R Paschke

713 total citations
25 papers, 596 citations indexed

About

R Paschke is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, R Paschke has authored 25 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Genetics. Recurrent topics in R Paschke's work include Receptor Mechanisms and Signaling (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Thyroid Disorders and Treatments (6 papers). R Paschke is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Thyroid Disorders and Treatments (6 papers). R Paschke collaborates with scholars based in Germany, United States and Belgium. R Paschke's co-authors include Matthias Blüher, Gilbert Vassart, J. Van Sande, Massimo Tonacchera, Jasmine Parma, H Gharib, Enrico Papini, Roberto Valcavi, P Vitti and Daniel S. Duick and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

R Paschke

25 papers receiving 573 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Paschke Germany 13 338 214 131 77 76 25 596
Christopher Cahill United States 8 193 0.6× 194 0.9× 135 1.0× 42 0.5× 32 0.4× 8 484
F Schmid Austria 16 127 0.4× 374 1.7× 104 0.8× 69 0.9× 128 1.7× 27 744
Anja Lisbeth Frederiksen Denmark 14 199 0.6× 233 1.1× 81 0.6× 39 0.5× 125 1.6× 46 552
A. Fusco Italy 12 201 0.6× 341 1.6× 139 1.1× 81 1.1× 36 0.5× 17 567
Karen Verity Australia 12 204 0.6× 233 1.1× 81 0.6× 34 0.4× 32 0.4× 12 568
Yasuo Totsuka Japan 13 144 0.4× 324 1.5× 157 1.2× 45 0.6× 26 0.3× 23 595
A. Gessi Italy 6 252 0.7× 199 0.9× 225 1.7× 25 0.3× 24 0.3× 7 542
Hany Soliman France 15 190 0.6× 209 1.0× 170 1.3× 72 0.9× 40 0.5× 27 728
Chantal Samson France 12 125 0.4× 303 1.4× 150 1.1× 64 0.8× 59 0.8× 13 592
K Megyesi United States 11 325 1.0× 367 1.7× 171 1.3× 149 1.9× 92 1.2× 22 779

Countries citing papers authored by R Paschke

Since Specialization
Citations

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

Fields of papers citing papers by R Paschke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Paschke

This figure shows the co-authorship network connecting the top 25 collaborators of R Paschke. A scholar is included among the top collaborators of R Paschke 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 R Paschke. R Paschke 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.
Jaeschke, H., et al.. (2014). Controversial Constitutive TSHR Activity: Patients, Physiology, and In Vitro Characterization. Hormone and Metabolic Research. 46(7). 453–461. 9 indexed citations
2.
Kleinau, Gunnar, H. Jaeschke, Sandra Mueller, et al.. (2008). Molecular and structural effects of inverse agonistic mutations on signaling of the thyrotropin receptor – a basally active GPCR. Cellular and Molecular Life Sciences. 65(22). 3664–3676. 19 indexed citations
3.
Jaeschke, H., et al.. (2008). Preferences of transmembrane helices for cooperative amplification of Gαs and Gαq signaling of the thyrotropin receptor. Cellular and Molecular Life Sciences. 65(24). 4028–4038. 17 indexed citations
4.
Prodinger, Christine, et al.. (2007). The TSH Receptor is Linked with AP1 and NFκB Signaling in COS7 Cells. Experimental and Clinical Endocrinology & Diabetes. 115(9). 590–593. 4 indexed citations
5.
Müller, Sabina, et al.. (2007). Significance of the hinge region of the TSHR for receptor activation and hormone binding. Experimental and Clinical Endocrinology & Diabetes. 115(S 1). 1 indexed citations
6.
Kralisch, S, Matthias Blüher, R Paschke, Michael Stümvoll, & Mathias Faßhauer. (2006). Adipokines and Adipocyte Targets in the Future Management of Obesity and the Metabolic Syndrome. Mini-Reviews in Medicinal Chemistry. 7(1). 39–45. 52 indexed citations
7.
Holzapfel, H., et al.. (2005). Decreased Expression of G-Protein Coupled Receptor Kinase 2 in Cold Thyroid Nodules. Experimental and Clinical Endocrinology & Diabetes. 113(2). 102–106. 2 indexed citations
8.
Paschke, R, et al.. (2004). Die Knotenstruma. Die molekulare Entstehung - Konsequenzen für die Therapie?. Zentralblatt für Chirurgie - Zeitschrift für Allgemeine Viszeral- Thorax- und Gefäßchirurgie. 129(5). 356–362. 3 indexed citations
9.
Eszlinger, Markus, et al.. (2004). RGS 2 expression is regulated by TSH and inhibits TSH receptor signaling. European Journal of Endocrinology. 151(3). 383–390. 21 indexed citations
10.
Meyer, Stephan, et al.. (2004). Increased expression of G-protein-coupled receptor kinases 3 and 4 in hyperfunctioning thyroid nodules. Journal of Endocrinology. 182(1). 173–182. 24 indexed citations
11.
Blüher, Matthias & R Paschke. (2003). Analysis of the Relationship between PPAR-γ 2 Gene Variants and Severe Insulin Resistance in Obese Patients with Impaired Glucose Tolerance. Experimental and Clinical Endocrinology & Diabetes. 111(2). 85–90. 29 indexed citations
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14.
Lohmann, Tobias, Jüergen Kratzsch, K Kellner, et al.. (2001). Severe hypoglycemia due to insulin autoimmune syndrome with insulin autoantibodies crossreactive to proinsulin. Experimental and Clinical Endocrinology & Diabetes. 109(4). 245–248. 9 indexed citations
15.
Miedlich, Susanne U., Knut Krohn, P. Lamesch, Alexander J. Muller, & R Paschke. (2000). Frequency of somatic MEN1 gene mutations in monoclonal parathyroid tumours of patients with primary hyperparathyroidism. European Journal of Endocrinology. 143(1). 47–54. 35 indexed citations
16.
Blüher, Matthias, Kai Krohn, Henri Wallaschofski, Lewis E. Braverman, & R Paschke. (1999). Fas and Fas ligand gene expression in autoimmune thyroiditis in BB/W rats. European Journal of Endocrinology. 141(5). 506–511. 10 indexed citations
17.
Blüher, Matthias, Kai Krohn, Henri Wallaschofski, Lewis E. Braverman, & R Paschke. (1999). Cytokine Gene Expression in Autoimmune Thyroiditis in BioBreeding/Worcester Rats. Thyroid. 9(10). 1049–1055. 13 indexed citations
18.
Vassart, G, Frank Désarnaud, L Duprez, et al.. (1995). The G Protein–coupled Receptor Family and One of Its Members, the TSH Receptora. Annals of the New York Academy of Sciences. 766(1). 23–30. 14 indexed citations
19.
Paschke, R, Marc Parmentier, & Gilbert Vassart. (1994). Importance of the extracellular domain of the human thyrotrophin receptor for activation of cyclic AMP production. Journal of Molecular Endocrinology. 13(2). 199–207. 8 indexed citations
20.
Paschke, R, Rossella Elisei, Gilbert Vassart, & Marian Ludgate. (1993). Lack of evidence supporting the presence of mRNA for the thyrotropin receptor in extra-ocular muscle. Journal of Endocrinological Investigation. 16(5). 329–332. 31 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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