Markus Mueller

22 papers receiving 419 citations

Peers

Markus Mueller
Comparison fields: 5 of 86
  • Molecular Medicine 114
  • Pharmacology 162
  • Applied Microbiology and Biotechnology 17
  • Clinical Biochemistry 47
  • Microbiology 27
Replace Yorinobu Maeda with:
Yorinobu Maeda Japan
Jennifer L. Hoover United States
April Barbour United States
Maria Raftogiannis Greece
L Verbist Belgium
Seok Hwee Koo Singapore
Marie-Thérèse Labro France
Rafael Ferriols‐Lisart Spain
M. F. Kergueris France
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Citations per field
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Citations per year

Countries citing papers authored by Markus Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Markus Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Markus Mueller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Mueller Line = papers co-authored together Markus Mueller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004241
2 201039
3 201620
4 201420
5 200516
6 201616
7 201912
8 201610
9 20089
10 20058
11 20066
12
Advances in the understanding of lung cancer.
19976
13 20146
14 20175
15 20155
16 20144
17 20222
18 20102
19 20082
20
Quantitative single-cell analysis of target protein expression relative to human/murine tissue distribution in human xenografts for optimizing development of gene expression modulating therapeutics
20051

About Markus Mueller

Markus Mueller is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Epidemiology and Molecular Biology, having authored 26 papers that have together received 432 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Analytical Methods in Pharmaceuticals (2 papers), Cancer Research and Treatments (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Computational Drug Discovery Methods (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Molecular Medicine (114 citations), Pharmacology (162 citations), Applied Microbiology and Biotechnology (17 citations), Clinical Biochemistry (47 citations) and Microbiology (27 citations). Markus Mueller has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Hartmut Derendorf, Amparo de la Peña, Renate Koppensteiner, Mark V. Boekschoten, Michael Trauner, Naiara Beraza, Michael E. Gschwandtner, Christian Trautwein, Oliver Schlager and Simon Panzer. Their work appears in journals such as Journal of Clinical Oncology, Journal of Endovascular Therapy, Pharmacology, Alzheimer s & Dementia and Atherosclerosis.

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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