Jörg Kämper

5.3k total citations
43 papers, 2.9k citations indexed

About

Jörg Kämper is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Jörg Kämper has authored 43 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 26 papers in Plant Science and 8 papers in Cell Biology. Recurrent topics in Jörg Kämper's work include Fungal and yeast genetics research (31 papers), Plant-Microbe Interactions and Immunity (11 papers) and Plant Reproductive Biology (11 papers). Jörg Kämper is often cited by papers focused on Fungal and yeast genetics research (31 papers), Plant-Microbe Interactions and Immunity (11 papers) and Plant Reproductive Biology (11 papers). Jörg Kämper collaborates with scholars based in Germany, United Kingdom and United States. Jörg Kämper's co-authors include Regine Kahmann, Ramon Wahl, Andreas Brachmann, Michael Bölker, Tina Romeis, Gerhard Weinzierl, Miroslav Vraneš, Michael Feldbrügge, Jan Schirawski and Norbert Sauer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jörg Kämper

41 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jörg Kämper Germany 27 2.0k 1.9k 718 348 257 43 2.9k
James A. Sweigard United States 24 2.3k 1.1× 2.7k 1.4× 1.4k 2.0× 549 1.6× 144 0.6× 38 3.6k
Meryl A. Davis Australia 32 1.8k 0.9× 997 0.5× 301 0.4× 700 2.0× 245 1.0× 62 2.3k
Mark X. Caddick United Kingdom 31 2.1k 1.1× 1.2k 0.6× 286 0.4× 460 1.3× 171 0.7× 55 2.8k
Henrik Nordberg United States 10 1.2k 0.6× 975 0.5× 425 0.6× 426 1.2× 271 1.1× 14 2.1k
Ulrich Güldener Germany 29 2.7k 1.4× 1.7k 0.9× 1.1k 1.6× 482 1.4× 402 1.6× 52 4.1k
A. J. Clutterbuck United Kingdom 23 1.4k 0.7× 949 0.5× 511 0.7× 526 1.5× 148 0.6× 42 1.9k
Takayuki Motoyama Japan 23 1.0k 0.5× 1.0k 0.5× 392 0.5× 477 1.4× 81 0.3× 60 1.7k
Hitoshi Nakayashiki Japan 37 1.9k 0.9× 3.6k 1.9× 1.3k 1.8× 192 0.6× 108 0.4× 102 4.2k
S. Mayama Japan 38 1.8k 0.9× 3.4k 1.8× 1.2k 1.7× 157 0.5× 106 0.4× 106 4.1k
Yasuyuki Kubo Japan 37 1.6k 0.8× 3.1k 1.6× 1.7k 2.4× 530 1.5× 106 0.4× 105 3.9k

Countries citing papers authored by Jörg Kämper

Since Specialization
Citations

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

Fields of papers citing papers by Jörg Kämper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Kämper

