Debora Keller

1.3k total citations
12 papers, 984 citations indexed

About

Debora Keller is a scholar working on Molecular Biology, Cell Biology and Structural Biology. According to data from OpenAlex, Debora Keller has authored 12 papers receiving a total of 984 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 2 papers in Structural Biology. Recurrent topics in Debora Keller's work include Microtubule and mitosis dynamics (7 papers), Photosynthetic Processes and Mechanisms (3 papers) and Nuclear Structure and Function (2 papers). Debora Keller is often cited by papers focused on Microtubule and mitosis dynamics (7 papers), Photosynthetic Processes and Mechanisms (3 papers) and Nuclear Structure and Function (2 papers). Debora Keller collaborates with scholars based in Switzerland, Germany and France. Debora Keller's co-authors include Pierre Gönczy, Nicolas Olivier, Suliana Manley, Daiju Kitagawa, Isabelle Flückiger, Michel O. Steinmetz, Ioannis Vakonakis, Miriam Bortfeld, Vincent Oliéric and Manuel Hilbert and has published in prestigious journals such as Cell, The Journal of Cell Biology and ACS Nano.

In The Last Decade

Debora Keller

12 papers receiving 969 citations

Peers

Debora Keller

MB

CB

BIOPH

GENET

BE

Vito Mennella United States

Davide Gambarotto Switzerland

Monika Zwerger United States

Volker C. Cordes Germany

C. Patrick Lusk United States

Sandrine Moutel France

Alan Wainman United Kingdom

Vitold E. Galkin United States

Tai Kiuchi Japan

Yolanda Markaki Germany

Vito Mennella United States

Debora Keller

914 ×1.5

MB

800 ×1.3

CB

229 ×1.1

BIOPH

290 ×1.6

GENET

108 ×0.8

BE

Citations per year, relative to Debora Keller Debora Keller (= 1×) peers Vito Mennella

Countries citing papers authored by Debora Keller

Since Specialization

Citations

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

Fields of papers citing papers by Debora Keller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debora Keller

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

All Works

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12 of 12 papers shown

1.

Keller, Debora, David Umlauf, Edith Gourbeyre, et al.. (2024). Non-random spatial organization of telomeres varies during the cell cycle and requires LAP2 and BAF. iScience. 27(4). 109343–109343. 1 indexed citations

2.

Hansel, Catherine S., Spencer W. Crowder, Samuel J. Cooper, et al.. (2019). Nanoneedle-Mediated Stimulation of Cell Mechanotransduction Machinery. ACS Nano. 13(3). 2913–2926. 112 indexed citations

3.

Keller, Debora, Meritxell Orpinell, Nicolas Olivier, et al.. (2014). Mechanisms of HsSAS-6 assembly promoting centriole formation in human cells. The Journal of Cell Biology. 204(5). 697–712. 65 indexed citations

4.

Olivier, Nicolas, Debora Keller, Pierre Gönczy, & Suliana Manley. (2013). Resolution Doubling in 3D-STORM Imaging through Improved Buffers. PLoS ONE. 8(7). e69004–e69004. 148 indexed citations

5.

Olivier, Nicolas, et al.. (2013). Simple buffers for 3D STORM microscopy. Biomedical Optics Express. 4(6). 885–885. 89 indexed citations

6.

Lacher, Markus D., Marisa Shiina, Peter Chang, et al.. (2011). ZEB1 limits adenoviral infectability by transcriptionally repressing the Coxsackie virus and Adenovirus Receptor. Molecular Cancer. 10(1). 91–91. 22 indexed citations

7.

Homsi, Yahya, Debora Keller, Martin May, et al.. (2011). The SCF–FBXW5 E3-ubiquitin ligase is regulated by PLK4 and targets HsSAS-6 to control centrosome duplication. Nature Cell Biology. 13(8). 1004–1009. 127 indexed citations

8.

Kitagawa, Daiju, Ioannis Vakonakis, Natacha Olieric, et al.. (2011). Structural Basis of the 9-Fold Symmetry of Centrioles. Cell. 144(3). 364–375. 278 indexed citations

9.

Kitagawa, Daiju, Isabelle Flückiger, Jolanta Polanowska, et al.. (2011). PP2A Phosphatase Acts upon SAS-5 to Ensure Centriole Formation in C. elegans Embryos. Developmental Cell. 20(4). 550–562. 43 indexed citations

10.

Kitagawa, Daiju, Debora Keller, Petr Strnad, et al.. (2011). Spindle positioning in human cells relies on proper centriole formation and on the microcephaly proteins CPAP and STIL. Journal of Cell Science. 124(22). 3884–3893. 90 indexed citations

11.

Keller, Debora, et al.. (2010). The DNA damage response to non-replicating adeno-associated virus: Centriole overduplication and mitotic catastrophe independent of the spindle checkpoint. Virology. 400(2). 271–286. 7 indexed citations

12.

Keller, Debora. (2008). Interview with Philippe Ory of the EPFL (Ecole Polytechnique Federale de Lausanne) Career Centre. New Biotechnology. 25(1). 37–38. 2 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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