Andreas W. Püschel

5.5k total citations
52 papers, 4.0k citations indexed

About

Andreas W. Püschel is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Andreas W. Püschel has authored 52 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Cellular and Molecular Neuroscience, 27 papers in Cell Biology and 26 papers in Molecular Biology. Recurrent topics in Andreas W. Püschel's work include Axon Guidance and Neuronal Signaling (36 papers), Neurogenesis and neuroplasticity mechanisms (15 papers) and Hippo pathway signaling and YAP/TAZ (14 papers). Andreas W. Püschel is often cited by papers focused on Axon Guidance and Neuronal Signaling (36 papers), Neurogenesis and neuroplasticity mechanisms (15 papers) and Hippo pathway signaling and YAP/TAZ (14 papers). Andreas W. Püschel collaborates with scholars based in Germany, United States and Japan. Andreas W. Püschel's co-authors include Jens C. Schwamborn, Marion Lohrum, Heinrich Betz, Ralf H. Adams, Iiris Hovatta, Dominique Bagnard, Daniela Uziel, Jürgen Bolz, Sarah Guthrie and Alfredo Varela‐Echavarría and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Andreas W. Püschel

52 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas W. Püschel Germany 33 3.0k 2.1k 1.4k 1.1k 210 52 4.0k
Dennis S. Rice United States 30 1.8k 0.6× 2.9k 1.4× 858 0.6× 1.6k 1.5× 73 0.3× 55 5.0k
Bernhard K. Mueller Germany 26 2.4k 0.8× 1.6k 0.8× 745 0.6× 1.1k 1.0× 43 0.2× 38 3.7k
Fumikazu Suto Japan 23 1.5k 0.5× 1.0k 0.5× 615 0.5× 504 0.5× 131 0.6× 32 2.0k
Hiroyuki Kamiguchi Japan 37 2.0k 0.7× 1.9k 0.9× 1.6k 1.2× 758 0.7× 50 0.2× 85 3.8k
Michael W. Sereda Germany 31 2.7k 0.9× 1.6k 0.8× 546 0.4× 1.3k 1.2× 46 0.2× 48 4.6k
Fabienne Lamballe France 22 3.0k 1.0× 2.1k 1.0× 278 0.2× 1.4k 1.3× 95 0.5× 36 4.4k
Feng‐Quan Zhou United States 30 1.9k 0.6× 1.9k 0.9× 838 0.6× 807 0.8× 53 0.3× 51 3.8k
Barbara A. Barres United States 16 2.6k 0.9× 2.7k 1.3× 331 0.2× 1.3k 1.2× 59 0.3× 22 4.7k
Karina F. Meiri United States 28 1.5k 0.5× 1.3k 0.6× 609 0.4× 612 0.6× 123 0.6× 52 2.6k
Peter Tapley United States 19 2.2k 0.7× 2.0k 1.0× 399 0.3× 883 0.8× 57 0.3× 21 3.8k

Countries citing papers authored by Andreas W. Püschel

Since Specialization
Citations

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

Fields of papers citing papers by Andreas W. Püschel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas W. Püschel. 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 Andreas W. Püschel. The network helps show where Andreas W. Püschel may publish in the future.

