Max Plischke
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Dialysis and Renal Disease Management
- Renal function and acid-base balance
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
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- Parathyroid Disorders and Treatments 3
- Renal function and acid-base balance 1
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- Renal Transplantation Outcomes and Treatments 3
- Co-authors
- Georg Heinze (6 shared papers)Karen Leffondré (2 shared papers)Daniela Dunkler (3 shared papers)Maria Kohl (3 shared papers)Martin Haas (4 shared papers)Rodrig Marculescu (3 shared papers)Daniel Cejka (3 shared papers)Nicolas Kozakowski (2 shared papers)
In The Last Decade
Max Plischke
19 papers receiving 633 citations
Peers
Comparison fields: 5 of 103
- Nephrology 191
- Transplantation 26
- Orthopedics and Sports Medicine 36
- Cardiology and Cardiovascular Medicine 55
- Nutrition and Dietetics 33
Countries citing papers authored by Max Plischke
This map shows the geographic impact of Max Plischke'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 Max Plischke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Plischke more than expected).
Fields of papers citing papers by Max Plischke
This network shows the impact of papers produced by Max Plischke. 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 Max Plischke. The network helps show where Max Plischke may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Plischke, 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 | 2014 | 153 | |
| 2 | 2014 | 121 | |
| 3 | 2013 | 113 | |
| 4 | 2011 | 74 | |
| 5 | 2012 | 51 | |
| 6 | 2014 | 31 | |
| 7 | 2013 | 28 | |
| 8 | 2013 | 18 | |
| 9 | 2012 | 17 | |
| 10 | 2014 | 7 | |
| 11 | 2012 | 6 | |
| 12 | 2013 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2015 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2019 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2014 | 2 | |
| 19 | 2014 | 1 |
About Max Plischke
Max Plischke is a scholar working on Nephrology, Transplantation, Statistics and Probability, Gastroenterology and Hepatology, having authored 19 papers that have together received 648 indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (3 papers), Parathyroid Disorders and Treatments (3 papers), Statistical Methods and Inference (2 papers), Statistical Methods in Clinical Trials (1 paper), Cardiovascular Function and Risk Factors (1 paper), Advanced Causal Inference Techniques (1 paper), Hepatitis C virus research (1 paper) and Renal function and acid-base balance (1 paper). The work is most often cited by research in Nephrology (191 citations), Transplantation (26 citations), Orthopedics and Sports Medicine (36 citations), Cardiology and Cardiovascular Medicine (55 citations) and Nutrition and Dietetics (33 citations). Max Plischke has collaborated with scholars based in Austria, France and Germany. Frequent co-authors include Georg Heinze, Karen Leffondré, Daniela Dunkler, Maria Kohl, Martin Haas, Rodrig Marculescu, Daniel Cejka, Nicolas Kozakowski, Thomas Reiter and Alois Gessl. Their work appears in journals such as PLoS ONE, European Journal of Clinical Investigation, Clinical Biochemistry, Nephrology Dialysis Transplantation and The Journal of Clinical Endocrinology & Metabolism.
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.