This figure shows the co-authorship network connecting the top 25 collaborators of Jörg Kämper. A scholar is included among the top collaborators of Jörg Kämper 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 Jörg Kämper. Jörg Kämper 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.
Zhou, Lu, et al.. (2018). Cytoplasmic Transport Machinery of the SPF27 Homologue Num1 in Ustilago maydis. Scientific Reports. 8(1). 3611–3611. 13 indexed citations
2.
Riquelme, Meritxell, Jesús Aguirre, Salomón Bartnicki-Garcı́a, et al.. (2018). Fungal Morphogenesis, from the Polarized Growth of Hyphae to Complex Reproduction and Infection Structures. Microbiology and Molecular Biology Reviews. 82(2). 243 indexed citations
3.
Schüler, David, et al.. (2018). Galactose metabolism and toxicity in Ustilago maydis. Fungal Genetics and Biology. 114. 42–52. 20 indexed citations
4.
Kämper, Jörg, et al.. (2015). Uniparental mitochondrial DNA inheritance is not affected in Ustilago maydis Δatg11 mutants blocked in mitophagy. BMC Microbiology. 15(1). 23–23. 9 indexed citations
5.
Wahl, Ramon, et al.. (2010). A Novel High-Affinity Sucrose Transporter Is Required for Virulence of the Plant Pathogen Ustilago maydis. PLoS Biology. 8(2). e1000303–e1000303. 172 indexed citations
6.
Mendoza‐Mendoza, Artemio, Patrick Berndt, Armin Djamei, et al.. (2008). Physical‐chemical plant‐derived signals induce differentiation in Ustilago maydis. Molecular Microbiology. 71(4). 895–911. 105 indexed citations
7.
Doehlemann, Gunther, Ramon Wahl, Robin J. Horst, et al.. (2008). Reprogramming a maize plant: transcriptional and metabolic changes induced by the fungal biotroph Ustilago maydis. The Plant Journal. 56(2). 181–195. 267 indexed citations
8.
Doehlemann, Gunther, Ramon Wahl, Miroslav Vraneš, et al.. (2007). Establishment of compatibility in the Ustilago maydis/maize pathosystem. Journal of Plant Physiology. 165(1). 29–40. 88 indexed citations
9.
Flor‐Parra, Ignacio, Miroslav Vraneš, Jörg Kämper, & José Pérez‐Martín. (2006). Biz1, a Zinc Finger Protein Required for Plant Invasion byUstilago maydis, Regulates the Levels of a Mitotic Cyclin. The Plant Cell. 18(9). 2369–2387. 58 indexed citations
10.
Eichhorn, Heiko, Franziska Leßing, Britta Winterberg, et al.. (2006). A Ferroxidation/Permeation Iron Uptake System Is Required for Virulence inUstilago maydis. The Plant Cell. 18(11). 3332–3345. 137 indexed citations
11.
Zarnack, Kathi, Sebastian P. Maurer, Florian Kaffarnik, et al.. (2006). Tetracycline-regulated gene expression in the pathogen Ustilago maydis. Fungal Genetics and Biology. 43(11). 727–738. 40 indexed citations
12.
Feldbrügge, Michael, Jörg Kämper, Gero Steinberg, & Regine Kahmann. (2004). Regulation of mating and pathogenic development in Ustilago maydis. Current Opinion in Microbiology. 7(6). 666–672. 109 indexed citations
13.
Hüllermeier, Eyke, et al.. (2004). Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics. 21(7). 1069–1077. 82 indexed citations
14.
Kämper, Jörg. (2003). A PCR-based system for highly efficient generation of gene replacement mutants in Ustilago maydis. Molecular Genetics and Genomics. 271(1). 103–110. 197 indexed citations
15.
Weinzierl, Gerhard, et al.. (2002). The histone deacetylase Hda1 from Ustilago maydis is essential for teliospore development. Molecular Microbiology. 46(4). 1169–1182. 41 indexed citations
16.
Romeis, Tina, et al.. (2000). Regulation of pathogenic development in the corn smut fungus Ustilago maydis. Molecular Plant Pathology. 1(1). 61–66. 2 indexed citations
17.
Romeis, Tina, Andreas Brachmann, Regine Kahmann, & Jörg Kämper. (2000). Identification of a target gene for the bE–bW homeodomain protein complex inUstilago maydis. Molecular Microbiology. 37(1). 54–66. 48 indexed citations
18.
19.
Schlesinger, Ramona, Regine Kahmann, & Jörg Kämper. (1997). The homeodomains of the heterodimeric bE and bW proteins of Ustilago maydis are both critical for function. Molecular and General Genetics MGG. 254(5). 514–519. 17 indexed citations
20.
Kämper, Jörg, et al.. (1995). Multiallelic recognition: Nonself-dependent dimerization of the bE and bW homeodomain proteins in ustilago maydis. Cell. 81(1). 73–83. 196 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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