Assmann Daniela

1.3k total citations
9 papers, 941 citations indexed

About

Assmann Daniela is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Assmann Daniela has authored 9 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Plant Science and 2 papers in Cell Biology. Recurrent topics in Assmann Daniela's work include Fungal and yeast genetics research (7 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant pathogens and resistance mechanisms (2 papers). Assmann Daniela is often cited by papers focused on Fungal and yeast genetics research (7 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant pathogens and resistance mechanisms (2 papers). Assmann Daniela collaborates with scholars based in Germany, United States and Taiwan. Assmann Daniela's co-authors include Gunther Doehlemann, Regine Kahmann, Gero Steinberg, Eckhard Thines, Steffi Treitschke, André N. Mueller, Karina van der Linde, Amitabh Mohanty, David Jackson and Stefanie Reißmann and has published in prestigious journals such as The Plant Cell, Molecular Microbiology and Molecular Biology of the Cell.

In The Last Decade

Assmann Daniela

9 papers receiving 927 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Assmann Daniela Germany 8 752 541 314 44 42 9 941
Ramon Wahl Germany 12 710 0.9× 529 1.0× 243 0.8× 121 2.8× 38 0.9× 12 969
Ana Lilia Martínez-Rocha Mexico 14 696 0.9× 451 0.8× 379 1.2× 32 0.7× 31 0.7× 18 872
Miroslav Vraneš Germany 9 417 0.6× 373 0.7× 165 0.5× 56 1.3× 23 0.5× 13 569
Edward B. Cambareri United States 10 604 0.8× 687 1.3× 228 0.7× 19 0.4× 30 0.7× 14 959
Linlu Qi China 14 416 0.6× 347 0.6× 163 0.5× 20 0.5× 52 1.2× 26 618
Anupama Ghosh India 8 587 0.8× 263 0.5× 165 0.5× 21 0.5× 30 0.7× 15 733
Wilfried Jonkers United States 14 526 0.7× 329 0.6× 336 1.1× 40 0.9× 32 0.8× 17 711
Martha C. Giraldo United States 13 1.7k 2.3× 652 1.2× 571 1.8× 24 0.5× 65 1.5× 17 1.9k
Cécile Lorrain France 15 668 0.9× 330 0.6× 226 0.7× 26 0.6× 32 0.8× 22 749
Elodie Gaulin France 17 1.1k 1.4× 254 0.5× 301 1.0× 34 0.8× 29 0.7× 29 1.2k

Countries citing papers authored by Assmann Daniela

Since Specialization
Citations

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

Fields of papers citing papers by Assmann Daniela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Assmann Daniela

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

All Works

9 of 9 papers shown
1.
Bode, Edna, Assmann Daniela, Petra Happel, et al.. (2023). easyPACId, a Simple Method for Induced Production, Isolation, Identification, and Testing of Natural Products from Proteobacteria. BIO-PROTOCOL. 13(13). e4709–e4709. 6 indexed citations
2.
Ludwig, Nicole, Stefanie Reißmann, Kerstin Schipper, et al.. (2021). A cell surface-exposed protein complex with an essential virulence function in Ustilago maydis. Nature Microbiology. 6(6). 722–730. 39 indexed citations
3.
Ökmen, Bilal, et al.. (2018). Mining the effector repertoire of the biotrophic fungal pathogen Ustilago hordei during host and non‐host infection. Molecular Plant Pathology. 19(12). 2603–2622. 29 indexed citations
4.
Tollot, Marie, Assmann Daniela, Christian Becker, et al.. (2016). The WOPR Protein Ros1 Is a Master Regulator of Sporogenesis and Late Effector Gene Expression in the Maize Pathogen Ustilago maydis. PLoS Pathogens. 12(6). e1005697–e1005697. 70 indexed citations
5.
Mueller, André N., et al.. (2013). Compatibility in the Ustilago maydis–Maize Interaction Requires Inhibition of Host Cysteine Proteases by the Fungal Effector Pit2. PLoS Pathogens. 9(2). e1003177–e1003177. 203 indexed citations
6.
Doehlemann, Gunther, et al.. (2011). Two linked genes encoding a secreted effector and a membrane protein are essential for Ustilago maydis‐induced tumour formation. Molecular Microbiology. 81(3). 751–766. 115 indexed citations
7.
Doehlemann, Gunther, Karina van der Linde, Assmann Daniela, et al.. (2009). Pep1, a Secreted Effector Protein of Ustilago maydis, Is Required for Successful Invasion of Plant Cells. PLoS Pathogens. 5(2). e1000290–e1000290. 259 indexed citations
8.
Daniela, Assmann, et al.. (2005). Polar Localizing Class V Myosin Chitin Synthases Are Essential during Early Plant Infection in the Plant Pathogenic Fungus Ustilago maydis. The Plant Cell. 18(1). 225–242. 122 indexed citations
9.
Daniela, Assmann, et al.. (2005). Myosin-V, Kinesin-1, and Kinesin-3 Cooperate in Hyphal Growth of the FungusUstilago maydis. Molecular Biology of the Cell. 16(11). 5191–5201. 98 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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