Carsten Duch

2.7k total citations
72 papers, 1.9k citations indexed

About

Carsten Duch is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Genetics. According to data from OpenAlex, Carsten Duch has authored 72 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Cellular and Molecular Neuroscience, 21 papers in Molecular Biology and 19 papers in Genetics. Recurrent topics in Carsten Duch's work include Neurobiology and Insect Physiology Research (53 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Physiological and biochemical adaptations (12 papers). Carsten Duch is often cited by papers focused on Neurobiology and Insect Physiology Research (53 papers), Insect and Arachnid Ecology and Behavior (15 papers) and Physiological and biochemical adaptations (12 papers). Carsten Duch collaborates with scholars based in Germany, United States and United Kingdom. Carsten Duch's co-authors include Stefanie Ryglewski, Hans‐Joachim Pflüger, Jan Felix Evers, Fernando Vonhoff, Richard B. Levine, R. B. Levine, H.-J. Pfl�ger, Frédéric Libersat, Michael Scholz and Stephan Schmitt and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Carsten Duch

69 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carsten Duch Germany 27 1.4k 561 500 400 253 72 1.9k
Elizabeth C. Marin United States 13 1.7k 1.2× 775 1.4× 458 0.9× 483 1.2× 329 1.3× 14 2.0k
Marion Silies Germany 21 1.4k 1.0× 444 0.8× 674 1.3× 397 1.0× 194 0.8× 38 1.9k
Marta Zlatic United States 26 1.9k 1.3× 740 1.3× 465 0.9× 466 1.2× 207 0.8× 38 2.5k
David Owald Germany 19 2.0k 1.4× 707 1.3× 725 1.4× 436 1.1× 329 1.3× 25 2.5k
Linda L. Restifo United States 25 1.4k 1.0× 1.1k 1.9× 954 1.9× 457 1.1× 333 1.3× 42 2.5k
Zhiyuan Lu Canada 22 1.2k 0.8× 368 0.7× 778 1.6× 342 0.9× 104 0.4× 63 2.1k
Aike Guo China 28 1.4k 1.0× 643 1.1× 278 0.6× 524 1.3× 322 1.3× 81 1.9k
Matthieu Louis United States 21 1.2k 0.8× 651 1.2× 354 0.7× 407 1.0× 374 1.5× 32 1.7k
Arnim Jenett France 14 1.9k 1.3× 1000 1.8× 827 1.7× 815 2.0× 310 1.2× 21 2.9k

Countries citing papers authored by Carsten Duch

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Duch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Duch

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Duch. A scholar is included among the top collaborators of Carsten Duch 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 Carsten Duch. Carsten Duch 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.
Bell, Christopher J., Hanna Kern, Christof Rickert, et al.. (2025). Specific presynaptic functions require distinct Drosophila Cav2 splice isoforms. eLife. 13. 1 indexed citations
2.
Viskadourou, Maria, et al.. (2024). Biological aging of two innate behaviors of Drosophila melanogaster: Escape climbing versus courtship learning and memory. PLoS ONE. 19(4). e0293252–e0293252. 3 indexed citations
3.
Schleimer, Jan‐Hendrik, et al.. (2023). Gap junctions desynchronize a neural circuit to stabilize insect flight. Nature. 618(7963). 118–125. 16 indexed citations
4.
Rickert, Christof, et al.. (2022). Dscam1 Has Diverse Neuron Type-Specific Functions in the DevelopingDrosophilaCNS. eNeuro. 9(4). ENEURO.0255–22.2022. 10 indexed citations
5.
Ryglewski, Stefanie, Arthur Bikbaev, Oliver Kobler, et al.. (2021). Separation of presynaptic Ca v 2 and Ca v 1 channel function in synaptic vesicle exo- and endocytosis by the membrane anchored Ca 2+ pump PMCA. Proceedings of the National Academy of Sciences. 118(28). 15 indexed citations
6.
Kiral, Ferdi Rıdvan, Gerit Arne Linneweber, Carsten Duch, et al.. (2021). Brain connectivity inversely scales with developmental temperature in Drosophila. Cell Reports. 37(12). 110145–110145. 23 indexed citations
7.
Namiki, Shigehiro, J. Douglas Armstrong, Gwyneth M Card, et al.. (2020). A Systematic Nomenclature for the Drosophila Ventral Nerve Cord. Neuron. 107(6). 1071–1079.e2. 44 indexed citations
9.
Dutta, Sudeshna, et al.. (2015). Glial expression of Swiss-cheese (SWS), theDrosophilaorthologue of Neuropathy Target Esterase, is required for neuronal ensheathment and function. Disease Models & Mechanisms. 9(3). 283–94. 36 indexed citations
10.
Vonhoff, Fernando, et al.. (2014). Dscam1 Is Required for Normal Dendrite Growth and Branching But Not for Dendritic Spacing inDrosophilaMotoneurons. Journal of Neuroscience. 34(5). 1924–1931. 28 indexed citations
11.
McKiernan, Erin C., et al.. (2012). Relating ion channel expression, bifurcation structure, and diverse firing patterns in a model of an identified motor neuron. Journal of Computational Neuroscience. 34(2). 211–229. 15 indexed citations
12.
Vierk, Ricardo, et al.. (2009). Differential effects of octopamine and tyramine on the central pattern generator for Manduca flight. Journal of Comparative Physiology A. 195(3). 265–277. 34 indexed citations
13.
Duch, Carsten, et al.. (2008). Expression of two different isoforms of fasciclin II during postembryonic central nervous system remodeling in Manduca sexta. Cell and Tissue Research. 334(3). 477–498. 2 indexed citations
14.
Duch, Carsten, Fernando Vonhoff, & Stefanie Ryglewski. (2008). Dendrite Elongation and Dendritic Branching Are Affected Separately by Different Forms of Intrinsic Motoneuron Excitability. Journal of Neurophysiology. 100(5). 2525–2536. 44 indexed citations
15.
Brembs, Björn, et al.. (2007). Flight motor performance deficits in flies with genetically altered biogenic amine levels. University of Regensburg Publication Server (University of Regensburg). 2 indexed citations
16.
Ryglewski, Stefanie, et al.. (2007). Expanding the Neuron's Calcium Signaling Repertoire: Intracellular Calcium Release via Voltage-Induced PLC and IP3R Activation. PLoS Biology. 5(4). e66–e66. 35 indexed citations
17.
Puschmann, Till B., et al.. (2006). A steroid hormone affects sodium channel expression in Manduca central neurons. Cell and Tissue Research. 325(1). 175–187. 5 indexed citations
18.
Duch, Carsten, et al.. (2006). Developmental changes of CaMKII localization, activity and function during postembryonic CNS remodelling in Manduca sexta. European Journal of Neuroscience. 23(2). 335–349. 13 indexed citations
19.
Duch, Carsten, et al.. (2001). Nerve–Muscle Interactions Regulate Motor Terminal Growth and Myoblast Distribution during Muscle Development. Developmental Biology. 231(2). 348–363. 17 indexed citations
20.
Duch, Carsten, et al.. (1999). Distribution and activation of different types of octopaminergic DUM neurons in the locust. The Journal of Comparative Neurology. 403(1). 119–134. 51 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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