Mathias Dreger

2.3k total citations
43 papers, 1.9k citations indexed

About

Mathias Dreger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Mathias Dreger has authored 43 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Sensory Systems. Recurrent topics in Mathias Dreger's work include Ion channel regulation and function (9 papers), Mass Spectrometry Techniques and Applications (7 papers) and Ion Channels and Receptors (7 papers). Mathias Dreger is often cited by papers focused on Ion channel regulation and function (9 papers), Mass Spectrometry Techniques and Applications (7 papers) and Ion Channels and Receptors (7 papers). Mathias Dreger collaborates with scholars based in Germany, United Kingdom and Switzerland. Mathias Dreger's co-authors include Ferdinand Hucho, Henning Otto, Luiza Bengtsson, Clemens Gillen, Torsten Schöneberg, Jill Urban, Jenny J. Fischer, Chandan Goswami, Matthias Mann and Dieter Weichart and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

Mathias Dreger

42 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mathias Dreger Germany 23 1.3k 251 241 197 163 43 1.9k
Franck Vandermoere France 21 1.5k 1.1× 148 0.6× 220 0.9× 134 0.7× 207 1.3× 32 1.8k
Aurélie Chantôme France 23 1.2k 0.9× 56 0.2× 246 1.0× 328 1.7× 194 1.2× 48 1.8k
Richard K. Hite United States 27 1.9k 1.5× 76 0.3× 464 1.9× 215 1.1× 218 1.3× 45 2.5k
Alphonse Galdes United States 24 1.4k 1.1× 104 0.4× 198 0.8× 33 0.2× 151 0.9× 43 2.1k
Roland Schönherr Germany 27 1.9k 1.4× 46 0.2× 672 2.8× 144 0.7× 124 0.8× 59 2.3k
Richard E. Middleton United States 18 2.0k 1.5× 33 0.1× 386 1.6× 228 1.2× 57 0.3× 27 2.4k
Richard H. Ashley United Kingdom 25 1.8k 1.3× 101 0.4× 545 2.3× 83 0.4× 339 2.1× 48 2.5k
Veronika Obšilová Czechia 26 1.9k 1.5× 64 0.3× 86 0.4× 47 0.2× 209 1.3× 65 2.2k
Andreas Kreusch United States 19 1.4k 1.1× 59 0.2× 277 1.1× 85 0.4× 69 0.4× 23 1.9k

Countries citing papers authored by Mathias Dreger

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Dreger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Dreger

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Dreger. A scholar is included among the top collaborators of Mathias Dreger 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 Mathias Dreger. Mathias Dreger 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.
Dreger, Mathias. (2011). Izolacje z pianki poliuretanowej na tle wyrobów z wełny mineralnej. Izolacje. 44–46.
2.
Fischer, Jenny J., et al.. (2011). Proteome-Wide Identification of Staurosporine-Binding Kinases Using Capture Compound Mass Spectrometry. Methods in molecular biology. 795. 135–147. 1 indexed citations
3.
Fischer, Jenny J., et al.. (2011). Improvement of Capture Compound Mass Spectrometry Technology (CCMS) for the Profiling of Human Kinases by Combination with 2D LC‐MS/MS. BioMed Research International. 2011(1). 850589–850589. 3 indexed citations
4.
Fischer, Jenny J., Anna K. Schrey, Anne Diehl, et al.. (2011). SAHA Capture Compound – A novel tool for the profiling of histone deacetylases and the identification of additional vorinostat binders. PROTEOMICS. 11(20). 4096–4104. 17 indexed citations
6.
Dreger, Mathias, et al.. (2010). Differential expression level of cytokeratin 8 in cells of the bovine nucleus pulposus complicates the search for specific intervertebral disc cell markers. Arthritis Research & Therapy. 12(1). R24–R24. 84 indexed citations
7.
Webby, Celia J., Alexander Wolf, Natalia Gromak, et al.. (2009). Jmjd6 Catalyses Lysyl-Hydroxylation of U2AF65, a Protein Associated with RNA Splicing. Science. 325(5936). 90–93. 315 indexed citations
8.
Littleton, Edward, Mathias Dreger, Jackie Palace, & Angela Vincent. (2009). Immunocapture and Identification of Cell Membrane Protein Antigenic Targets of Serum Autoantibodies. Molecular & Cellular Proteomics. 8(7). 1688–1696. 7 indexed citations
9.
Fischer, Jenny J., Anna K. Schrey, Mirko Glinski, et al.. (2009). GDP-Capture Compound — A novel tool for the profiling of GTPases in pro- and eukaryotes by capture compound mass spectrometry (CCMS). Journal of Proteomics. 73(4). 815–819. 13 indexed citations
10.
Blex, Christian, et al.. (2009). The cAMP Capture Compound Mass Spectrometry as a Novel Tool for Targeting cAMP-binding Proteins. Molecular & Cellular Proteomics. 8(12). 2843–2856. 39 indexed citations
11.
Goswami, Chandan, Mathias Dreger, Henning Otto, Blanche Schwappach, & Ferdinand Hucho. (2005). Rapid disassembly of dynamic microtubules upon activation of the capsaicin receptor TRPV1. Journal of Neurochemistry. 96(1). 254–266. 61 indexed citations
12.
Bogen, Oliver, Mathias Dreger, Clemens Gillen, Wolfgang Schröder, & Ferdinand Hucho. (2005). Identification of versican as an isolectin B4‐binding glycoprotein from mammalian spinal cord tissue. FEBS Journal. 272(5). 1090–1102. 32 indexed citations
13.
Goswami, Chandan, et al.. (2004). Identification and characterization of a Ca2+‐sensitive interaction of the vanilloid receptor TRPV1 with tubulin. Journal of Neurochemistry. 91(5). 1092–1103. 82 indexed citations
14.
Dreger, Mathias & Henning Otto. (2004). The nuclear envelope proteome.. PubMed. 9–40. 2 indexed citations
15.
Dreger, Mathias. (2003). Subcellular proteomics. Mass Spectrometry Reviews. 22(1). 27–56. 109 indexed citations
16.
Skiebe, Petra, et al.. (2002). Identification of orcokinins in single neurons in the stomatogastric nervous system of the crayfish, Cherax destructor. The Journal of Comparative Neurology. 444(3). 245–259. 49 indexed citations
17.
Rupp, Johanna, et al.. (2002). Activation by Acidic pH of CLC-7 Expressed in Oocytes from Xenopus laevis. Biochemical and Biophysical Research Communications. 291(2). 421–424. 37 indexed citations
18.
Dreger, Mathias, et al.. (2001). Biochemical characterization of the vanilloid receptor 1 expressed in a dorsal root ganglia derived cell line. European Journal of Biochemistry. 268(21). 5489–5496. 88 indexed citations
19.
Sáez‐Briones, Patricio, M. Krauß, Mathias Dreger, et al.. (1999). How do acetylcholine receptor ligands reach their binding sites?. European Journal of Biochemistry. 265(3). 902–910. 18 indexed citations
20.
Watty, Anke, Christoph Weise, Mathias Dreger, P. Franke, & Ferdinand Hucho. (1998). The accessible surface of the nicotinic acetylcholine receptor. European Journal of Biochemistry. 252(2). 222–228. 4 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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