Stefan Kins

4.0k total citations
72 papers, 3.0k citations indexed

About

Stefan Kins is a scholar working on Physiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Stefan Kins has authored 72 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Physiology, 43 papers in Molecular Biology and 27 papers in Cell Biology. Recurrent topics in Stefan Kins's work include Alzheimer's disease research and treatments (48 papers), Cellular transport and secretion (20 papers) and Neuroscience and Neuropharmacology Research (16 papers). Stefan Kins is often cited by papers focused on Alzheimer's disease research and treatments (48 papers), Cellular transport and secretion (20 papers) and Neuroscience and Neuropharmacology Research (16 papers). Stefan Kins collaborates with scholars based in Germany, United States and Switzerland. Stefan Kins's co-authors include Joachim Kirsch, Heinrich Betz, Jürgen Götz, Roger M. Nitsch, Simone Eggert, Ulrike Müller, Konrad Beyreuther, Gerardo Morfini, Katja Wagner and Anita Szodorai and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Stefan Kins

72 papers receiving 2.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Kins Germany 32 1.6k 1.6k 1.0k 798 306 72 3.0k
Gopal Thinakaran United States 14 1.5k 0.9× 2.1k 1.3× 644 0.6× 474 0.6× 598 2.0× 21 2.8k
Wataru Araki Japan 26 1.1k 0.7× 1.5k 0.9× 514 0.5× 413 0.5× 448 1.5× 81 2.4k
Cláudia G. Almeida Portugal 19 1.4k 0.9× 2.5k 1.6× 1.4k 1.4× 601 0.8× 685 2.2× 35 3.5k
Agnieszka Staniszewski United States 22 1.2k 0.8× 1.4k 0.9× 723 0.7× 387 0.5× 581 1.9× 29 2.5k
Katrien Horré Belgium 20 2.0k 1.3× 1.5k 0.9× 573 0.6× 292 0.4× 416 1.4× 25 3.2k
Jiro Takano Japan 22 1.1k 0.7× 1.2k 0.7× 766 0.8× 610 0.8× 277 0.9× 26 2.5k
Malika Hamdane France 29 1.2k 0.7× 1.4k 0.9× 698 0.7× 303 0.4× 364 1.2× 57 2.7k
Joshua M. Shulman United States 20 1.2k 0.7× 1.3k 0.8× 644 0.6× 520 0.7× 366 1.2× 36 2.4k
Marie‐Christine Galas France 33 2.1k 1.3× 1.4k 0.8× 1.3k 1.3× 592 0.7× 241 0.8× 73 3.5k
Reisuke H. Takahashi Japan 21 1.4k 0.9× 2.5k 1.6× 1.1k 1.1× 542 0.7× 674 2.2× 33 3.6k

