Christian Klämbt

10.4k total citations
143 papers, 7.9k citations indexed

About

Christian Klämbt is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Christian Klämbt has authored 143 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Cellular and Molecular Neuroscience, 91 papers in Molecular Biology and 36 papers in Cell Biology. Recurrent topics in Christian Klämbt's work include Neurobiology and Insect Physiology Research (76 papers), Developmental Biology and Gene Regulation (55 papers) and Axon Guidance and Neuronal Signaling (29 papers). Christian Klämbt is often cited by papers focused on Neurobiology and Insect Physiology Research (76 papers), Developmental Biology and Gene Regulation (55 papers) and Axon Guidance and Neuronal Signaling (29 papers). Christian Klämbt collaborates with scholars based in Germany, United States and United Kingdom. Christian Klämbt's co-authors include Corey S. Goodman, Thomas Hummel, Henrike Scholz, Sven Bogdan, J. Roger Jacobs, Ben‐Zion Shilo, Graeme W. Davis, Jack Roos, Tobias Stork and L Glazer and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Christian Klämbt

140 papers receiving 7.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christian Klämbt Germany 45 5.3k 3.9k 2.2k 1.0k 734 143 7.9k
Tadashi Uemura Japan 53 7.5k 1.4× 3.0k 0.8× 4.2k 1.9× 747 0.7× 922 1.3× 142 10.7k
Vivian Budnik United States 52 5.7k 1.1× 5.1k 1.3× 3.0k 1.4× 604 0.6× 1.0k 1.4× 86 9.2k
Gerhard M. Technau Germany 47 4.9k 0.9× 5.0k 1.3× 1.3k 0.6× 1.0k 1.0× 1.2k 1.6× 101 7.2k
Stefan Thor Sweden 36 4.0k 0.8× 2.3k 0.6× 1.2k 0.5× 492 0.5× 788 1.1× 82 5.4k
Michael Bate United Kingdom 53 5.9k 1.1× 5.3k 1.4× 2.1k 1.0× 941 0.9× 1.5k 2.1× 98 9.5k
Tzumin Lee United States 40 5.1k 1.0× 5.8k 1.5× 1.8k 0.8× 1.8k 1.7× 1.6k 2.2× 85 9.2k
S Lawrence Zipursky United States 68 11.1k 2.1× 7.9k 2.0× 3.4k 1.6× 1.7k 1.6× 1.7k 2.3× 232 15.5k
David Van Vactor United States 41 4.0k 0.8× 3.1k 0.8× 2.4k 1.1× 570 0.6× 330 0.4× 92 6.4k
Kendal Broadie United States 53 5.7k 1.1× 4.6k 1.2× 3.5k 1.6× 527 0.5× 2.5k 3.4× 164 9.5k
José A. Campos‐Ortega Germany 58 8.4k 1.6× 4.0k 1.0× 2.5k 1.1× 918 0.9× 1.8k 2.5× 116 10.4k

Countries citing papers authored by Christian Klämbt

Since Specialization
Citations

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

Fields of papers citing papers by Christian Klämbt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Klämbt

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Klämbt. A scholar is included among the top collaborators of Christian Klämbt 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 Christian Klämbt. Christian Klämbt 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.
Fernandes, Vilaiwan M., Vanessa J. Auld, & Christian Klämbt. (2024). Glia as Functional Barriers and Signaling Intermediaries. Cold Spring Harbor Perspectives in Biology. 16(1). a041423–a041423. 9 indexed citations
2.
Zeuschner, Dagmar, et al.. (2023). Glial-dependent clustering of voltage-gated ion channels in Drosophila precedes myelin formation. eLife. 12. 9 indexed citations
3.
García, L. René, et al.. (2021). Redundant functions of the SLC5A transporters Rumpel, Bumpel, and Kumpel in ensheathing glial cells. Biology Open. 11(1). 9 indexed citations
4.
Cardona, Albert, et al.. (2021). Drosophila ßHeavy-Spectrin is required in polarized ensheathing glia that form a diffusion-barrier around the neuropil. Nature Communications. 12(1). 6357–6357. 22 indexed citations
5.
Kottmeier, Rita, et al.. (2020). Wrapping glia regulates neuronal signaling speed and precision in the peripheral nervous system of Drosophila. Nature Communications. 11(1). 4491–4491. 43 indexed citations
6.
Steffes, Georg, et al.. (2019). The Drosophila NCAM homolog Fas2 signals independently of adhesion. Development. 147(2). 13 indexed citations
7.
Matzat, Till, et al.. (2015). Axonal wrapping in the Drosophila PNS is controlled by glia-derived neuregulin homolog Vein. Development. 142(7). 1336–45. 40 indexed citations
8.
Mildner, Karina, Felix Babatz, Dietmar Riedel, et al.. (2015). Correlative Light and Electron Microscopy of Rare Cell Populations in Zebrafish Embryos Using Laser Marks. Zebrafish. 12(6). 470–473. 6 indexed citations
9.
Kain, Pinky, et al.. (2012). Kinesin Heavy Chain Function in Drosophila Glial Cells Controls Neuronal Activity. Journal of Neuroscience. 32(22). 7466–7476. 41 indexed citations
10.
Stork, Tobias, et al.. (2008). Organization and Function of the Blood–Brain Barrier inDrosophila. Journal of Neuroscience. 28(3). 587–597. 273 indexed citations
11.
Volohonsky, Gloria, et al.. (2006). Muscle-dependent maturation of tendon cells is induced by post-transcriptional regulation of stripeA. Development. 134(2). 347–356. 44 indexed citations
12.
Altenhein, Benjamin, et al.. (2006). Notch and Numb are required for normal migration of peripheral glia in Drosophila. Developmental Biology. 301(1). 27–37. 39 indexed citations
13.
Pielage, Jan, Georg Steffes, Beth Parente, et al.. (2002). Novel Behavioral and Developmental Defects Associated with Drosophila single-minded. Developmental Biology. 249(2). 283–299. 36 indexed citations
14.
Hummel, Thomas, et al.. (2000). Drosophila Futsch/22C10 Is a MAP1B-like Protein Required for Dendritic and Axonal Development. Neuron. 26(2). 357–370. 382 indexed citations
15.
Klämbt, Christian, et al.. (2000). gcm and pointed synergistically control glial transcription of the Drosophila gene loco. Mechanisms of Development. 91(1-2). 197–208. 39 indexed citations
16.
Scholz, Henrike, et al.. (1997). Control of midline glia development in the embryonic Drosophila CNS. Mechanisms of Development. 64(1-2). 139–151. 44 indexed citations
17.
Hummel, Thomas, et al.. (1997). CNS midline development in Drosophila.. PubMed. 4(4). 357–68. 6 indexed citations
18.
Lüer, Karin, et al.. (1997). CNS midline cells in Drosophila induce the differentiation of lateral neural cells. Development. 124(24). 4949–4958. 39 indexed citations
19.
Stollewerk, Angelika, et al.. (1994). The Ets transcription factors encoded by the Drosophila gene pointed direct glial cell differentiation in the embryonic CNS. Cell. 78(1). 149–160. 205 indexed citations
20.
Klämbt, Christian, et al.. (1987). A protein product of the Drosophila recessive tumor gene, l (2) giant gl , potentially has cell adhesion properties. The EMBO Journal. 6(6). 1791–1797. 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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