Christian Fuhrer

1.9k total citations
27 papers, 1.6k citations indexed

About

Christian Fuhrer is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christian Fuhrer has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Cell Biology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christian Fuhrer's work include Ion channel regulation and function (14 papers), Glycosylation and Glycoproteins Research (6 papers) and Cellular transport and secretion (6 papers). Christian Fuhrer is often cited by papers focused on Ion channel regulation and function (14 papers), Glycosylation and Glycoproteins Research (6 papers) and Cellular transport and secretion (6 papers). Christian Fuhrer collaborates with scholars based in Switzerland, United States and United Kingdom. Christian Fuhrer's co-authors include Raffaella Willmann, Martin Spiess, Zach W. Hall, I Geffen, Andreas Wiesner, Steven J. Burden, Janice E. Sugiyama, Jean‐Marc Fritschy, Medha Gautam and Kristin Baer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Christian Fuhrer

27 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
Christian Fuhrer Switzerland 23 1.3k 566 456 127 111 27 1.6k
Elizabeth D. Apel United States 15 1.3k 1.0× 527 0.9× 407 0.9× 124 1.0× 66 0.6× 18 1.6k
Jan De Mey Belgium 19 1.4k 1.0× 847 1.5× 381 0.8× 96 0.8× 228 2.1× 28 1.9k
Zach W. Hall United States 25 1.6k 1.2× 605 1.1× 440 1.0× 186 1.5× 134 1.2× 42 1.9k
Vladislav V. Kiselyov Denmark 22 1.2k 0.9× 509 0.9× 407 0.9× 113 0.9× 48 0.4× 39 1.8k
Cecı́lia Conde Argentina 15 1.2k 0.9× 594 1.0× 776 1.7× 179 1.4× 88 0.8× 28 1.9k
Thomas B. Kuhn United States 23 994 0.7× 896 1.6× 670 1.5× 232 1.8× 71 0.6× 37 2.0k
Jacqueline L. Mudd United States 15 1.6k 1.2× 622 1.1× 553 1.2× 143 1.1× 190 1.7× 27 2.3k
Medha Gautam United States 14 1.8k 1.4× 990 1.7× 720 1.6× 176 1.4× 255 2.3× 19 2.5k
Reiko Takemura Japan 13 1.4k 1.0× 478 0.8× 1.2k 2.6× 208 1.6× 106 1.0× 17 2.1k
Patrick D. Sarmiere United States 17 693 0.5× 439 0.8× 380 0.8× 106 0.8× 56 0.5× 19 1.2k

Countries citing papers authored by Christian Fuhrer

Since Specialization
Citations

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

Fields of papers citing papers by Christian Fuhrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Fuhrer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Fuhrer. A scholar is included among the top collaborators of Christian Fuhrer 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 Fuhrer. Christian Fuhrer 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.
2.
Baer, Kristin, Andreas Wiesner, Martijn Moransard, et al.. (2007). PICK1 interacts with α7 neuronal nicotinic acetylcholine receptors and controls their clustering. Molecular and Cellular Neuroscience. 35(2). 339–355. 29 indexed citations
3.
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Pellegrino, Christophe, Kristin Baer, Ilona Chudotvorova, et al.. (2007). Efficient transfection of DNA or shRNA vectors into neurons using magnetofection. Nature Protocols. 2(12). 3090–3101. 103 indexed citations
5.
Willmann, Raffaella, et al.. (2006). Cholesterol and lipid microdomains stabilize the postsynapse at the neuromuscular junction. The EMBO Journal. 25(17). 4050–4060. 85 indexed citations
6.
Wiesner, Andreas & Christian Fuhrer. (2006). Regulation of nicotinic acetylcholine receptors by tyrosine kinases in the peripheral and central nervous system: same players, different roles. Cellular and Molecular Life Sciences. 63(23). 2818–2828. 29 indexed citations
7.
Charpantier, Eric, Andreas Wiesner, Roch Ogier, et al.. (2005). α7 Neuronal Nicotinic Acetylcholine Receptors Are Negatively Regulated by Tyrosine Phosphorylation and Src-Family Kinases. Journal of Neuroscience. 25(43). 9836–9849. 127 indexed citations
8.
Willmann, Raffaella, et al.. (2005). Src-Family Kinases Stabilize the Neuromuscular SynapseIn Vivovia Protein Interactions, Phosphorylation, and Cytoskeletal Linkage of Acetylcholine Receptors. Journal of Neuroscience. 25(45). 10479–10493. 54 indexed citations
9.
Willmann, Raffaella, et al.. (2004). A Single Pulse of Agrin Triggers a Pathway That Acts To Cluster Acetylcholine Receptors. Molecular and Cellular Biology. 24(18). 7841–7854. 43 indexed citations
10.
Banks, Glen B., Christian Fuhrer, Marvin E. Adams, & Stanley C. Froehner. (2003). The postsynaptic submembrane machinery at the neuromuscular junction: Requirement for rapsyn and the utrophin/dystrophin-associated complex. Journal of Neurocytology. 32(5-8). 709–726. 79 indexed citations
11.
Moransard, Martijn, et al.. (2003). Agrin Regulates Rapsyn Interaction with Surface Acetylcholine Receptors, and This Underlies Cytoskeletal Anchoring and Clustering. Journal of Biological Chemistry. 278(9). 7350–7359. 86 indexed citations
12.
Fuhrer, Christian, et al.. (2002). Clustering of Nicotinic Acetylcholine Receptors: From the Neuromuscular Junction to Interneuronal Synapses. Molecular Neurobiology. 25(1). 79–112. 62 indexed citations
13.
Willmann, Raffaella & Christian Fuhrer. (2002). Neuromuscular synaptogenesis: clustering of acetylcholine receptors revisited. Cellular and Molecular Life Sciences. 59(8). 1296–1316. 58 indexed citations
14.
Fuhrer, Christian, et al.. (2001). Agrin-induced Activation of Acetylcholine Receptor-bound Src Family Kinases Requires Rapsyn and Correlates with Acetylcholine Receptor Clustering. Journal of Biological Chemistry. 276(17). 14505–14513. 75 indexed citations
15.
16.
Fuhrer, Christian. (1997). Association of muscle-specific kinase MuSK with the acetylcholine receptor in mammalian muscle. The EMBO Journal. 16(16). 4951–4960. 96 indexed citations
17.
Fuhrer, Christian & Zach W. Hall. (1996). Functional Interaction of Src Family Kinases with the Acetylcholine Receptor in C2 Myotubes. Journal of Biological Chemistry. 271(50). 32474–32481. 83 indexed citations
18.
Fuhrer, Christian, I Geffen, & Martin Spiess. (1991). Endocytosis of the ASGP receptor H1 is reduced by mutation of tyrosine-5 but still occurs via coated pits.. The Journal of Cell Biology. 114(3). 423–431. 55 indexed citations
19.
Beltzer, James, Klaus Fiedler, Christian Fuhrer, et al.. (1991). Charged residues are major determinants of the transmembrane orientation of a signal-anchor sequence.. Journal of Biological Chemistry. 266(2). 973–978. 125 indexed citations
20.
Hansen, Gert H., Christian Fuhrer, A. Thomas Look, et al.. (1990). Aminopeptidase N is directly sorted to the apical domain in MDCK cells.. The Journal of Cell Biology. 111(6). 2923–2930. 48 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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