Thorsten Melcher

4.5k total citations · 2 hit papers
17 papers, 3.5k citations indexed

About

Thorsten Melcher is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thorsten Melcher has authored 17 papers receiving a total of 3.5k 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 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thorsten Melcher's work include RNA regulation and disease (8 papers), RNA Research and Splicing (7 papers) and Neuroscience and Neuropharmacology Research (4 papers). Thorsten Melcher is often cited by papers focused on RNA regulation and disease (8 papers), RNA Research and Splicing (7 papers) and Neuroscience and Neuropharmacology Research (4 papers). Thorsten Melcher collaborates with scholars based in Germany, United States and Switzerland. Thorsten Melcher's co-authors include Miyoko Higuchi, Hannah Monyer, Stefan Maas, Peter H. Seeburg, P. H. Seeburg, Duk-Su Koh, Bert Sakmann, Jörg R. P. Geiger, Péter Jónás and Anne Herb and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

Thorsten Melcher

16 papers receiving 3.5k citations

Hit Papers

Relative abundance of subunit mRNAs determines gating and... 1994 2026 2004 2015 1995 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thorsten Melcher Germany 14 2.5k 1.5k 413 360 306 17 3.5k
Herman Moreno United States 26 2.0k 0.8× 1.6k 1.1× 520 1.3× 653 1.8× 326 1.1× 44 3.5k
L.B. Hersh United States 36 1.5k 0.6× 1.8k 1.2× 556 1.3× 603 1.7× 216 0.7× 76 3.5k
Duk-Su Koh United States 23 1.8k 0.7× 1.8k 1.3× 501 1.2× 210 0.6× 289 0.9× 44 3.1k
Alaa El-Husseini Canada 28 2.5k 1.0× 2.2k 1.5× 398 1.0× 460 1.3× 434 1.4× 35 4.3k
K. Ulrich Bayer United States 36 2.8k 1.1× 2.8k 1.9× 648 1.6× 479 1.3× 359 1.2× 70 4.2k
Lin Luo United States 27 2.0k 0.8× 1.1k 0.7× 328 0.8× 417 1.2× 230 0.8× 40 3.9k
T. Renee Dawson United States 19 2.4k 1.0× 1.9k 1.3× 283 0.7× 1.2k 3.2× 593 1.9× 19 4.4k
Anton Maximov United States 31 3.2k 1.3× 2.0k 1.4× 204 0.5× 581 1.6× 170 0.6× 41 4.3k
John E. McRory Canada 29 2.5k 1.0× 2.5k 1.7× 219 0.5× 584 1.6× 298 1.0× 40 4.0k
John Marshall United States 28 1.8k 0.7× 1.3k 0.9× 169 0.4× 210 0.6× 211 0.7× 44 2.9k

Countries citing papers authored by Thorsten Melcher

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Melcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Melcher

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

All Works

17 of 17 papers shown
2.
Shirvani, Shervin M., Calvin Huntzinger, Thorsten Melcher, et al.. (2020). Biology-guided radiotherapy: redefining the role of radiotherapy in metastatic cancer. British Journal of Radiology. 94(1117). 20200873–20200873. 42 indexed citations
3.
Chitneni, Satish K., Gerald T. Bida, Hong Yuan, et al.. (2013). 18F-EF5 PET Imaging as an Early Response Biomarker for the Hypoxia-Activated Prodrug SN30000 Combined with Radiation Treatment in a Non–Small Cell Lung Cancer Xenograft Model. Journal of Nuclear Medicine. 54(8). 1339–1346. 32 indexed citations
4.
Chitneni, Satish K., Gerald T. Bida, Michael P. Hay, et al.. (2011). Abstract 5306: 18F-EF5 microPET imaging of treatment response from a novel, hypoxia-selective cytotoxin SN30000 in a human lung cancer xenograft model. Cancer Research. 71(8_Supplement). 5306–5306. 1 indexed citations
5.
Haberman, Rebecca P., Shannon L. Dean, Eileen C. Hoyt, et al.. (2005). GABAB receptor antagonist SGS742 improves spatial memory and reduces protein binding to the cAMP response element (CRE) in the hippocampus. Neuropharmacology. 48(7). 956–964. 96 indexed citations
6.
Froestl, Wolfgang, Michela Gallagher, Helen Jenkins, et al.. (2004). SGS742: the first GABAB receptor antagonist in clinical trials. Biochemical Pharmacology. 68(8). 1479–1487. 145 indexed citations
7.
Müller, Sabine, Philip Kunkel, Katrin Lamszus, et al.. (2003). A role for receptor tyrosine phosphataseζ in glioma cell migration. Oncogene. 22(43). 6661–6668. 100 indexed citations
8.
Mattiasson, Gustav, Mehrdad Shamloo, Gunilla Gidö, et al.. (2003). Uncoupling protein-2 prevents neuronal death and diminishes brain dysfunction after stroke and brain trauma. Nature Medicine. 9(8). 1062–1068. 449 indexed citations
9.
Köhr, Georg, Thorsten Melcher, & P. H. Seeburg. (1998). Candidate editases for GluR channels in single neurons of rat hippocampus and cerebellum. Neuropharmacology. 37(10-11). 1411–1417. 16 indexed citations
10.
Maas, Stefan, Thorsten Melcher, & Peter H. Seeburg. (1997). Mammalian RNA-dependent deaminases and edited mRNAs. Current Opinion in Cell Biology. 9(3). 343–349. 48 indexed citations
11.
Melcher, Thorsten, et al.. (1996). A mammalian RNA editing enzyme. Nature. 379(6564). 460–464. 446 indexed citations
12.
Melcher, Thorsten, Stefan Maas, Anne Herb, et al.. (1996). RED2, a Brain-specific Member of the RNA-specific Adenosine Deaminase Family. Journal of Biological Chemistry. 271(50). 31795–31798. 250 indexed citations
13.
Maas, Stefan, Thorsten Melcher, Anne Herb, et al.. (1996). Structural Requirements for RNA Editing in Glutamate Receptor Pre-mRNAs by Recombinant Double-stranded RNA Adenosine Deaminase. Journal of Biological Chemistry. 271(21). 12221–12226. 138 indexed citations
14.
Melcher, Thorsten, Stefan Maas, Miyoko Higuchi, Walter Keller, & Peter H. Seeburg. (1995). Editing of α-Amino-3-hydroxy-5-methylisoxazole-4-propionic Acid Receptor GluR-B Pre-mRNA in Vitro Reveals Site-selective Adenosine to Inosine Conversion. Journal of Biological Chemistry. 270(15). 8566–8570. 88 indexed citations
15.
Geiger, Jörg R. P., Thorsten Melcher, Duk-Su Koh, et al.. (1995). Relative abundance of subunit mRNAs determines gating and Ca2+ permeability of AMPA receptors in principal neurons and interneurons in rat CNS. Neuron. 15(1). 193–204. 1030 indexed citations breakdown →
16.
Seeburg, P. H., et al.. (1995). AMPA channels in central neurons Molecular and functional diversity. 70. 1 indexed citations
17.
Lomelı́, Hilda, Johannes Mosbacher, Thorsten Melcher, et al.. (1994). Control of Kinetic Properties of AMPA Receptor Channels by Nuclear RNA Editing. Science. 266(5191). 1709–1713. 619 indexed citations breakdown →

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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