Co-authorship network of co-authors of Andreas W. Püschel

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas W. Püschel. A scholar is included among the top collaborators of Andreas W. Püschel 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 Andreas W. Püschel. Andreas W. Püschel 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.
Püschel, Andreas W., et al.. (2022). An isoform-specific function of Cdc42 in regulating mammalian Exo70 during axon formation. Life Science Alliance. 6(3). e202201722–e202201722. 2 indexed citations
2.
Zhao, Xiao‐Feng, Yuntao Duan, Matthew J. Korn, et al.. (2018). PlexinA2 Forward Signaling through Rap1 GTPases Regulates Dentate Gyrus Development and Schizophrenia-like Behaviors. Cell Reports. 22(2). 456–470. 29 indexed citations
3.
Wang, Nannan, et al.. (2018). The Sema3A receptor Plexin-A1 suppresses supernumerary axons through Rap1 GTPases. Scientific Reports. 8(1). 15647–15647. 10 indexed citations
4.
Tobon, Alejandro, Jing Jin, Alessandro Vitriolo, et al.. (2018). The guanine nucleotide exchange factor Arhgef7/βPix promotes axon formation upstream of TC10. Scientific Reports. 8(1). 8811–8811. 24 indexed citations
5.
Menon, Sindhu, et al.. (2018). The loss of the kinases SadA and SadB results in early neuronal apoptosis and a reduced number of progenitors. PLoS ONE. 13(4). e0196698–e0196698. 10 indexed citations
6.
Shah, Bhavin, Magdalena L. Bochenek, Katsuhiro Kato, et al.. (2016). C3G/Rapgef1 Is Required in Multipolar Neurons for the Transition to a Bipolar Morphology during Cortical Development. PLoS ONE. 11(4). e0154174–e0154174. 20 indexed citations
7.
Li, Yinghua, Hendrikje Werner, & Andreas W. Püschel. (2008). Rheb and mTOR Regulate Neuronal Polarity through Rap1B. Journal of Biological Chemistry. 283(48). 33784–33792. 59 indexed citations
8.
Püschel, Andreas W.. (2007). GTPases in Semaphorin Signaling. Advances in experimental medicine and biology. 600. 12–23. 54 indexed citations
9.
Probst, Barbara, Rebecca E. Rock, Manfred Gessler, Andrea Vortkamp, & Andreas W. Püschel. (2007). The rodent Four-jointed ortholog Fjx1 regulates dendrite extension. Developmental Biology. 312(1). 461–470. 34 indexed citations
11.
Schwamborn, Jens C. & Andreas W. Püschel. (2004). The sequential activity of the GTPases Rap1B and Cdc42 determines neuronal polarity. Nature Neuroscience. 7(9). 923–929. 317 indexed citations
12.
Serini, Guido, Donatella Valdembri, Sara Zanivan, et al.. (2003). Class 3 semaphorins control vascular morphogenesis by inhibiting integrin function. Nature. 424(6947). 391–397. 477 indexed citations
13.
Beck, Heike, Till Acker, Andreas W. Püschel, et al.. (2002). Cell Type-Specific Expression of Neuropilins in an MCA-Occlusion Model in Mice Suggests a Potential Role in Post-Ischemic Brain Remodeling. Journal of Neuropathology & Experimental Neurology. 61(4). 339–350. 90 indexed citations
14.
Püschel, Andreas W.. (2002). The Function of Neuropilin/Plexin Complexes. Advances in experimental medicine and biology. 515. 71–80. 28 indexed citations
15.
Henke‐Fahle, Sigrid, et al.. (2001). Differential Responsiveness to the Chemorepellent Semaphorin 3A Distinguishes Ipsi- and Contralaterally Projecting Axons in the Chick Midbrain. Developmental Biology. 237(2). 381–397. 10 indexed citations
16.
Lohrum, Marion, et al.. (2000). Plexin/neuropilin complexes mediate repulsion by the axonal guidance signal semaphorin 3A. Mechanisms of Development. 93(1-2). 95–104. 198 indexed citations
17.
Püschel, Andreas W.. (1999). Divergent properties of mouse netrins. Mechanisms of Development. 83(1-2). 65–75. 28 indexed citations
18.
Lohrum, Marion, et al.. (1998). The Chemorepulsive Activity of the Axonal Guidance Signal Semaphorin D Requires Dimerization. Journal of Biological Chemistry. 273(13). 7326–7331. 91 indexed citations
19.
Varela‐Echavarría, Alfredo, et al.. (1997). Motor Axon Subpopulations Respond Differentially to the Chemorepellents Netrin-1 and Semaphorin D. Neuron. 18(2). 193–207. 216 indexed citations
20.
Püschel, Andreas W.. (1996). The Semaphorins: A Family of Axonal Guidance Molecules?. European Journal of Neuroscience. 8(7). 1317–1321. 61 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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