Ulrike D. Epple

697 total citations
9 papers, 518 citations indexed

About

Ulrike D. Epple is a scholar working on Epidemiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Ulrike D. Epple has authored 9 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 5 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in Ulrike D. Epple's work include Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Advanced Control Systems Optimization (2 papers). Ulrike D. Epple is often cited by papers focused on Autophagy in Disease and Therapy (5 papers), Endoplasmic Reticulum Stress and Disease (5 papers) and Advanced Control Systems Optimization (2 papers). Ulrike D. Epple collaborates with scholars based in Germany and United Kingdom. Ulrike D. Epple's co-authors include Michael Thumm, Eeva‐Liisa Eskelinen, Henning Barth, Khuyen Meiling-Wesse, Christiane Voss, Roswitha Krick and Ernst Dieter Gilles and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Cell Science and FEBS Letters.

In The Last Decade

Ulrike D. Epple

8 papers receiving 517 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 D. Epple Germany 7 392 301 240 59 58 9 518
Machiko Sakoh‐Nakatogawa Japan 8 387 1.0× 228 0.8× 256 1.1× 47 0.8× 47 0.8× 8 520
Wakana Adachi Japan 5 401 1.0× 200 0.7× 247 1.0× 46 0.8× 24 0.4× 6 474
Eri Hirata Japan 6 347 0.9× 243 0.8× 287 1.2× 45 0.8× 58 1.0× 9 547
Aniek van der Vaart Netherlands 9 327 0.8× 199 0.7× 238 1.0× 32 0.5× 57 1.0× 9 508
Chika Kondo Japan 5 378 1.0× 203 0.7× 376 1.6× 78 1.3× 21 0.4× 7 584
Ingrid Bhatia Kiššová Slovakia 6 425 1.1× 161 0.5× 419 1.7× 36 0.6× 77 1.3× 7 619
Jemma L. Webber United States 11 329 0.8× 151 0.5× 265 1.1× 28 0.5× 35 0.6× 15 539
Zsuzsanna Takács Germany 7 305 0.8× 140 0.5× 243 1.0× 43 0.7× 58 1.0× 10 499
Ralph Hardenberg Netherlands 5 316 0.8× 195 0.6× 148 0.6× 37 0.6× 44 0.8× 8 375
Norito Tamura Japan 7 297 0.8× 214 0.7× 222 0.9× 21 0.4× 69 1.2× 8 484

Countries citing papers authored by Ulrike D. Epple

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike D. Epple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike D. Epple

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike D. Epple. A scholar is included among the top collaborators of Ulrike D. Epple 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 D. Epple. Ulrike D. Epple 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.
Meiling-Wesse, Khuyen, Ulrike D. Epple, Roswitha Krick, et al.. (2005). Trs85 (Gsg1), a Component of the TRAPP Complexes, Is Required for the Organization of the Preautophagosomal Structure during Selective Autophagy via the Cvt Pathway. Journal of Biological Chemistry. 280(39). 33669–33678. 81 indexed citations
2.
Meiling-Wesse, Khuyen, Henning Barth, Christiane Voss, et al.. (2004). Atg21 Is Required for Effective Recruitment of Atg8 to the Preautophagosomal Structure during the Cvt Pathway. Journal of Biological Chemistry. 279(36). 37741–37750. 50 indexed citations
3.
Epple, Ulrike D., Eeva‐Liisa Eskelinen, & Michael Thumm. (2003). Intravacuolar Membrane Lysis in Saccharomyces cerevisiae. Journal of Biological Chemistry. 278(10). 7810–7821. 56 indexed citations
4.
Barth, Henning, Khuyen Meiling-Wesse, Ulrike D. Epple, & Michael Thumm. (2002). Mai1p is essential for maturation of proaminopeptidase I but not for autophagy. FEBS Letters. 512(1-3). 173–179. 32 indexed citations
5.
Barth, Henning, Khuyen Meiling-Wesse, Ulrike D. Epple, & Michael Thumm. (2001). Autophagy and the cytoplasm to vacuole targeting pathway both require Aut10p. FEBS Letters. 508(1). 23–28. 91 indexed citations
6.
Epple, Ulrike D., et al.. (2001). Aut5/Cvt17p, a Putative Lipase Essential for Disintegration of Autophagic Bodies inside the Vacuole. Journal of Bacteriology. 183(20). 5942–5955. 152 indexed citations
7.
Epple, Ulrike D., et al.. (2000). The breakdown of autophagic vesicles inside the vacuole depends on Aut4p. Journal of Cell Science. 113(22). 4025–4033. 51 indexed citations
8.
Epple, Ulrike D.. (1986). Model Reduction for Nonlinear Systems with Distributed Parameters. IFAC Proceedings Volumes. 19(15). 279–284. 5 indexed citations
9.
Gilles, Ernst Dieter & Ulrike D. Epple. (1982). Model reduction of the fixed-bed reactor. Max Planck Institute for Plasma Physics.

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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