Ulrike Eggert

4.0k total citations
76 papers, 3.0k citations indexed

About

Ulrike Eggert is a scholar working on Molecular Biology, Organic Chemistry and Cell Biology. According to data from OpenAlex, Ulrike Eggert has authored 76 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 32 papers in Organic Chemistry and 15 papers in Cell Biology. Recurrent topics in Ulrike Eggert's work include Synthetic Organic Chemistry Methods (25 papers), Asymmetric Synthesis and Catalysis (12 papers) and Microbial Natural Products and Biosynthesis (10 papers). Ulrike Eggert is often cited by papers focused on Synthetic Organic Chemistry Methods (25 papers), Asymmetric Synthesis and Catalysis (12 papers) and Microbial Natural Products and Biosynthesis (10 papers). Ulrike Eggert collaborates with scholars based in United States, Germany and United Kingdom. Ulrike Eggert's co-authors include Timothy J. Mitchison, Christine M. Field, H. M. R. Hoffmann, Jeremy G. Carlton, Adam Castoreno, Hannah Jones, G. Ekin Atilla‐Gokcumen, Daniel Kahne, Sofia Sasse and Norbert Perrimon and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ulrike Eggert

73 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrike Eggert United States 29 1.8k 839 638 341 307 76 3.0k
Hans‐Dieter Arndt Germany 30 1.9k 1.0× 416 0.5× 1.1k 1.7× 338 1.0× 513 1.7× 123 3.3k
Yao‐Wen Wu Germany 32 1.8k 1.0× 806 1.0× 633 1.0× 121 0.4× 167 0.5× 98 2.7k
Daniel Nietlispach United Kingdom 36 2.7k 1.5× 478 0.6× 290 0.5× 128 0.4× 249 0.8× 82 3.8k
Ivan R. Corrêa United States 34 4.0k 2.2× 767 0.9× 977 1.5× 949 2.8× 120 0.4× 98 5.5k
Frank Löhr Germany 41 4.3k 2.3× 768 0.9× 228 0.4× 223 0.7× 405 1.3× 150 6.1k
Brent R. Martin United States 28 2.7k 1.5× 755 0.9× 796 1.2× 285 0.8× 82 0.3× 51 3.8k
Stephen W. Michnick Canada 26 2.6k 1.4× 608 0.7× 240 0.4× 215 0.6× 59 0.2× 41 3.1k
Olli T. Pentikäinen Finland 32 1.5k 0.8× 533 0.6× 439 0.7× 47 0.1× 183 0.6× 100 3.1k
Monika G. Wood United States 12 3.4k 1.9× 489 0.6× 575 0.9× 704 2.1× 58 0.2× 18 4.4k
Rubén M. Buey Spain 32 2.3k 1.3× 1.7k 2.0× 484 0.8× 55 0.2× 185 0.6× 62 3.3k

Countries citing papers authored by Ulrike Eggert

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Eggert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Eggert

