Michael Bölker

7.0k total citations
76 papers, 4.5k citations indexed

About

Michael Bölker is a scholar working on Molecular Biology, Plant Science and Pharmacology. According to data from OpenAlex, Michael Bölker has authored 76 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Biology, 27 papers in Plant Science and 18 papers in Pharmacology. Recurrent topics in Michael Bölker's work include Fungal and yeast genetics research (37 papers), Plant Reproductive Biology (20 papers) and Plant-Microbe Interactions and Immunity (10 papers). Michael Bölker is often cited by papers focused on Fungal and yeast genetics research (37 papers), Plant Reproductive Biology (20 papers) and Plant-Microbe Interactions and Immunity (10 papers). Michael Bölker collaborates with scholars based in Germany, United States and Norway. Michael Bölker's co-authors include Regine Kahmann, Martin Urban, Johannes Freitag, Björn Sandrock, Julia Ast, Jörg Kämper, Uwe Linne, Holger Hartmann, F. Lottspeich and Tina Romeis and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Michael Bölker

75 papers receiving 4.4k 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 Bölker Germany 38 3.5k 2.1k 869 816 633 76 4.5k
Philippe Silar France 31 1.9k 0.5× 1.5k 0.7× 542 0.6× 537 0.7× 162 0.3× 108 3.0k
Susanne Zeilinger Austria 38 2.5k 0.7× 3.4k 1.6× 1.2k 1.4× 829 1.0× 1.3k 2.0× 86 5.2k
Eduardo A. Espeso Spain 40 3.5k 1.0× 2.5k 1.2× 1.4k 1.7× 1.4k 1.7× 378 0.6× 105 4.9k
Meryl A. Davis Australia 32 1.8k 0.5× 997 0.5× 301 0.3× 700 0.9× 245 0.4× 62 2.3k
James A. Sweigard United States 24 2.3k 0.6× 2.7k 1.3× 1.4k 1.6× 549 0.7× 144 0.2× 38 3.6k
H. B. Deising Germany 41 1.7k 0.5× 4.2k 2.0× 2.1k 2.4× 429 0.5× 185 0.3× 148 5.1k
Mark X. Caddick United Kingdom 31 2.1k 0.6× 1.2k 0.6× 286 0.3× 460 0.6× 171 0.3× 55 2.8k
Daniel J. Ebbole United States 34 2.9k 0.8× 2.6k 1.2× 1.2k 1.3× 848 1.0× 241 0.4× 65 4.3k
Ana M. Calvo United States 39 2.8k 0.8× 3.2k 1.5× 1.2k 1.4× 2.0k 2.5× 223 0.4× 74 5.0k
Hana Sychrová Czechia 32 2.8k 0.8× 1.6k 0.8× 387 0.4× 178 0.2× 535 0.8× 156 3.7k

Countries citing papers authored by Michael Bölker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bölker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bölker

