Jürgen Zschocke

5.3k total citations
19 papers, 904 citations indexed

About

Jürgen Zschocke is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Jürgen Zschocke has authored 19 papers receiving a total of 904 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cell Biology. Recurrent topics in Jürgen Zschocke's work include Epigenetics and DNA Methylation (5 papers), Signaling Pathways in Disease (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Jürgen Zschocke is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Signaling Pathways in Disease (4 papers) and Genetics and Neurodevelopmental Disorders (4 papers). Jürgen Zschocke collaborates with scholars based in Germany, Netherlands and United States. Jürgen Zschocke's co-authors include Theo Rein, Nadhim Bayatti, Christian Behl, Nici Zimmermann, Jürgen Engele, Thomas Kirmeier, Manfred Uhr, Maciej Figiel, Albrecht M. Clement and Barbara Berning and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemical Journal.

In The Last Decade

Jürgen Zschocke

19 papers receiving 896 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jürgen Zschocke Germany 15 434 236 170 152 124 19 904
М. И. Шадрина Russia 18 519 1.2× 334 1.4× 139 0.8× 94 0.6× 74 0.6× 111 1.2k
P. A. Slominsky Russia 20 609 1.4× 377 1.6× 137 0.8× 91 0.6× 91 0.7× 126 1.4k
Yi-Ling Yang Taiwan 18 390 0.9× 294 1.2× 61 0.4× 196 1.3× 78 0.6× 30 1.2k
Yun Ha Jeong South Korea 15 444 1.0× 248 1.1× 175 1.0× 156 1.0× 54 0.4× 24 1.3k
Madhara Udawela Australia 22 951 2.2× 731 3.1× 211 1.2× 101 0.7× 87 0.7× 39 1.7k
Erik I. Charych United States 15 747 1.7× 492 2.1× 283 1.7× 169 1.1× 27 0.2× 18 1.3k
Katerina V. Savelieva United States 15 346 0.8× 295 1.3× 48 0.3× 82 0.5× 39 0.3× 24 797
Kazuya Toriumi Japan 22 568 1.3× 254 1.1× 173 1.0× 39 0.3× 47 0.4× 57 1.1k
Neena Kushwaha Canada 9 599 1.4× 463 2.0× 86 0.5× 136 0.9× 37 0.3× 10 1.1k
Éva M. Szegő Germany 22 670 1.5× 512 2.2× 110 0.6× 86 0.6× 157 1.3× 38 1.8k

Countries citing papers authored by Jürgen Zschocke

Since Specialization
Citations

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

Fields of papers citing papers by Jürgen Zschocke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jürgen Zschocke