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Eggert. A scholar is included among the top collaborators of Ulrike Eggert 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 Ulrike Eggert. Ulrike Eggert 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.
Ulmschneider, Martin B., et al.. (2023). Achieving anticancer peptides: Protein-lipid interactions in breast cancer models. Biophysical Journal. 122(3). 232a–232a.
2.
Joshi, Himanshu, Stephen J. Terry, Jonathan R. Burns, et al.. (2021). Hydrophobic Interactions between DNA Duplexes and Synthetic and Biological Membranes. Journal of the American Chemical Society. 143(22). 8305–8313. 36 indexed citations
3.
Carlton, Jeremy G., Hannah Jones, & Ulrike Eggert. (2020). Membrane and organelle dynamics during cell division. Nature Reviews Molecular Cell Biology. 21(3). 151–166. 155 indexed citations
4.
Terry, Stephen J., et al.. (2018). Capping protein regulates actin dynamics during cytokinetic midbody maturation. Proceedings of the National Academy of Sciences. 115(9). 2138–2143. 31 indexed citations
5.
Li, Zhiyuan, Xinmiao Ji, Wenchao Wang, et al.. (2016). Ammonia Induces Autophagy through Dopamine Receptor D3 and MTOR. PLoS ONE. 11(4). e0153526–e0153526. 35 indexed citations
6.
Atilla‐Gokcumen, G. Ekin & Ulrike Eggert. (2014). A Comparative LC-MS Based Profiling Approach to Analyze Lipid Composition in Tissue Culture Systems. Methods in molecular biology. 1232. 103–113. 3 indexed citations
7.
Atilla‐Gokcumen, G. Ekin, Eleonora Muro, Sofia Sasse, et al.. (2014). Dividing Cells Regulate Their Lipid Composition and Localization. Cell. 156(3). 428–439. 241 indexed citations
8.
Eggert, Ulrike. (2013). The why and how of phenotypic small-molecule screens. Nature Chemical Biology. 9(4). 206–209. 87 indexed citations
9.
Zhang, Xin & Ulrike Eggert. (2012). Non-traditional roles of G protein-coupled receptors in basic cell biology. Molecular BioSystems. 9(4). 586–595. 19 indexed citations
10.
Carmena, Mar, Xavier Pinson, Melpomeni Platani, et al.. (2012). The Chromosomal Passenger Complex Activates Polo Kinase at Centromeres. PLoS Biology. 10(1). e1001250–e1001250. 94 indexed citations
11.
Zhou, Qiongqiong, Christine Jelinek, Srikanth N. Divi, et al.. (2010). 14-3-3 Coordinates Microtubules, Rac, and Myosin II to Control Cell Mechanics and Cytokinesis. Current Biology. 20(21). 1881–1889. 63 indexed citations
12.
Castoreno, Adam, et al.. (2010). Small molecules discovered in a pathway screen target the Rho pathway in cytokinesis. Nature Chemical Biology. 6(6). 457–463. 49 indexed citations
13.
Eggert, Ulrike, Randi Diestel, Florenz Sasse, et al.. (2008). Chondramid C: Synthese, Strukturaufklärung und Struktur‐Aktivitäts‐Beziehungen. Angewandte Chemie. 120(34). 6578–6582. 18 indexed citations
14.
Hassfeld, Jorma, et al.. (2007). The Total Synthesis of (+)‐Tedanolide—A Macrocyclic Polyketide from Marine Sponge Tedania ignis. Chemistry - A European Journal. 14(7). 2232–2247. 37 indexed citations
15.
Eggert, Ulrike & Giulio Superti‐Furga. (2007). Drugs in action. Nature Chemical Biology. 4(1). 7–11. 1 indexed citations
16.
Perrimon, Norbert, Adam Friedman, Bernard Mathey-Prévôt, & Ulrike Eggert. (2006). Drug-target identification in Drosophila cells: combining high-throughout RNAi and small-molecule screens. Drug Discovery Today. 12(1-2). 28–33. 32 indexed citations
17.
Eggert, Ulrike, Christine M. Field, & Timothy J. Mitchison. (2005). Small molecules in an RNAi world. Molecular BioSystems. 2(2). 93–96. 18 indexed citations
18.
Eggert, Ulrike, Amy A. Kiger, Constance Richter, et al.. (2004). Parallel Chemical Genetic and Genome-Wide RNAi Screens Identify Cytokinesis Inhibitors and Targets. PLoS Biology. 2(12). e379–e379. 258 indexed citations
19.
Eggert, Ulrike, Natividad Ruiz, Brian V. Falcone, et al.. (2001). Genetic Basis for Activity Differences Between Vancomycin and Glycolipid Derivatives of Vancomycin. Science. 294(5541). 361–364. 112 indexed citations
20.
Stark, Christian B. W., Ulrike Eggert, & H. M. R. Hoffmann. (1998). Chiral Allyl Cations in Cycloadditions to Furan: Synthesis of 2-(1′-Phenylethoxy)-8-oxabicyclo[3.2.1]oct-6-en-3-one in High Enantiomeric Purity. Angewandte Chemie International Edition. 37(9). 1266–1268. 48 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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