Clemens Cabernard

2.4k total citations
33 papers, 1.7k citations indexed

About

Clemens Cabernard is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Clemens Cabernard has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 24 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Clemens Cabernard's work include Microtubule and mitosis dynamics (19 papers), Developmental Biology and Gene Regulation (14 papers) and Cellular Mechanics and Interactions (9 papers). Clemens Cabernard is often cited by papers focused on Microtubule and mitosis dynamics (19 papers), Developmental Biology and Gene Regulation (14 papers) and Cellular Mechanics and Interactions (9 papers). Clemens Cabernard collaborates with scholars based in United States, Switzerland and United Kingdom. Clemens Cabernard's co-authors include Chris Q. Doe, Karsten H. Siller, Taryn E. Gillies, Markus Affolter, Kenneth E. Prehoda, Bharath Sunchu, Tri Thanh Pham, Chantal Roubinet, Priyanka Singh and Laurina Manning and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Clemens Cabernard

32 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clemens Cabernard United States 21 1.2k 1.0k 260 196 175 33 1.7k
Fabrice Roegiers United States 22 1.3k 1.1× 754 0.7× 339 1.3× 118 0.6× 98 0.6× 32 1.7k
Arash Bashirullah United States 21 1.8k 1.5× 643 0.6× 414 1.6× 216 1.1× 115 0.7× 38 2.3k
Salud Llamazares Spain 16 1.7k 1.4× 994 1.0× 345 1.3× 323 1.6× 78 0.4× 23 2.0k
Ferdi Grawe Germany 18 1.4k 1.1× 1.0k 1.0× 388 1.5× 145 0.7× 108 0.6× 22 1.9k
Emmanuel Caussinus Switzerland 20 1.5k 1.3× 1.0k 1.0× 430 1.7× 180 0.9× 80 0.5× 28 2.2k
Michael Zavortink United States 22 1.7k 1.4× 1.0k 1.0× 333 1.3× 253 1.3× 70 0.4× 26 2.3k
Pier Paolo D’Avino United Kingdom 26 1.4k 1.2× 1.3k 1.3× 259 1.0× 288 1.5× 104 0.6× 48 2.0k
Frederik Wirtz‐Peitz United States 14 975 0.8× 801 0.8× 214 0.8× 122 0.6× 80 0.5× 14 1.3k
Nicholas Harden Canada 21 1.4k 1.2× 1.1k 1.1× 487 1.9× 111 0.6× 78 0.4× 37 2.0k
Jens Januschke United Kingdom 17 977 0.8× 858 0.8× 107 0.4× 206 1.1× 90 0.5× 27 1.2k

Countries citing papers authored by Clemens Cabernard

Since Specialization
Citations

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

Fields of papers citing papers by Clemens Cabernard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clemens Cabernard

