Ursula Jäkle

781 total citations
11 papers, 588 citations indexed

About

Ursula Jäkle is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Ursula Jäkle has authored 11 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Epidemiology. Recurrent topics in Ursula Jäkle's work include Microtubule and mitosis dynamics (4 papers), Toxoplasma gondii Research Studies (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Ursula Jäkle is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Toxoplasma gondii Research Studies (3 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). Ursula Jäkle collaborates with scholars based in Germany, United Kingdom and United States. Ursula Jäkle's co-authors include Dominique Soldati‐Favre, Wilhelm W. Just, Dirk Görlich, Markus T. Bohnsack, S. Rapp, Karin Gorgas, Rainer Saffrich, Wilhelm Ansorge, David Ferguson and Vern B. Carruthers and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Ursula Jäkle

11 papers receiving 578 citations

Peers

Ursula Jäkle

MB

PARAS

CB

EPIDE

PHEOH

Jacqueline Schmuckli‐Maurer Switzerland

Michael E. Rome United States

Ingeborg Reckmann Germany

Ileana Slavin Argentina

Noel Gerald United States

Hiroyuki Wakaguri Japan

Kevin P. Bohannon United States

Mohammad Zeeshan United Kingdom

Bianka Prinz Germany

Benjamin J. Ravenhill United Kingdom

Jacqueline Schmuckli‐Maurer Switzerland

Ursula Jäkle

576 ×1.6

MB

161 ×0.9

PARAS

76 ×0.4

CB

206 ×1.8

EPIDE

170 ×3.3

PHEOH

Citations per year, relative to Ursula Jäkle Ursula Jäkle (= 1×) peers Jacqueline Schmuckli‐Maurer

Countries citing papers authored by Ursula Jäkle

Since Specialization

Citations

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

Fields of papers citing papers by Ursula Jäkle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ursula Jäkle

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

All Works

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11 of 11 papers shown

1.

Vermeulen, Bram J. A., Qi Gao, Annett Neuner, et al.. (2024). γ-TuRC asymmetry induces local protofilament mismatch at the RanGTP-stimulated microtubule minus end. The EMBO Journal. 43(10). 2062–2085. 11 indexed citations

2.

Hata, Shoji, et al.. (2019). The balance between KIFC3 and EG5 tetrameric kinesins controls the onset of mitotic spindle assembly. Nature Cell Biology. 21(9). 1138–1151. 46 indexed citations

3.

Rüthnick, Diana, et al.. (2018). The microtubule polymerase Stu2 promotes oligomerization of the γ-TuSC for cytoplasmic microtubule nucleation. eLife. 7. 40 indexed citations

4.

Lin, Tien-chen, Annett Neuner, Dirk Flemming, et al.. (2016). MOZART1 and γ-tubulin complex receptors are both required to turn γ-TuSC into an active microtubule nucleation template. The Journal of Cell Biology. 215(6). 823–840. 39 indexed citations

5.

Shea, Michael J., Ursula Jäkle, Qing Liu, et al.. (2007). A Family of Aspartic Proteases and a Novel, Dynamic and Cell‐Cycle‐Dependent Protease Localization in the Secretory Pathway of Toxoplasma gondii. Traffic. 8(8). 1018–1034. 46 indexed citations

6.

Saouros, Savvas, Kovilen Sawmynaden, Ernesto Cota, et al.. (2005). A Novel Galectin-like Domain from Toxoplasma gondii Micronemal Protein 1 Assists the Folding, Assembly, and Transport of a Cell Adhesion Complex. Journal of Biological Chemistry. 280(46). 38583–38591. 61 indexed citations

7.

Bohnsack, Markus T., et al.. (2004). Exportin 7 defines a novel general nuclear export pathway. The EMBO Journal. 23(16). 3227–3236. 76 indexed citations

8.

Carruthers, Vern B., David Ferguson, Olivia Giddings, et al.. (2001). The Toxoplasma Micronemal Protein MIC4 Is an Adhesin Composed of Six Conserved Apple Domains. Journal of Biological Chemistry. 276(6). 4119–4127. 123 indexed citations

9.

Rapp, S., Rainer Saffrich, Ursula Jäkle, et al.. (1996). Microtubule‐mediated Peroxisomal Saltations^a. Annals of the New York Academy of Sciences. 804(1). 666–668. 5 indexed citations

10.

Rapp, S., Rainer Saffrich, Ursula Jäkle, et al.. (1996). Microtubule-based peroxisome movement. Journal of Cell Science. 109(4). 837–849. 103 indexed citations

11.

Káldi, Krisztina, Gudrun Stenbeck, Ursula Jäkle, et al.. (1993). Membrane topology of the 22 kDa integral peroxisomal membrane protein. FEBS Letters. 315(3). 217–222. 38 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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