This figure shows the co-authorship network connecting the top 25 collaborators of Jürgen Zschocke. A scholar is included among the top collaborators of Jürgen Zschocke 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 Jürgen Zschocke. Jürgen Zschocke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Gassen, Nils C., Jakob Hartmann, Anthony S. Zannas, et al.. (2015). FKBP51 inhibits GSK3β and augments the effects of distinct psychotropic medications. Molecular Psychiatry. 21(2). 277–289. 49 indexed citations
2.
Gassen, Nils C., Jakob Hartmann, Jürgen Zschocke, et al.. (2014). Association of FKBP51 with Priming of Autophagy Pathways and Mediation of Antidepressant Treatment Response: Evidence in Cells, Mice, and Humans. PLoS Medicine. 11(11). e1001755–e1001755. 131 indexed citations
3.
Wong, Michael, Nils C. Gassen, Jürgen Zschocke, et al.. (2014). Hsp70 Cochaperones HspBP1 and BAG-1M Differentially Regulate Steroid Hormone Receptor Function. PLoS ONE. 9(1). e85415–e85415. 23 indexed citations
4.
Zschocke, Jürgen, Paul L. Weber, Nici Zimmermann, & Theo Rein. (2013). Comparison of Glucocorticoid Receptor- and Epigenetically Regulated Genes in Proliferating Versus Growth-Arrested Neuro-2a Cells. CNS & Neurological Disorders - Drug Targets. 999(999). 25–26. 1 indexed citations
5.
Rein, Theo, et al.. (2012). The CpG island shore of the GLT‐1 gene acts as a methylation‐sensitive enhancer. Glia. 60(9). 1345–1355. 26 indexed citations
6.
Zimmermann, Nici, et al.. (2012). Antidepressants inhibit DNA methyltransferase 1 through reducing G9a levels. Biochemical Journal. 448(1). 93–102. 56 indexed citations
7.
Zschocke, Jürgen, Nils C. Gassen, & Theo Rein. (2012). Interrelation of Major Depression and Antidepressant Transcriptomics. 1(4). 284–300. 1 indexed citations
8.
Zschocke, Jürgen, et al.. (2011). Antidepressant Drugs Diversely Affect Autophagy Pathways in Astrocytes and Neurons—Dissociation from Cholesterol Homeostasis. Neuropsychopharmacology. 36(8). 1754–1768. 88 indexed citations
9.
Zimmermann, Nici, et al.. (2011). P.1.024 The epigenetic machinery of neural cells is modulated by psychoactive drugs. European Neuropsychopharmacology. 21. S21–S22. 1 indexed citations
10.
Zschocke, Jürgen & Theo Rein. (2011). Antidepressants encounter autophagy in neural cells. Autophagy. 7(10). 1247–1248. 25 indexed citations
11.
Lang‐Rollin, Isabelle, C. Kozany, Jürgen Zschocke, et al.. (2009). XAP2 inhibits glucocorticoid receptor activity in mammalian cells. FEBS Letters. 583(9). 1493–1498. 33 indexed citations
12.
Zimmermann, Nici, Thomas Kirmeier, Francesca Tuorto, et al.. (2009). Valproate and Amitriptyline Exert Common and Divergent Influences on Global and Gene Promoter-Specific Chromatin Modifications in Rat Primary Astrocytes. Neuropsychopharmacology. 35(3). 792–805. 96 indexed citations
13.
Zschocke, Jürgen, et al.. (2007). DNA methylation dependent silencing of the human glutamate transporter EAAT2 gene in glial cells. Glia. 55(7). 663–674. 49 indexed citations
14.
Zschocke, Jürgen, Nadhim Bayatti, Albrecht M. Clement, et al.. (2005). Differential Promotion of Glutamate Transporter Expression and Function by Glucocorticoids in Astrocytes from Various Brain Regions. Journal of Biological Chemistry. 280(41). 34924–34932. 112 indexed citations
15.
Zschocke, Jürgen, Nadhim Bayatti, & Christian Behl. (2004). Caveolin and GLT‐1 gene expression is reciprocally regulated in primary astrocytes: Association of GLT‐1 with non‐caveolar lipid rafts. Glia. 49(2). 275–287. 32 indexed citations
16.
Zschocke, Jürgen, Dieter Manthey, Nadhim Bayatti, & Christian Behl. (2003). Functional interaction of estrogen receptor α and caveolin isoforms in neuronal SK-N-MC cells. The Journal of Steroid Biochemistry and Molecular Biology. 84(2-3). 167–170. 8 indexed citations
17.
Zendman, Albert J.W., Jürgen Zschocke, Annemieke A. van Kraats, et al.. (2003). The human SPANX multigene family: genomic organization, alignment and expression in male germ cells and tumor cell lines. Gene. 309(2). 125–133. 46 indexed citations
18.
Bayatti, Nadhim, Jürgen Zschocke, & Christian Behl. (2003). Brain Region-Specific Neuroprotective Action and Signaling of Corticotropin-Releasing Hormone in Primary Neurons. Endocrinology. 144(9). 4051–4060. 71 indexed citations
19.
Zschocke, Jürgen, Dieter Manthey, Nadhim Bayatti, et al.. (2002). Estrogen Receptor α-mediated Silencing of Caveolin Gene Expression in Neuronal Cells. Journal of Biological Chemistry. 277(41). 38772–38780. 56 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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