Alexander Dünkler

751 total citations
19 papers, 580 citations indexed

About

Alexander Dünkler is a scholar working on Molecular Biology, Cell Biology and Infectious Diseases. According to data from OpenAlex, Alexander Dünkler has authored 19 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Infectious Diseases. Recurrent topics in Alexander Dünkler's work include Fungal and yeast genetics research (15 papers), Antifungal resistance and susceptibility (5 papers) and Plant-Microbe Interactions and Immunity (3 papers). Alexander Dünkler is often cited by papers focused on Fungal and yeast genetics research (15 papers), Antifungal resistance and susceptibility (5 papers) and Plant-Microbe Interactions and Immunity (3 papers). Alexander Dünkler collaborates with scholars based in Germany, Denmark and Russia. Alexander Dünkler's co-authors include Jürgen Wendland, Andrea Walther, Ronny Martin, Susanne Gola, Nils Johnsson, Charles A. Specht, Judith Müller, R. Rosler, Daniel Moreno-Andrés and Hans A. Kestler and has published in prestigious journals such as The Journal of Cell Biology, Journal of Cell Science and Molecular Microbiology.

In The Last Decade

Alexander Dünkler

19 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Dünkler Germany 13 476 235 135 133 118 19 580
Jaime Correa‐Bordes Spain 13 533 1.1× 200 0.9× 125 0.9× 142 1.1× 244 2.1× 19 678
Josée Ash Canada 10 393 0.8× 236 1.0× 170 1.3× 115 0.9× 96 0.8× 10 588
Christa Gregori Austria 10 323 0.7× 178 0.8× 118 0.9× 92 0.7× 48 0.4× 12 473
Joseph Clemas United States 7 370 0.8× 128 0.5× 90 0.7× 207 1.6× 57 0.5× 7 528
Kurt A. Toenjes United States 11 301 0.6× 124 0.5× 78 0.6× 153 1.2× 115 1.0× 15 459
Haoyu Si United States 8 232 0.5× 131 0.6× 85 0.6× 106 0.8× 93 0.8× 9 343
Daniela Albrecht Germany 10 309 0.6× 163 0.7× 76 0.6× 155 1.2× 56 0.5× 12 505
Kenneth R. Finley United States 7 324 0.7× 175 0.7× 117 0.9× 87 0.7× 119 1.0× 9 445
Encarnación Dueñas Spain 8 545 1.1× 64 0.3× 46 0.3× 245 1.8× 113 1.0× 9 646
J. Ramón De Lucas Spain 12 311 0.7× 115 0.5× 89 0.7× 120 0.9× 73 0.6× 19 492

Countries citing papers authored by Alexander Dünkler

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Dünkler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Dünkler

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

All Works

19 of 19 papers shown
1.
Dünkler, Alexander, et al.. (2021). Type V myosin focuses the polarisome and shapes the tip of yeast cells. The Journal of Cell Biology. 220(5). 12 indexed citations
2.
Dünkler, Alexander, et al.. (2020). Cdc24 interacts with septins to create a positive feedback loop during bud site assembly in yeast. Journal of Cell Science. 133(11). 10 indexed citations
3.
Dünkler, Alexander, et al.. (2020). A time-resolved interaction analysis of Bem1 reconstructs the flow of Cdc42 during polar growth. Life Science Alliance. 3(9). e202000813–e202000813. 6 indexed citations
4.
Wasserstrom, Lisa, Alexander Dünkler, Andrea Walther, & Jürgen Wendland. (2017). The APSES protein Sok2 is a positive regulator of sporulation in Ashbya gossypii. Molecular Microbiology. 106(6). 949–960. 9 indexed citations
5.
Dedden, Dirk, et al.. (2017). The cell polarity proteins Boi1p and Boi2p stimulate vesicle fusion at the plasma membrane of yeast cells. Journal of Cell Science. 130(18). 2996–3008. 15 indexed citations
6.
Dünkler, Alexander, R. Rosler, Hans A. Kestler, Daniel Moreno-Andrés, & Nils Johnsson. (2015). SPLIFF: A Single-Cell Method to Map Protein-Protein Interactions in Time and Space. Methods in molecular biology. 1346. 151–168. 12 indexed citations
7.
Dünkler, Alexander, et al.. (2014). A protein complex containing Epo1p anchors the cortical endoplasmic reticulum to the yeast bud tip. The Journal of Cell Biology. 208(1). 71–87. 20 indexed citations
8.
Moreno-Andrés, Daniel, et al.. (2013). A fluorescent reporter for mapping cellular protein‐protein interactions in time and space. Molecular Systems Biology. 9(1). 647–647. 16 indexed citations
9.
Dünkler, Alexander, Judith Müller, & Nils Johnsson. (2011). Detecting Protein–Protein Interactions with the Split-Ubiquitin Sensor. Methods in molecular biology. 786. 115–130. 26 indexed citations
10.
Wendland, Jürgen, Alexander Dünkler, & Andrea Walther. (2011). Characterization of α-factor pheromone and pheromone receptor genes of Ashbya gossypii. FEMS Yeast Research. 11(5). 418–429. 17 indexed citations
11.
Nussbaumer, Ute, et al.. (2011). A constraint network of interactions: protein–protein interaction analysis of the yeast type II phosphatase Ptc1p and its adaptor protein Nbp2p. Journal of Cell Science. 124(9). 1603–1603. 1 indexed citations
12.
Nussbaumer, Ute, et al.. (2010). A constraint network of interactions: protein–protein interaction analysis of the yeast type II phosphatase Ptc1p and its adaptor protein Nbp2p. Journal of Cell Science. 124(1). 35–46. 29 indexed citations
13.
Dünkler, Alexander, et al.. (2008). An Ashbya gossypii cts2 mutant deficient in a sporulation-specific chitinase can be complemented by Candida albicans CHT4. Microbiological Research. 163(6). 701–710. 22 indexed citations
14.
Dünkler, Alexander, et al.. (2007). A molecular toolbox for manipulating Eremothecium coryli. Microbiological Research. 162(4). 299–307. 9 indexed citations
15.
Dünkler, Alexander & Jürgen Wendland. (2007). Use of MET3 promoters for regulated gene expression in Ashbya gossypii. Current Genetics. 52(1). 1–10. 25 indexed citations
16.
Dünkler, Alexander & Jürgen Wendland. (2007). Candida albicans Rho-Type GTPase-Encoding Genes Required for Polarized Cell Growth and Cell Separation. Eukaryotic Cell. 6(5). 844–854. 36 indexed citations
17.
Dünkler, Alexander, et al.. (2006). New pFA‐cassettes for PCR‐based gene manipulation in Candida albicans. Journal of Basic Microbiology. 46(5). 416–429. 69 indexed citations
18.
Dünkler, Alexander, Andrea Walther, Charles A. Specht, & Jürgen Wendland. (2005). Candida albicans CHT3 encodes the functional homolog of the Cts1 chitinase of Saccharomyces cerevisiae. Fungal Genetics and Biology. 42(11). 935–947. 79 indexed citations
19.
Gola, Susanne, Ronny Martin, Andrea Walther, Alexander Dünkler, & Jürgen Wendland. (2003). New modules for PCR‐based gene targeting in Candida albicans: rapid and efficient gene targeting using 100 bp of flanking homology region. Yeast. 20(16). 1339–1347. 167 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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