Stephan Verleysdonk

1.6k total citations
29 papers, 1.3k citations indexed

About

Stephan Verleysdonk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biochemistry. According to data from OpenAlex, Stephan Verleysdonk has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 7 papers in Biochemistry. Recurrent topics in Stephan Verleysdonk's work include Amino Acid Enzymes and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Metabolism and Genetic Disorders (6 papers). Stephan Verleysdonk is often cited by papers focused on Amino Acid Enzymes and Metabolism (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Metabolism and Genetic Disorders (6 papers). Stephan Verleysdonk collaborates with scholars based in Germany, Switzerland and United States. Stephan Verleysdonk's co-authors include Bernd Hamprecht, Lusine Danielyan, Barbara Proksch, Christoph H. Gleiter, Marine Buadze, Luc Pellerin, Stefan Bröer, William H. Frey, Richard Schäfer and Basim Rahman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Stephan Verleysdonk

29 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
Stephan Verleysdonk Germany 18 530 468 232 228 200 29 1.3k
Ann C. Price United States 13 747 1.4× 491 1.0× 277 1.2× 107 0.5× 287 1.4× 17 1.8k
Toshio Masuzawa Japan 23 635 1.2× 502 1.1× 128 0.6× 120 0.5× 132 0.7× 97 1.7k
M J During United States 22 1.0k 2.0× 1.1k 2.4× 83 0.4× 124 0.5× 174 0.9× 28 2.1k
Hisaaki Takahashi Japan 25 551 1.0× 371 0.8× 115 0.5× 171 0.8× 213 1.1× 46 1.8k
Shogo Ishiuchi Japan 21 818 1.5× 544 1.2× 429 1.8× 219 1.0× 110 0.6× 61 1.8k
Jasper J. Anink Netherlands 30 1.1k 2.1× 657 1.4× 282 1.2× 81 0.4× 517 2.6× 68 2.5k
Yang Yuan United States 16 623 1.2× 358 0.8× 103 0.4× 71 0.3× 190 0.9× 38 1.3k
Jojanneke H.J. Huck Netherlands 13 361 0.7× 605 1.3× 40 0.2× 215 0.9× 102 0.5× 15 1.3k
Yiting Liu China 15 687 1.3× 416 0.9× 137 0.6× 548 2.4× 241 1.2× 33 1.9k
Ning Wang China 21 1.2k 2.3× 727 1.6× 161 0.7× 60 0.3× 638 3.2× 137 2.5k

Countries citing papers authored by Stephan Verleysdonk

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Verleysdonk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Verleysdonk

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Verleysdonk. A scholar is included among the top collaborators of Stephan Verleysdonk 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 Stephan Verleysdonk. Stephan Verleysdonk 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.
Lourhmati, Ali, Gayane Hrachia Buniatian, Stephan Verleysdonk, et al.. (2013). Age-Dependent Astroglial Vulnerability to Hypoxia and Glutamate: The Role for Erythropoietin. PLoS ONE. 8(10). e77182–e77182. 26 indexed citations
2.
Danielyan, Lusine, Richard Schäfer, Andreas von Ameln-Mayerhofer, et al.. (2009). Intranasal delivery of cells to the brain. European Journal of Cell Biology. 88(6). 315–324. 284 indexed citations
3.
Kowtharapu, Bhavani S., et al.. (2009). Lentiviral Transfection of Ependymal Primary Cultures Facilitates the Characterisation of Kinocilia-specific Promoters. Neurochemical Research. 34(8). 1380–1392. 1 indexed citations
4.
Danielyan, Lusine, Richard Schäfer, Anja Schulz, et al.. (2009). Survival, neuron-like differentiation and functionality of mesenchymal stem cells in neurotoxic environment: the critical role of erythropoietin. Cell Death and Differentiation. 16(12). 1599–1614. 48 indexed citations
5.
Murín, Radovan, et al.. (2008). Expression of Pyruvate Carboxylase in Cultured Oligodendroglial, Microglial and Ependymal Cells. Neurochemical Research. 34(3). 480–489. 24 indexed citations
6.
Schmid, Heide, et al.. (2008). Expression of the Brain and Muscle Isoforms of Glycogen Phosphorylase in Rat Heart. Neurochemical Research. 34(3). 581–586. 17 indexed citations
7.
Schmid, Heide, et al.. (2008). Renal Expression of the Brain and Muscle Isoforms of Glycogen Phosphorylase in Different Cell Types. Neurochemical Research. 33(12). 2575–2582. 8 indexed citations
8.
9.
Danielyan, Lusine, Ali Lourhmati, Stephan Verleysdonk, et al.. (2007). Angiotensin Receptor Type 1 Blockade in Astroglia Decreases Hypoxia-Induced Cell Damage and TNF Alpha Release. Neurochemical Research. 32(9). 1489–1498. 21 indexed citations
10.
Tritschler, Felix, Radovan Murín, Barbara Birk, et al.. (2007). Thrombin causes the Enrichment of Rat Brain Primary Cultures with Ependymal Cells Via Protease-Activated Receptor 1. Neurochemical Research. 32(6). 1028–1035. 6 indexed citations
11.
Murín, Radovan, Stephan Verleysdonk, Luc Raeymaekers, Peter Kaplán, & Ján Lehotský. (2006). Distribution of Secretory Pathway Ca2+ ATPase (SPCA1) in Neuronal and Glial Cell Cultures. Cellular and Molecular Neurobiology. 26(7-8). 1353–1363. 21 indexed citations
12.
Murín, Radovan, et al.. (2006). Immunocytochemical localization of 3‐methylcrotonyl‐CoA carboxylase in cultured ependymal, microglial and oligodendroglial cells. Journal of Neurochemistry. 97(5). 1393–1402. 11 indexed citations
13.
Verleysdonk, Stephan, et al.. (2005). Glycogen metabolism in rat ependymal primary cultures: Regulation by serotonin. Brain Research. 1060(1-2). 89–99. 13 indexed citations
14.
15.
Verleysdonk, Stephan, et al.. (2004). Uptake and Metabolism of Serotonin by Ependymal Primary Cultures. Neurochemical Research. 29(9). 1739–1747. 11 indexed citations
16.
Hamprecht, Bernd, et al.. (2003). Atrial Natriuretic Peptides Elevate Cyclic GMP Levels in Primary Cultures of Rat Ependymal Cells. Neurochemical Research. 28(2). 225–233. 7 indexed citations
17.
Berger, Jürgen, et al.. (2001). Primary cultures as a model for studying ependymal functions: glycogen metabolism in ependymal cells. Brain Research. 920(1-2). 74–83. 33 indexed citations
18.
Verleysdonk, Stephan, et al.. (1999). Rapid uptake and degradation of glycine by astroglial cells in culture: Synthesis and release of serine and lactate. Glia. 27(3). 239–248. 55 indexed citations
19.
Dringen, Ralf, Stephan Verleysdonk, Bernd Hamprecht, et al.. (1998). Metabolism of Glycine in Primary Astroglial Cells: Synthesis of Creatine, Serine, and Glutathione. Journal of Neurochemistry. 70(2). 835–840. 64 indexed citations
20.
Bröer, Stefan, Basim Rahman, Luc Pellerin, et al.. (1997). Comparison of Lactate Transport in Astroglial Cells and Monocarboxylate Transporter 1 (MCT 1) Expressing Xenopus laevis Oocytes. Journal of Biological Chemistry. 272(48). 30096–30102. 281 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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