This figure shows the co-authorship network connecting the top 25 collaborators of Clemens Cabernard. A scholar is included among the top collaborators of Clemens Cabernard 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 Clemens Cabernard. Clemens Cabernard 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.
Gao, Li, Joyce C. M. Meiring, Constanze Heise, et al.. (2022). In Vivo Photocontrol of Microtubule Dynamics and Integrity, Migration and Mitosis, by the Potent GFP-Imaging-Compatible Photoswitchable Reagents SBTubA4P and SBTub2M. Journal of the American Chemical Society. 144(12). 5614–5628. 37 indexed citations
2.
Łepeta, Katarzyna, Chantal Roubinet, M Viganò, et al.. (2022). Engineered kinases as a tool for phosphorylation of selected targets in vivo. The Journal of Cell Biology. 221(10). 3 indexed citations
3.
Sunchu, Bharath, et al.. (2022). Asymmetric chromatin retention and nuclear envelopes separate chromosomes in fused cells in vivo. Communications Biology. 5(1). 953–953. 1 indexed citations
4.
Pham, Tri Thanh, Jonne Helenius, Erik Lund, et al.. (2019). Spatiotemporally Controlled Myosin Relocalization and Internal Pressure Generate Sibling Cell Size Asymmetry. iScience. 13. 9–19. 14 indexed citations
5.
Canman, Julie C. & Clemens Cabernard. (2018). Mechanics of cell division and cytokinesis. Molecular Biology of the Cell. 29(6). 685–686. 7 indexed citations
6.
Montembault, Émilie, et al.. (2017). Myosin efflux promotes cell elongation to coordinate chromosome segregation with cell cleavage. Nature Communications. 8(1). 326–326. 13 indexed citations
7.
Pham, Tri Thanh, et al.. (2017). Cell Polarity Regulates Biased Myosin Activity and Dynamics during Asymmetric Cell Division via Drosophila Rho Kinase and Protein Kinase N. Developmental Cell. 42(2). 143–155.e5. 32 indexed citations
8.
Pham, Tri Thanh, et al.. (2017). Drosophila melanogaster Neuroblasts: A Model for Asymmetric Stem Cell Divisions. Results and problems in cell differentiation. 61. 183–210. 37 indexed citations
9.
Roubinet, Chantal, et al.. (2017). Spatio-temporally separated cortical flows and spindle geometry establish physical asymmetry in fly neural stem cells. Nature Communications. 8(1). 1383–1383. 44 indexed citations
10.
Nair, Anjana Ramdas, et al.. (2016). The Microcephaly-Associated Protein Wdr62/CG7337 Is Required to Maintain Centrosome Asymmetry in Drosophila Neuroblasts. Cell Reports. 14(5). 1100–1113. 46 indexed citations
11.
Roubinet, Chantal & Clemens Cabernard. (2014). Control of asymmetric cell division. Current Opinion in Cell Biology. 31. 84–91. 39 indexed citations
12.
Singh, Priyanka, Anjana Ramdas Nair, & Clemens Cabernard. (2014). The Centriolar Protein Bld10/Cep135 Is Required to Establish Centrosome Asymmetry in Drosophila Neuroblasts. Current Biology. 24(13). 1548–1555. 41 indexed citations
13.
Cabernard, Clemens. (2012). Cytokinesis inDrosophila melanogaster. Cytoskeleton. 69(10). 791–809. 14 indexed citations
14.
Connell, Marisa, et al.. (2011). Asymmetric cortical extension shifts cleavage furrow position inDrosophilaneuroblasts. Molecular Biology of the Cell. 22(22). 4220–4226. 42 indexed citations
15.
Cabernard, Clemens, et al.. (2010). Fragile X protein controls neural stem cell proliferation in the Drosophila brain. Human Molecular Genetics. 19(15). 3068–3079. 64 indexed citations
16.
Cabernard, Clemens, Kenneth E. Prehoda, & Chris Q. Doe. (2010). A spindle-independent cleavage furrow positioning pathway. Nature. 467(7311). 91–94. 131 indexed citations
17.
Cabernard, Clemens & Chris Q. Doe. (2007). Stem Cell Self-Renewal: Centrosomes on the Move. Current Biology. 17(12). R465–R467. 7 indexed citations
18.
Lee, Cheng‐Yu, Ryan Andersen, Clemens Cabernard, et al.. (2006). Drosophila Aurora-A kinase inhibits neuroblast self-renewal by regulating aPKC/Numb cortical polarity and spindle orientation. Genes & Development. 20(24). 3464–3474. 208 indexed citations
19.
Ebner, Andreas, Clemens Cabernard, Markus Affolter, & Samir Merabet. (2005). Recognition of distinct target sites by a unique Labial/Extradenticle/Homothorax complex. Development. 132(7). 1591–1600. 37 indexed citations
20.
Cabernard, Clemens, et al.. (2004). Cellular and molecular mechanisms involved in branching morphogenesis of theDrosophilatracheal system. Journal of Applied Physiology. 97(6). 2347–2353. 24 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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