Thomas Muerdter

758 total citations
9 papers, 511 citations indexed

About

Thomas Muerdter is a scholar working on Pharmacology, Genetics and Molecular Biology. According to data from OpenAlex, Thomas Muerdter has authored 9 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Thomas Muerdter's work include Estrogen and related hormone effects (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Drug Transport and Resistance Mechanisms (2 papers). Thomas Muerdter is often cited by papers focused on Estrogen and related hormone effects (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Drug Transport and Resistance Mechanisms (2 papers). Thomas Muerdter collaborates with scholars based in Germany, Singapore and Finland. Thomas Muerdter's co-authors include Werner Schroth, Matthias Schwab, Péter Fritz, Michel Eichelbaum, Hiltrud Brauch, Wolfgang Simon, Ulrich M. Zanger, Maria C. Shoshan, Stephan Schwarz and Masakazu Toi and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Clinical Cancer Research.

In The Last Decade

Thomas Muerdter

8 papers receiving 497 citations

Peers

Thomas Muerdter

PHARM

GENET

ONCOL

MB

PHARM

Linda P. Briley United States

Marcel Fontecha United States

Jacklyn N. Thibert United States

BA Parker United States

Roswitha Kammler Switzerland

Lang Li China

Rhonda Porche-Sorbet United States

Katsuyoshi Kawana Japan

Longli Kang China

Linda P. Briley United States

Thomas Muerdter

182 ×0.7

PHARM

155 ×0.6

GENET

120 ×0.6

ONCOL

255 ×2.0

MB

78 ×0.9

PHARM

Citations per year, relative to Thomas Muerdter Thomas Muerdter (= 1×) peers Linda P. Briley

Countries citing papers authored by Thomas Muerdter

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Muerdter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Muerdter

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

All Works

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9 of 9 papers shown

1.

Klein, Kathrin, Oliver Burk, Roman Tremmel, et al.. (2025). Transcription factors of the Nuclear Factor I (NFI) family control hepatocyte differentiation and cytochrome P450 activity in human liver. Pharmacological Research. 221. 107998–107998.

2.

Schaeffeler, Elke, Sita Arjune, Ute Hofmann, et al.. (2022). Molybdenum Cofactor Catabolism Unravels the Physiological Role of the Drug Metabolizing Enzyme Thiopurine S‐Methyltransferase. Clinical Pharmacology & Therapeutics. 112(4). 808–816. 11 indexed citations

3.

Lim, Joanne, Thomas Muerdter, Onkar Singh, et al.. (2016). Pharmacogenetics of UGT1A4, UGT2B7 and UGT2B15 and Their Influence on Tamoxifen Disposition in Asian Breast Cancer Patients. Clinical Pharmacokinetics. 55(10). 1239–1250. 24 indexed citations

4.

Lim, Joanne, Thomas Muerdter, Onkar Singh, et al.. (2016). Association ofCYP2C19*2and associated haplotypes with lower norendoxifen concentrations in tamoxifen‐treatedAsianbreast cancer patients. British Journal of Clinical Pharmacology. 81(6). 1142–1152. 16 indexed citations

5.

Johannssen, Timo, et al.. (2016). Metabolic competent expandable human upcyte hepatocytes enable metabolism studies including CYP2D6 dependent pathways. Toxicology Letters. 258. S142–S142. 1 indexed citations

6.

Muerdter, Thomas, Werner Schroth, Wolfgang Simon, et al.. (2010). Abstract LB-183: The predictive value of CYP2D6 genotypes for plasma levels of active tamoxifen metabolites in early breast cancer. Cancer Research. 70(8_Supplement). LB–183. 1 indexed citations

7.

Schroth, Werner, Péter Fritz, Matthias Schwab, et al.. (2007). Breast Cancer Treatment Outcome With Adjuvant Tamoxifen Relative to Patient CYP2D6 and CYP2C19 Genotypes. Journal of Clinical Oncology. 25(33). 5187–5193. 336 indexed citations

8.

Olofsson, Maria Hägg, Takayuki Ueno, Yang Pan, et al.. (2007). Cytokeratin-18 Is a Useful Serum Biomarker for Early Determination of Response of Breast Carcinomas to Chemotherapy. Clinical Cancer Research. 13(11). 3198–3206. 120 indexed citations

9.

Alscher, Mark Dominik, Thomas Muerdter, Cornelius Knabbe, et al.. (2006). Creatinine Measurements by the Jaffé Method in Different Peritoneal Dialysis Fluids Exhibit Wide Variation. Peritoneal Dialysis International. 26(2). 280–283. 2 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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