Thorsten Müller

2.5k total citations
54 papers, 1.8k citations indexed

About

Thorsten Müller is a scholar working on Molecular Biology, Physiology and Cell Biology. According to data from OpenAlex, Thorsten Müller has authored 54 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Physiology and 7 papers in Cell Biology. Recurrent topics in Thorsten Müller's work include Alzheimer's disease research and treatments (18 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mitochondrial Function and Pathology (4 papers). Thorsten Müller is often cited by papers focused on Alzheimer's disease research and treatments (18 papers), Advanced Proteomics Techniques and Applications (6 papers) and Mitochondrial Function and Pathology (4 papers). Thorsten Müller collaborates with scholars based in Germany, United States and Portugal. Thorsten Müller's co-authors include Katrin Marcus, Helmut E. Meyer, Rupert Egensperger, Christina Looße, Marco Niemann, Martin Weber, Stefan Helling, Donat Kögel, Jochen H.M. Prehn and Odete A. B. da Cruz e Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Analytical Chemistry.

In The Last Decade

Thorsten Müller

53 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
Thorsten Müller Germany 27 939 568 293 250 201 54 1.8k
Pedro Brites Portugal 22 1.4k 1.5× 453 0.8× 212 0.7× 118 0.5× 39 0.2× 41 1.9k
Michael Lee Australia 19 1.2k 1.3× 1.8k 3.2× 242 0.8× 238 1.0× 36 0.2× 33 2.6k
Cinzia Mallozzi Italy 22 1.1k 1.2× 733 1.3× 229 0.8× 101 0.4× 11 0.1× 50 2.0k
Kouzin Kamino Japan 26 1.2k 1.3× 1.0k 1.8× 289 1.0× 100 0.4× 11 0.1× 70 2.3k
Diana Casper United States 27 743 0.8× 221 0.4× 465 1.6× 78 0.3× 20 0.1× 39 1.7k
Marco Mongillo Italy 31 3.2k 3.4× 768 1.4× 778 2.7× 278 1.1× 41 0.2× 70 4.6k
Bai‐Yan Li China 21 744 0.8× 153 0.3× 156 0.5× 134 0.5× 37 0.2× 103 1.4k
Taehoon G. Lee South Korea 20 1.0k 1.1× 227 0.4× 381 1.3× 120 0.5× 10 0.0× 25 1.7k
Micha M.M. Wilhelmus Netherlands 27 772 0.8× 724 1.3× 293 1.0× 42 0.2× 28 0.1× 59 1.9k
Chris N. Goulbourne United States 22 1.1k 1.2× 474 0.8× 127 0.4× 115 0.5× 9 0.0× 44 2.0k

