Markus van der Giet
- Cardiology and Cardiovascular Medicine top 0.5%
- Nephrology top 0.1%
- Molecular Biology top 5%
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Walter ZidekMarkus TölleMartin TepelMirjam SchuchardtUlf LauferDieter LiermannUwe J.F. TietgeBodo Levkau
- Topics
- Blood Pressure and Hypertension Studies (44 papers)Adenosine and Purinergic Signaling (35 papers)Dialysis and Renal Disease Management (27 papers)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Markus van der Giet
238 papers receiving 9.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Cardiology and Cardiovascular Medicine 2.4k
- Nephrology 2.4k
- Molecular Biology 2.3k
- Surgery 1.8k
- Endocrinology, Diabetes and Metabolism 1.3k
Countries citing papers authored by Markus van der Giet
This map shows the geographic impact of Markus van der Giet'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 van der Giet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus van der Giet more than expected).
Fields of papers citing papers by Markus van der Giet
This network shows the impact of papers produced by Markus van der Giet. 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 van der Giet. The network helps show where Markus van der Giet may publish in the future.
Co-authorship network of co-authors of Markus van der Giet
This figure shows the co-authorship network connecting the top 25 collaborators of Markus van der Giet. A scholar is included among the top collaborators of Markus van der Giet 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 Markus van der Giet. Markus van der Giet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 29 | |
| 9 | 3 | |
| 10 | 52 | |
| 11 | 27 | |
| 12 | Plasma VEGF-levels are variable in patients with persistent renal dysfunction and diabetes: possible implications and risks for ophthalmic anti-VEGF therapy | 1 |
| 13 | Simulation, Abstrahlung und Auralisation von elektrischen Maschinen als Hauptantrieb fuer die Kraftfahrzeuganwendung | 2 |
| 14 | 21 | |
| 15 | 32 | |
| 16 | Scavenger Receptor Bi (sr-bi)-mediated Selective Uptake Is Required For The Remodelling Of Hdl By Endothelial Lipase | 1 |
| 17 | 22 | |
| 18 | Electromagnetically excited audible noise - evaluation and optimisation of electrical machines by numerical simulation | 6 |
| 19 | 15 | |
| 20 | 11 |
About Markus van der Giet
Markus van der Giet is a scholar working on Physiology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 253 papers that have together received 9.6k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (44 papers), Adenosine and Purinergic Signaling (35 papers) and Dialysis and Renal Disease Management (27 papers). The work is most often cited by research in Nephrology (2.4k citations), Physiology (839 citations) and Cardiology and Cardiovascular Medicine (2.4k citations). Markus van der Giet has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Walter Zidek, Markus Tölle, Martin Tepel, Mirjam Schuchardt, Ulf Laufer, Dieter Liermann, Uwe J.F. Tietge, Bodo Levkau, Hartmut Schlüter and Joachim Jankowski. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.