Markus Pirklbauer
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
- Nephrology 11
- Dialysis and Renal Disease Management 6
- Parathyroid Disorders and Treatments 5
- Renal Diseases and Glomerulopathies 3
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- Connective Tissue Growth Factor Research 2
- Co-authors
- Gert Mayer (12 shared papers)Herbert Schramek (8 shared papers)Gert Mayer (5 shared papers)Johannes Leierer (3 shared papers)Andreas Kronbichler (3 shared papers)Michael Rudnicki (4 shared papers)Paul Perco (2 shared papers)Susanne Kaser (1 shared paper)
In The Last Decade
Markus Pirklbauer
30 papers receiving 454 citations
Peers
Comparison fields: 5 of 69
- Nephrology 135
- Transplantation 25
- Endocrinology, Diabetes and Metabolism 89
- Cardiology and Cardiovascular Medicine 61
- Oncology 72
Countries citing papers authored by Markus Pirklbauer
This map shows the geographic impact of Markus Pirklbauer'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 Pirklbauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Pirklbauer more than expected).
Fields of papers citing papers by Markus Pirklbauer
This network shows the impact of papers produced by Markus Pirklbauer. 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 Pirklbauer. The network helps show where Markus Pirklbauer may publish in the future.
Co-authors
The 25 scholars most cited alongside Markus Pirklbauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 44 | |
| 2 | 2014 | 44 | |
| 3 | 2022 | 31 | |
| 4 | 2011 | 31 | |
| 5 | 2008 | 30 | |
| 6 | 2009 | 28 | |
| 7 | 2024 | 25 | |
| 8 | 2020 | 24 | |
| 9 | 2012 | 21 | |
| 10 | 2020 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2019 | 20 | |
| 13 | 2011 | 19 | |
| 14 | 2021 | 19 | |
| 15 | 2021 | 16 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2023 | 8 | |
| 19 | 2015 | 7 | |
| 20 | 2020 | 5 |
About Markus Pirklbauer
Markus Pirklbauer is a scholar working on Nephrology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Genetics, having authored 33 papers that have together received 462 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (6 papers), Parathyroid Disorders and Treatments (5 papers), Diabetes Treatment and Management (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Renal Diseases and Glomerulopathies (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Connective Tissue Growth Factor Research (2 papers) and Genetic Syndromes and Imprinting (2 papers). The work is most often cited by research in Nephrology (135 citations), Transplantation (25 citations), Endocrinology, Diabetes and Metabolism (89 citations), Cardiology and Cardiovascular Medicine (61 citations) and Oncology (72 citations). Markus Pirklbauer has collaborated with scholars based in Austria, Australia and Italy. Frequent co-authors include Gert Mayer, Herbert Schramek, Gert Mayer, Johannes Leierer, Andreas Kronbichler, Michael Rudnicki, Paul Perco, Susanne Kaser, Christoph Seger and Hanno Ulmer. Their work appears in journals such as Journal of Clinical Medicine, International Journal of Molecular Sciences, American Journal of Nephrology, American Journal of Physiology-Renal Physiology and European Journal of Clinical Investigation.
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.