Guido Hermey

1.9k total citations
35 papers, 1.3k citations indexed

About

Guido Hermey is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Guido Hermey has authored 35 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Cell Biology and 11 papers in Physiology. Recurrent topics in Guido Hermey's work include Cellular transport and secretion (18 papers), RNA Research and Splicing (8 papers) and Receptor Mechanisms and Signaling (7 papers). Guido Hermey is often cited by papers focused on Cellular transport and secretion (18 papers), RNA Research and Splicing (8 papers) and Receptor Mechanisms and Signaling (7 papers). Guido Hermey collaborates with scholars based in Germany, Denmark and United Kingdom. Guido Hermey's co-authors include Irm Hermans‐Borgmeyer, Anders Nykjær, Jørgen Gliemann, Dietmar Kuhl, Claus Munck Petersen, Peder Madsen, Isabelle Riedel, Morten S. Nielsen, Hubert Schaller and Nils Blüthgen and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Guido Hermey

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guido Hermey Germany 21 687 490 457 346 140 35 1.3k
Mary Lou Beermann United States 26 1.2k 1.7× 650 1.3× 377 0.8× 508 1.5× 133 0.9× 49 1.8k
J. Edward van Veen United States 11 488 0.7× 362 0.7× 484 1.1× 424 1.2× 71 0.5× 16 1.6k
Tetsuji Mutoh Japan 13 1.2k 1.8× 368 0.8× 174 0.4× 288 0.8× 148 1.1× 15 1.6k
Zofia M. Lasiecka United States 11 564 0.8× 367 0.7× 206 0.5× 287 0.8× 73 0.5× 14 968
Akira Futatsugi Japan 17 903 1.3× 222 0.5× 221 0.5× 540 1.6× 73 0.5× 22 1.4k
Alexandre Favereaux France 19 636 0.9× 280 0.6× 377 0.8× 351 1.0× 61 0.4× 41 1.3k
Yolanda de Pablo Sweden 19 584 0.9× 269 0.5× 199 0.4× 298 0.9× 68 0.5× 26 1.2k
Guillermo López‐Doménech United Kingdom 18 1.1k 1.6× 225 0.5× 208 0.5× 366 1.1× 172 1.2× 21 1.5k
Yasutake Mori Japan 14 779 1.1× 406 0.8× 218 0.5× 211 0.6× 67 0.5× 20 1.2k
Jessica E. Young United States 20 1.2k 1.7× 305 0.6× 586 1.3× 772 2.2× 103 0.7× 52 1.9k

Countries citing papers authored by Guido Hermey

Since Specialization
Citations

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

Fields of papers citing papers by Guido Hermey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guido Hermey

This figure shows the co-authorship network connecting the top 25 collaborators of Guido Hermey. A scholar is included among the top collaborators of Guido Hermey 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 Guido Hermey. Guido Hermey 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.
Hermey, Guido, Sara Mole, Tatyana A. Shelkovnikova, et al.. (2023). The Batten disease protein CLN3 is important for stress granules dynamics and translational activity. Journal of Biological Chemistry. 299(5). 104649–104649. 4 indexed citations
2.
Hermey, Guido, et al.. (2022). Converging links between adult-onset neurodegenerative Alzheimer’s disease and early life neurodegenerative neuronal ceroid lipofuscinosis?. Neural Regeneration Research. 18(7). 1463–1463. 5 indexed citations
3.
Klinger, Bertram, et al.. (2020). Neuronal activity regulates alternative exon usage. Molecular Brain. 13(1). 148–148. 10 indexed citations
4.
Hermey, Guido, et al.. (2019). Amyloidosis causes downregulation of SorLA, SorCS1 and SorCS3 expression in mice. Biological Chemistry. 400(9). 1181–1189. 10 indexed citations
5.
Malik, Anna R., Guido Hermey, Oliver Popp, et al.. (2018). SORCS 1 and SORCS 3 control energy balance and orexigenic peptide production. EMBO Reports. 19(4). 36 indexed citations
6.
Blüthgen, Nils, et al.. (2017). Profiling the MAPK/ERK dependent and independent activity regulated transcriptional programs in the murine hippocampus in vivo. Scientific Reports. 7(1). 45101–45101. 41 indexed citations
7.
Eggert, Simone, Carolin Thomas, Stefan Kins, & Guido Hermey. (2017). Trafficking in Alzheimer’s Disease: Modulation of APP Transport and Processing by the Transmembrane Proteins LRP1, SorLA, SorCS1c, Sortilin, and Calsyntenin. Molecular Neurobiology. 55(7). 5809–5829. 54 indexed citations
8.
Hermey, Guido, Nils Blüthgen, & Dietmar Kuhl. (2017). Neuronal activity-regulated alternative mRNA splicing. The International Journal of Biochemistry & Cell Biology. 91(Pt B). 184–193. 18 indexed citations
9.
Eggert, Simone, Carolin Thomas, Christian Tischer, et al.. (2017). Dimerization leads to changes in APP (amyloid precursor protein) trafficking mediated by LRP1 and SorLA. Cellular and Molecular Life Sciences. 75(2). 301–322. 33 indexed citations
10.
Mahlke, Claudia, et al.. (2014). Spatiotemporal expression analysis of the growth factor receptor SorCS3. The Journal of Comparative Neurology. 522(15). 3386–3402. 25 indexed citations
11.
Hermey, Guido, Claudia Mahlke, Michael Schwake, & Tobias Sommer. (2010). Der Experimentator: Neurowissenschaften. 2 indexed citations
12.
Hermey, Guido. (2009). The Vps10p-domain receptor family. Cellular and Molecular Life Sciences. 66(16). 2677–2689. 158 indexed citations
13.
Nielsen, Morten S., Peder Madsen, Arne Engelsberg, et al.. (2008). Different Motifs Regulate Trafficking of SorCS1 Isoforms. Traffic. 9(6). 980–994. 34 indexed citations
14.
Hermey, Guido, Niels Plath, Christian A. Hübner, et al.. (2004). The three sorCS genes are differentially expressed and regulated by synaptic activity. Journal of Neurochemistry. 88(6). 1470–1476. 53 indexed citations
15.
Sørensen, Esben S., Guido Hermey, Morten S. Nielsen, et al.. (2004). Functional Organization of the Sortilin Vps10p Domain. Journal of Biological Chemistry. 279(48). 50221–50229. 66 indexed citations
16.
Hermey, Guido, Heinz Schaller, & Irm Hermans‐Borgmeyer. (2001). Transient expression of SorCS in developing telencephalic and mesencephalic structures of the mouse. Neuroreport. 12(1). 29–32. 13 indexed citations
17.
Hermey, Guido, et al.. (2001). Identification of SorCS2, a novel member of the VPS10 domain containing receptor family, prominently expressed in the developing mouse brain. Mechanisms of Development. 100(2). 335–338. 47 indexed citations
18.
Hermey, Guido, et al.. (2001). SorCS1, a member of the novel sorting receptor family, is localized in somata and dendrites of neurons throughout the murine brain. Neuroscience Letters. 313(1-2). 83–87. 28 indexed citations
19.
Hermey, Guido. (1999). Identification of a Novel Seven-Transmembrane Receptor with Homology to Glycoprotein Receptors and Its Expression in the Adult and Developing Mouse. Biochemical and Biophysical Research Communications. 254(1). 273–279. 29 indexed citations
20.
Methner, Axel, et al.. (1997). A Novel G Protein-Coupled Receptor with Homology to Neuropeptide and Chemoattractant Receptors Expressed during Bone Development. Biochemical and Biophysical Research Communications. 233(2). 336–342. 46 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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