Michael C. Bester

443 total citations
11 papers, 327 citations indexed

About

Michael C. Bester is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Michael C. Bester has authored 11 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 4 papers in Cell Biology. Recurrent topics in Michael C. Bester's work include Fungal and yeast genetics research (7 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fermentation and Sensory Analysis (3 papers). Michael C. Bester is often cited by papers focused on Fungal and yeast genetics research (7 papers), Plant Pathogens and Fungal Diseases (4 papers) and Fermentation and Sensory Analysis (3 papers). Michael C. Bester collaborates with scholars based in South Africa, Australia and France. Michael C. Bester's co-authors include Florian F. Bauer, Patrick Govender, Isak S. Pretorius, L. Mostert, F. Halleen, Dan Jacobson, Dewald van Dyk, Carolien Franken and Celeste C. Linde and has published in prestigious journals such as Applied and Environmental Microbiology, Molecular Microbiology and Applied Microbiology and Biotechnology.

In The Last Decade

Michael C. Bester

10 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael C. Bester South Africa 8 260 157 123 77 41 11 327
David M. Coons United States 9 433 1.7× 63 0.4× 146 1.2× 110 1.4× 66 1.6× 11 517
Anja Brickwedde Netherlands 7 346 1.3× 209 1.3× 133 1.1× 134 1.7× 16 0.4× 8 432
Aditi Sharma India 5 142 0.5× 61 0.4× 210 1.7× 55 0.7× 101 2.5× 15 387
Rungluk Kaewwichian Thailand 11 271 1.0× 141 0.9× 179 1.5× 24 0.3× 166 4.0× 24 344
Pilar de la Torre Cortés Netherlands 9 273 1.1× 100 0.6× 71 0.6× 65 0.8× 16 0.4× 11 342
Carl A. Westby United States 14 308 1.2× 82 0.5× 96 0.8× 250 3.2× 14 0.3× 28 475
M. Korhola Finland 9 331 1.3× 212 1.4× 115 0.9× 99 1.3× 24 0.6× 14 396
Shulei Jia China 10 99 0.4× 93 0.6× 100 0.8× 35 0.5× 48 1.2× 23 278
Tayvich Vorapreeda Thailand 9 252 1.0× 77 0.5× 23 0.2× 65 0.8× 12 0.3× 14 321
Sabine Gognies France 10 131 0.5× 76 0.5× 316 2.6× 72 0.9× 107 2.6× 15 413

Countries citing papers authored by Michael C. Bester

Since Specialization
Citations

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

Fields of papers citing papers by Michael C. Bester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael C. Bester

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

All Works

11 of 11 papers shown
1.
Halleen, F., et al.. (2022). Predominant Clonal Reproduction with Infrequent Genetic Recombination of Phaeoacremonium minimum in Western Cape Vineyards. Microbial Ecology. 86(2). 887–899. 1 indexed citations
2.
Halleen, F., et al.. (2020). Investigation of Trichoderma species colonization of nursery grapevines for improved management of black foot disease. Pest Management Science. 77(1). 397–405. 16 indexed citations
3.
Mostert, L., et al.. (2016). Trunk Disease Fungi Associated With Diospyros kaki in South Africa. Plant Disease. 100(12). 2383–2393. 14 indexed citations
4.
Bester, Michael C., F. Halleen, & L. Mostert. (2015). A PCR detection system for South African basidiomycetous isolates from esca affected grapevine. Australasian Plant Pathology. 44(6). 647–651. 1 indexed citations
5.
Bester, Michael C., Dan Jacobson, & Florian F. Bauer. (2012). ManySaccharomyces cerevisiaeCell Wall Protein Encoding Genes Are Coregulated by Mss11, but Cellular Adhesion Phenotypes Appear Only Flo Protein Dependent. G3 Genes Genomes Genetics. 2(1). 131–141. 22 indexed citations
6.
Bauer, Florian F., Patrick Govender, & Michael C. Bester. (2010). Yeast flocculation and its biotechnological relevance. Applied Microbiology and Biotechnology. 88(1). 31–39. 49 indexed citations
7.
Govender, Patrick, Michael C. Bester, & Florian F. Bauer. (2009). FLO gene-dependent phenotypes in industrial wine yeast strains. Applied Microbiology and Biotechnology. 86(3). 931–945. 43 indexed citations
8.
Govender, Patrick, et al.. (2008). Controlled Expression of the Dominant Flocculation Genes FLO1 , FLO5 , and FLO11 in Saccharomyces cerevisiae. Applied and Environmental Microbiology. 74(19). 6041–6052. 96 indexed citations
9.
Bester, Michael C., Isak S. Pretorius, & Florian F. Bauer. (2006). The regulation of Saccharomyces cerevisiae FLO gene expression and Ca2+-dependent flocculation by Flo8p and Mss11p. Current Genetics. 49(6). 375–383. 51 indexed citations
10.
Bauer, Florian F., et al.. (2003). The functional dissection of Mss11p, a transcription factor regulating pseudohyphal differentiation, invasive growth and starch metabolism in Saccharomyces cerevisiae ..

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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