation in Expression of the HECT E3 Ligase UPL3 Modulates LEC2 Levels, Seed Size, and Crop Yields in Brassica napus. The Plant Cell. 31(10). 2370–2385. 46 indexed citations
5.
Lu, Fu-Hao, Neil McKenzie, George Kettleborough, et al.. (2018). Independent assessment and improvement of wheat genome sequence assemblies using Fosill jumping libraries. GigaScience. 7(5). 9 indexed citations
6.
Bevan, Michael, Cristóbal Uauy, Brande B. H. Wulff, et al.. (2017). Genomic innovation for crop improvement. Nature. 543(7645). 346–354. 252 indexed citations
8.
Li, Yunhai, Caroline Smith, Fiona Corke, et al.. (2007). Signaling from an Altered Cell Wall to the Nucleus Mediates Sugar-Responsive Growth and Development in Arabidopsis thaliana. The Plant Cell. 19(8). 2500–2515. 51 indexed citations
9.
Bevan, Michael & Robbie Waugh. (2007). Applying plant genomics to crop improvement.. Genome Biology. 8(2). 302–302. 9 indexed citations
10.
Li, Yunhai, Kee Khoon Lee, Sean Walsh, et al.. (2006). Establishing glucose- and ABA-regulated transcription networks in Arabidopsis by microarray analysis and promoter classification using a Relevance Vector Machine. Genome Research. 16(3). 414–427. 207 indexed citations
11.
Bevan, Michael & Sean Walsh. (2006). 4 The Arabidopsis Genome: A Foundation for Plant Research. Cold Spring Harbor Monograph Archive. 46. 71–96. 6 indexed citations
12.
Lee, Kee Khoon, Gavin C. Cawley, & Michael Bevan. (2005). Sparse Bayesian promoter based gene classification. UEA Digital Repository (University of East Anglia). 527–532. 1 indexed citations
13.
Penfield, Steven, et al.. (2001). MYB61 Is Required for Mucilage Deposition and Extrusion in the Arabidopsis Seed Coat. The Plant Cell. 13(12). 2777–2791. 252 indexed citations
14.
Q, Lin & Michael Bevan. (1999). Nucleotide Sequence Analysis of THM6 (Accession No. X99134): a Myb-Related cDNA from Tomato (Lycopersicon esculentum cv Ailsa Craig). (PGR99-116).. PLANT PHYSIOLOGY. 120(4). 1206–1206. 8 indexed citations
15.
Johnson, Samantha, et al.. (1999). Identification and analysis of homoeologous segments of the genomes of rice and <i>Arabidopsis thaliana</i>. Genome. 42(5). 887–892. 13 indexed citations
16.
Bevan, Michael, B. D. Harrison, & C. J. Leaver. (1994). The production and uses of genetically transformed plants.. Chapman & Hall eBooks. 12 indexed citations
17.
Iturriaga, Gabriel, Richard Jefferson, & Michael Bevan. (1989). Endoplasmic Reticulum Targeting and Glycosylation of Hybrid Proteins in Transgenic Tobacco. The Plant Cell. 1(3). 381–381. 2 indexed citations
18.
James, D. J., et al.. (1989). Genetic transformation of apple (Malus pumila Mill.) using a disarmed Ti-binary vector. Plant Cell Reports. 7(8). 658–661. 181 indexed citations
19.
Bevan, Michael, Richard F. Barker, Andrew P. Goldsbrough, et al.. (1986). The structure and transcription start site of major potato tuber protine gene. Nucleic Acids Research. 14(11). 4625–4638. 79 indexed citations
20.
Bevan, Michael, et al.. (1985). Expression of tobacco mosaic virus coat protein by a cauliflower mosaic virus promoter in plants transformed by Agrobacterium. The EMBO Journal. 4(8). 1921–1926. 54 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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