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bölker. A scholar is included among the top collaborators of Michael Bölker 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 Bölker. Michael Bölker 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.
Lam, Jason Chun‐Ho, Lazar Dimitrov, Thomas Heimerl, et al.. (2024). Proteins that carry dual targeting signals can act as tethers between peroxisomes and partner organelles. PLoS Biology. 22(2). e3002508–e3002508. 6 indexed citations
2.
Ast, Julia, et al.. (2022). Two Pex5 Proteins With Different Cargo Specificity Are Critical for Peroxisome Function in Ustilago maydis. Frontiers in Cell and Developmental Biology. 10. 858084–858084. 4 indexed citations
3.
Linne, Uwe, et al.. (2021). Engineering Ustilago maydis for production of tailor-made mannosylerythritol lipids. Metabolic Engineering Communications. 12. e00165–e00165. 35 indexed citations
4.
Shi, Yi‐Ming, et al.. (2020). An Unconventional Melanin Biosynthesis Pathway in Ustilago maydis. Applied and Environmental Microbiology. 87(3). 18 indexed citations
5.
Kahnt, Jörg, et al.. (2020). Peroxisomal targeting of a protein phosphatase type 2C via mitochondrial transit. Nature Communications. 11(1). 2355–2355. 21 indexed citations
6.
Linne, Uwe, et al.. (2019). Elucidation of substrate specificities of decorating enzymes involved in mannosylerythritol lipid production by cross-species complementation. Fungal Genetics and Biology. 130. 91–97. 18 indexed citations
7.
Herzog, Robert, Irina Solovyeva, Michael Bölker, Luis G. Lugones, & Florian Hennicke. (2019). Exploring molecular tools for transformation and gene expression in the cultivated edible mushroom Agrocybe aegerita. Molecular Genetics and Genomics. 294(3). 663–677. 21 indexed citations
8.
Langner, Thorsten, et al.. (2018). The germinal centre kinase Don3 is crucial for unconventional secretion of chitinase Cts1 in Ustilago maydis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1867(12). 140154–140154. 9 indexed citations
9.
Göhre, Vera, Evelyn Vollmeister, Michael Bölker, & Michael Feldbrügge. (2012). Microtubule-dependent membrane dynamics inUstilago maydis. Communicative & Integrative Biology. 5(5). 485–490. 25 indexed citations
10.
Freitag, Johannes, Julia Ast, & Michael Bölker. (2012). Cryptic peroxisomal targeting via alternative splicing and stop codon read-through in fungi. Nature. 485(7399). 522–525. 136 indexed citations
11.
Sandrock, Björn, et al.. (2011). Cla4 kinase triggers destruction of the Rac1-GEF Cdc24 during polarized growth inUstilago maydis. Molecular Biology of the Cell. 22(17). 3253–3262. 21 indexed citations
12.
Pham, Cau D., Zhanyang Yu, Björn Sandrock, et al.. (2009). Ustilago maydis Rho1 and 14-3-3 Homologues Participate in Pathways Controlling Cell Separation and Cell Polarity. Eukaryotic Cell. 8(7). 977–989. 31 indexed citations
13.
Schink, Kay Oliver & Michael Bölker. (2008). Coordination of Cytokinesis and Cell Separation by Endosomal Targeting of a Cdc42-specific Guanine Nucleotide Exchange Factor inUstilago maydis. Molecular Biology of the Cell. 20(3). 1081–1088. 23 indexed citations
14.
García‐Pedrajas, María D., Marina Nadal, Michael Bölker, Scott E. Gold, & Michael H. Perlin. (2008). Sending mixed signals: Redundancy vs. uniqueness of signaling components in the plant pathogen, Ustilago maydis. Fungal Genetics and Biology. 45. S22–S30. 19 indexed citations
15.
Böhmer, Maik, et al.. (2007). Cdc42 and the Ste20-like kinase Don3 act independently in triggering cytokinesis in Ustilago maydis. Journal of Cell Science. 121(2). 143–148. 40 indexed citations
16.
Bölker, Michael. (1998). Sex and Crime: Heterotrimeric G Proteins in Fungal Mating and Pathogenesis. Fungal Genetics and Biology. 25(3). 143–156. 180 indexed citations
17.
Krüger, Julia, et al.. (1997). A MADS-Box Homologue in Ustilago maydis Regulates the Expression of Pheromone-Inducible Genes but Is Nonessential. Genetics. 147(4). 1643–1652. 17 indexed citations
18.
Kahmann, Regine & Michael Bölker. (1996). Self/Nonself Recognition in Fungi: Old Mysteries and Simple Solutions. Cell. 85(2). 145–148. 37 indexed citations
19.
Bölker, Michael, Martin Urban, & Regine Kahmann. (1992). The a mating type locus of U. maydis specifies cell signaling components. Cell. 68(3). 441–450. 298 indexed citations
20.
Gillissen, Bernhard, et al.. (1992). A two-component regulatory system for self/non-self recognition in Ustilago maydis. Cell. 68(4). 647–657. 253 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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