Cyril Hanus

2.1k total citations
23 papers, 1.5k citations indexed

About

Cyril Hanus is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Cyril Hanus has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 12 papers in Cell Biology and 9 papers in Cellular and Molecular Neuroscience. Recurrent topics in Cyril Hanus's work include Lipid Membrane Structure and Behavior (10 papers), Cellular transport and secretion (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Cyril Hanus is often cited by papers focused on Lipid Membrane Structure and Behavior (10 papers), Cellular transport and secretion (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Cyril Hanus collaborates with scholars based in Germany, France and United States. Cyril Hanus's co-authors include Erin M. Schuman, Michael Ehlers, Antoine Triller, Susanne tom Dieck, Christian Vannier, Matthew J. Kennedy, Lisa Kochen, Ina Bartnik, David A. Tirrell and Belquis Nassim-Assir and has published in prestigious journals such as Cell, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Cyril Hanus

23 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cyril Hanus Germany 18 1.0k 633 550 117 102 23 1.5k
Srikanth Dakoji United States 13 903 0.9× 599 0.9× 442 0.8× 86 0.7× 48 0.5× 16 1.4k
Debanjan Goswami United States 13 1.5k 1.4× 469 0.7× 454 0.8× 88 0.8× 35 0.3× 17 2.0k
Rujun Kang Canada 20 1.6k 1.6× 1.0k 1.7× 671 1.2× 148 1.3× 95 0.9× 23 2.2k
Jia Xu United States 17 1.6k 1.5× 516 0.8× 624 1.1× 166 1.4× 34 0.3× 45 2.2k
Dino A. De Angelis United States 10 1.8k 1.7× 840 1.3× 693 1.3× 156 1.3× 52 0.5× 10 2.5k
Joel Schwartz United States 17 1.6k 1.5× 793 1.3× 365 0.7× 281 2.4× 139 1.4× 17 2.7k
Karen Wu United States 11 1.5k 1.4× 402 0.6× 179 0.3× 136 1.2× 90 0.9× 15 2.0k
Shyam S. Krishnakumar United States 26 1.4k 1.3× 379 0.6× 889 1.6× 115 1.0× 30 0.3× 50 1.7k
Pascal Kessler France 21 924 0.9× 368 0.6× 279 0.5× 113 1.0× 28 0.3× 32 1.6k
Don B. Arnold United States 21 924 0.9× 790 1.2× 519 0.9× 59 0.5× 104 1.0× 35 1.7k

Countries citing papers authored by Cyril Hanus

Since Specialization
Citations

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

Fields of papers citing papers by Cyril Hanus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Hanus

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Hanus. A scholar is included among the top collaborators of Cyril Hanus 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 Cyril Hanus. Cyril Hanus 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.
Isupov, Michail N., Mathew McLaren, Cyril Hanus, et al.. (2024). Towards a molecular picture of the archaeal cell surface. Nature Communications. 15(1). 10401–10401. 2 indexed citations
2.
Isupov, Michail N., Mathew McLaren, Cyril Hanus, et al.. (2024). CryoEM reveals the structure of an archaeal pilus involved in twitching motility. Nature Communications. 15(1). 5050–5050. 8 indexed citations
3.
McLaren, Mathew, Rebecca Conners, Kelly Sanders, et al.. (2024). Structure of the two-component S-layer of the archaeon Sulfolobus acidocaldarius. eLife. 13. 15 indexed citations
4.
Reuter, Klaus, Tzu‐Jing Yang, Sören von Bülow, et al.. (2024). Rapid simulation of glycoprotein structures by grafting and steric exclusion of glycan conformer libraries. Cell. 187(5). 1296–1311.e26. 28 indexed citations
5.
Mikołajczyk, Krzysztof, Mateusz Sikora, Cyril Hanus, Radosław Kaczmarek, & Marcin Czerwiński. (2022). One of the two N-glycans on the human Gb3/CD77 synthase is essential for its activity and allosterically regulates its function. Biochemical and Biophysical Research Communications. 617(Pt 1). 36–41. 5 indexed citations
6.
Gervasi, Nicolas, et al.. (2020). Whole-Cell Photobleaching Reveals Time-Dependent Compartmentalization of Soluble Proteins by the Axon Initial Segment. Frontiers in Cellular Neuroscience. 14. 180–180. 4 indexed citations
7.
Alvarez‐Castelao, Beatriz, Cyril Hanus, Caspar Glock, et al.. (2017). Cell-type-specific metabolic labeling of nascent proteomes in vivo. Nature Biotechnology. 35(12). 1196–1201. 146 indexed citations
8.
Bowen, Aaron B., Ashley M. Bourke, Brian G. Hiester, Cyril Hanus, & Matthew J. Kennedy. (2017). Golgi-independent secretory trafficking through recycling endosomes in neuronal dendrites and spines. eLife. 6. 91 indexed citations
9.
Hanus, Cyril & Michael Ehlers. (2016). Specialization of biosynthetic membrane trafficking for neuronal form and function. Current Opinion in Neurobiology. 39. 8–16. 48 indexed citations
10.
Dieck, Susanne tom, Lisa Kochen, Cyril Hanus, et al.. (2015). Direct visualization of newly synthesized target proteins in situ. Nature Methods. 12(5). 411–414. 210 indexed citations
11.
Buhr, Florian, Susanne tom Dieck, Cyril Hanus, et al.. (2015). Design of Photocaged Puromycin for Nascent Polypeptide Release and Spatiotemporal Monitoring of Translation. Angewandte Chemie International Edition. 54(12). 3717–3721. 47 indexed citations
12.
Hanus, Cyril, Lisa Kochen, Susanne tom Dieck, et al.. (2014). Synaptic Control of Secretory Trafficking in Dendrites. Cell Reports. 7(6). 1771–1778. 49 indexed citations
13.
Dieck, Susanne tom, Cyril Hanus, & Erin M. Schuman. (2014). SnapShot: Local Protein Translation in Dendrites. Neuron. 81(4). 958–958.e1. 22 indexed citations
14.
Robinson, Camenzind G., et al.. (2013). The Angelman Syndrome Protein Ube3a/E6AP Is Required for Golgi Acidification and Surface Protein Sialylation. Journal of Neuroscience. 33(9). 3799–3814. 38 indexed citations
15.
Hanus, Cyril & Erin M. Schuman. (2013). Proteostasis in complex dendrites. Nature reviews. Neuroscience. 14(9). 638–648. 104 indexed citations
16.
Wang, Tingting, Cyril Hanus, Tao Cui, et al.. (2012). Local Zones of Endoplasmic Reticulum Complexity Confine Cargo in Neuronal Dendrites. Cell. 148(1-2). 309–321. 152 indexed citations
17.
Hanus, Cyril & Michael Ehlers. (2008). Secretory Outposts for the Local Processing of Membrane Cargo in Neuronal Dendrites. Traffic. 9(9). 1437–1445. 95 indexed citations
18.
Hanus, Cyril, et al.. (2007). Multiple Association States between Glycine Receptors and Gephyrin Identified by SPT Analysis. Biophysical Journal. 92(10). 3706–3718. 97 indexed citations
19.
Hanus, Cyril, et al.. (2006). Activity-Dependent Movements of Postsynaptic Scaffolds at Inhibitory Synapses. Journal of Neuroscience. 26(17). 4586–4595. 77 indexed citations
20.
Hanus, Cyril, Christian Vannier, & Antoine Triller. (2004). Intracellular Association of Glycine Receptor with Gephyrin Increases Its Plasma Membrane Accumulation Rate. Journal of Neuroscience. 24(5). 1119–1128. 66 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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