Maja Müller
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
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- Cardiovascular Function and Risk Factors
- Atrial Fibrillation Management and Outcomes
Papers in
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- Angiogenesis and VEGF in Cancer 3
- Co-authors
- Ulf Landmesser (9 shared papers)Helmut Drexler (4 shared papers)Stephan Spiekermann (2 shared papers)Denise Hilfiker‐Kleiner (2 shared papers)Tibor Horváth (1 shared paper)Sajoscha Sorrentino (2 shared papers)Ferdinand H. Bahlmann (2 shared papers)Florian P. Limbourg (1 shared paper)
- Journals
- Circulation (3 papers)JAMA Network Open (1 paper)Diabetes (1 paper)Catheterization and Cardiovascular Interventions (1 paper)European Journal of Preventive Cardiology (1 paper)
- Partner nations
- GermanySwitzerlandUnited Kingdom
In The Last Decade
Maja Müller
10 papers receiving 616 citations
Peers
Comparison fields: 5 of 71
- Nephrology 72
- Cardiology and Cardiovascular Medicine 225
- Biochemistry 55
- Cancer Research 99
- Genetics 60
Countries citing papers authored by Maja Müller
This map shows the geographic impact of Maja 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 Maja Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Müller more than expected).
Fields of papers citing papers by Maja Müller
This network shows the impact of papers produced by Maja 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 Maja Müller. The network helps show where Maja Müller may publish in the future.
Co-authors
The 25 scholars most cited alongside Maja Müller, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 253 | |
| 2 | 2004 | 164 | |
| 3 | 2014 | 54 | |
| 4 | 2016 | 42 | |
| 5 | 2007 | 39 | |
| 6 | 2018 | 34 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2006 | 1 |
About Maja Müller
Maja Müller is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 625 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Cardiac Imaging and Diagnostics (2 papers), Infection Control and Ventilation (1 paper), MicroRNA in disease regulation (1 paper) and Infection Control in Healthcare (1 paper). The work is most often cited by research in Nephrology (72 citations), Cardiology and Cardiovascular Medicine (225 citations), Biochemistry (55 citations), Cancer Research (99 citations) and Genetics (60 citations). Maja Müller has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Ulf Landmesser, Helmut Drexler, Stephan Spiekermann, Denise Hilfiker‐Kleiner, Tibor Horváth, Sajoscha Sorrentino, Ferdinand H. Bahlmann, Florian P. Limbourg, Carola Doerries and Christian Besler. Their work appears in journals such as Circulation, JAMA Network Open, Diabetes, Catheterization and Cardiovascular Interventions and European Journal of Preventive Cardiology.
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.