Countries citing papers authored by Thorsten Müller

Since Specialization
Citations

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

Fields of papers citing papers by Thorsten Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thorsten Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Thorsten Müller. A scholar is included among the top collaborators of Thorsten Müller 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 Müller. Thorsten Müller 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.
Kohshour, Mojtaba Oraki, Teresa K. Barth, Andreas Klingl, et al.. (2025). Comparing the proteome profiling of plasma-derived extracellular vesicles in individuals with schizophrenia and healthy controls: a pilot study. Schizophrenia Research. 285. 87–94.
2.
3.
Marks, David, et al.. (2022). Role of Intracellular Amyloid β as Pathway Modulator, Biomarker, and Therapy Target. International Journal of Molecular Sciences. 23(9). 4656–4656. 29 indexed citations
4.
Heinen, Natalie, et al.. (2022). Gene-Edited Fluorescent and Mixed Cerebral Organoids. The CRISPR Journal. 5(1). 53–65. 2 indexed citations
5.
Kolbe, Katharina, Fouzi El Magraoui, Edeltraut Hoffmann-Posorske, et al.. (2017). LMD proteomics provides evidence for hippocampus field-specific motor protein abundance changes with relevance to Alzheimer's disease. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1865(6). 703–714. 11 indexed citations
6.
Büchler, Lorenz, et al.. (2016). Functional recovery following primary ACL repair with dynamic intraligamentary stabilization. The Knee. 23(3). 549–553. 52 indexed citations
7.
Henriques, Ana Gabriela, et al.. (2016). Altered protein phosphorylation as a resource for potential AD biomarkers. Scientific Reports. 6(1). 30319–30319. 31 indexed citations
8.
Müller, Thorsten, et al.. (2015). Measurement of low amounts of amorphous content in hydrophobic active pharmaceutical ingredients with dynamic organic vapor sorption. European Journal of Pharmaceutics and Biopharmaceutics. 92. 102–111. 8 indexed citations
9.
Looße, Christina, et al.. (2015). Nuclear spheres modulate the expression of BEST1 and GADD45G. Cellular Signalling. 28(1). 100–109. 6 indexed citations
10.
11.
Korrodi‐Gregório, Luís, Joana Abrantes, Thorsten Müller, et al.. (2013). Not so pseudo: the evolutionary history of protein phosphatase 1 regulatory subunit 2 and related pseudogenes. BMC Evolutionary Biology. 13(1). 242–242. 13 indexed citations
12.
Korrodi‐Gregório, Luís, Mónica Ferreira, Wenjuan Wu, et al.. (2013). Identification and characterization of two distinct PPP1R2 isoforms in human spermatozoa. BMC Cell Biology. 14(1). 15–15. 18 indexed citations
13.
Kley, Rudolf A., A. Maerkens, Verena Theis, et al.. (2012). A Combined Laser Microdissection and Mass Spectrometry Approach Reveals New Disease Relevant Proteins Accumulating in Aggregates of Filaminopathy Patients. Molecular & Cellular Proteomics. 12(1). 215–227. 66 indexed citations
14.
Müller, Thorsten, Christina Looße, Anke Schnabel, et al.. (2011). The AICD Interacting Protein DAB1 is Up-Regulated in Alzheimer Frontal Cortex Brain Samples and Causes Deregulation of Proteins Involved in Gene Expression Changes. Current Alzheimer Research. 8(5). 573–582. 21 indexed citations
15.
Helling, Stefan, Sudhirkumar Shinde, Frederic Brosseron, et al.. (2011). Ultratrace Enrichment of Tyrosine Phosphorylated Peptides on an Imprinted Polymer. Analytical Chemistry. 83(5). 1862–1865. 67 indexed citations
16.
Kögel, Donat, Caoimhín G. Concannon, Thorsten Müller, et al.. (2011). The APP intracellular domain (AICD) potentiates ER stress-induced apoptosis. Neurobiology of Aging. 33(9). 2200–2209. 34 indexed citations
17.
Müller, Thorsten, Helmut E. Meyer, Rupert Egensperger, & Katrin Marcus. (2008). The amyloid precursor protein intracellular domain (AICD) as modulator of gene expression, apoptosis, and cytoskeletal dynamics—Relevance for Alzheimer's disease. Progress in Neurobiology. 85(4). 393–406. 198 indexed citations
18.
Busse, Matthias, et al.. (2006). Intelligente Gussteile - Einsatz adaptronischer Komponenten in Kombination mit Gussteilen. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 4 indexed citations
19.
Müller, Thorsten, Caoimhín G. Concannon, Manus W. Ward, et al.. (2006). Modulation of Gene Expression and Cytoskeletal Dynamics by the Amyloid Precursor Protein Intracellular Domain (AICD). Molecular Biology of the Cell. 18(1). 201–210. 114 indexed citations
20.
Knapp, Jörg, Peter Boknı́k, Sabine Huke, et al.. (1999). The Protein Phosphatase Inhibitor Cantharidin Alters Vascular Endothelial Cell Permeability. Journal of Pharmacology and Experimental Therapeutics. 289(3). 1480–1486. 23 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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