Countries citing papers authored by Stefan Kins

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kins

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kins. A scholar is included among the top collaborators of Stefan Kins 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 Stefan Kins. Stefan Kins 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.
Kins, Stefan, et al.. (2025). How neurons cope with oxidative stress. Biological Chemistry. 406(5-7). 219–228. 3 indexed citations
2.
Bakuradze, Tamara, et al.. (2024). Influence of Bilberry Extract on Neuronal Cell Toxicity. Biology. 13(6). 376–376. 2 indexed citations
3.
Eggert, Simone, et al.. (2020). The Rab5 activator RME-6 is required for amyloid precursor protein endocytosis depending on the YTSI motif. Cellular and Molecular Life Sciences. 77(24). 5223–5242. 6 indexed citations
4.
Kins, Stefan, et al.. (2020). The amyloid precursor protein affects glyceraldehyde 3-phosphate dehydrogenase levels, organelle localisation and thermal stability. Molecular Biology Reports. 47(4). 3019–3024. 6 indexed citations
5.
Ludewig, Susann, Jonathan Stephan, Marius Zimmermann, et al.. (2017). APLP1 Is a Synaptic Cell Adhesion Molecule, Supporting Maintenance of Dendritic Spines and Basal Synaptic Transmission. Journal of Neuroscience. 37(21). 5345–5365. 56 indexed citations
6.
Storck, Steffen E., Carolin Thomas, Anne Junker, et al.. (2017). LRP1 Modulates APP Intraneuronal Transport and Processing in Its Monomeric and Dimeric State. Frontiers in Molecular Neuroscience. 10. 118–118. 12 indexed citations
7.
Wild, Klemens, et al.. (2017). Structure and Synaptic Function of Metal Binding to the Amyloid Precursor Protein and its Proteolytic Fragments. Frontiers in Molecular Neuroscience. 10. 21–21. 31 indexed citations
8.
Haubrich, Kevin, Simone Eggert, Günter Stier, et al.. (2017). Fe65-PTB2 Dimerization Mimics Fe65-APP Interaction. Frontiers in Molecular Neuroscience. 10. 140–140. 12 indexed citations
9.
Schmidt, Nadine, Carmen Vargas, Ramona Weber, et al.. (2014). Amyloid Precursor Protein Dimerization and Synaptogenic Function Depend on Copper Binding to the Growth Factor-Like Domain. Journal of Neuroscience. 34(33). 11159–11172. 88 indexed citations
10.
Soba, Peter, Tobias Hartmann, Katja Wagner, et al.. (2014). Shedding of APP limits its synaptogenic activity and cell adhesion properties. Frontiers in Cellular Neuroscience. 8. 410–410. 38 indexed citations
11.
Riemer, Jan & Stefan Kins. (2012). Axonal Transport and Mitochondrial Dysfunction in Alzheimer's Disease. Neurodegenerative Diseases. 12(3). 111–124. 34 indexed citations
12.
Rusu, Patricia M., Anna Jansen, Peter Soba, et al.. (2007). Axonal accumulation of synaptic markers in APP transgenic Drosophila depends on the NPTY motif and is paralleled by defects in synaptic plasticity. European Journal of Neuroscience. 25(4). 1079–1086. 34 indexed citations
13.
Götz, Jürgen, Lars M. Ittner, & Stefan Kins. (2006). Do axonal defects in tau and amyloid precursor protein transgenic animals model axonopathy in Alzheimer's disease?. Journal of Neurochemistry. 98(4). 993–1006. 101 indexed citations
14.
Kuan, Yung‐Hui, Peter Soba, Simone Eggert, et al.. (2006). PAT1a Modulates Intracellular Transport and Processing of Amyloid Precursor Protein (APP), APLP1, and APLP2. Journal of Biological Chemistry. 281(52). 40114–40123. 32 indexed citations
15.
Lazarov, Orly, Gerardo Morfini, Edward B. Lee, et al.. (2005). Axonal Transport, Amyloid Precursor Protein, Kinesin-1, and the Processing Apparatus: Revisited. Journal of Neuroscience. 25(9). 2386–2395. 180 indexed citations
16.
Kins, Stefan, et al.. (2005). The novel cytosolic RING finger protein dactylidin is up‐regulated in brains of patients with Alzheimer's disease. European Journal of Neuroscience. 21(5). 1289–1298. 17 indexed citations
17.
Kins, Stefan, et al.. (2001). Identification of a Gephyrin-Binding Motif in the GDP/GTP Exchange Factor Collybistin. Biological Chemistry. 382(10). 1455–1462. 38 indexed citations
18.
19.
Kins, Stefan, Arames Crameri, David R. Evans, et al.. (2001). Reduced Protein Phosphatase 2A Activity Induces Hyperphosphorylation and Altered Compartmentalization of Tau in Transgenic Mice. Journal of Biological Chemistry. 276(41). 38193–38200. 172 indexed citations
20.
Kins, Stefan, Heinrich Betz, & Joachim Kirsch. (2000). Collybistin, a newly identified brain-specific GEF, induces submembrane clustering of gephyrin. Nature Neuroscience. 3(1). 22–29. 230 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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