Daniel Patschan
- Nephrology top 1%
- Acute Kidney Injury Research 37
- Chronic Kidney Disease and Diabetes 17
- Dialysis and Renal Disease Management 10
- Transplantation top 5%
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 7
- Genetics top 5%
- Mesenchymal stem cell research 6
- Immunology top 10%
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- Angiogenesis and VEGF in Cancer 20
- Renal and related cancers 8
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- Renal and Vascular Pathologies 7
- Co-authors
- Susann PatschanGerhard A. MüllerMichael S. GoligorskyElvira HenzeOliver RitterNatalia MendelevThomas PhilippKatrin Schwarze
- Journals
- American Journal of Physiology-Renal Physiology (11 papers)Kidney & Blood Pressure Research (6 papers)BMC Nephrology (5 papers)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Daniel Patschan
88 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 100
- Nephrology 658
- Transplantation 73
- Critical Care and Intensive Care Medicine 90
- Genetics 166
- Immunology 294
Countries citing papers authored by Daniel Patschan
This map shows the geographic impact of Daniel Patschan'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 Daniel Patschan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Patschan more than expected).
Fields of papers citing papers by Daniel Patschan
This network shows the impact of papers produced by Daniel Patschan. 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 Daniel Patschan. The network helps show where Daniel Patschan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Patschan, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2021 | 1 | |
| 8 | 2020 | 10 | |
| 9 | 2019 | 20 | |
| 10 | 2019 | 31 | |
| 11 | 2015 | 25 | |
| 12 | 2014 | 3 | |
| 13 | 2013 | 17 | |
| 14 | 2011 | 53 | |
| 15 | 2008 | 44 | |
| 16 | 2008 | 90 | |
| 17 | 2007 | 44 | |
| 18 | 2005 | 13 | |
| 19 | 2005 | 39 | |
| 20 | 2001 | 86 |
About Daniel Patschan
Daniel Patschan is a scholar working on Nephrology, Critical Care and Intensive Care Medicine, Transplantation, Cardiology and Cardiovascular Medicine and Genetics, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (37 papers), Angiogenesis and VEGF in Cancer (20 papers), Chronic Kidney Disease and Diabetes (17 papers), Dialysis and Renal Disease Management (10 papers), Renal and related cancers (8 papers), Renal and Vascular Pathologies (7 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (7 papers) and Mesenchymal stem cell research (6 papers). The work is most often cited by research in Nephrology (658 citations), Transplantation (73 citations), Critical Care and Intensive Care Medicine (90 citations), Genetics (166 citations) and Immunology (294 citations). Daniel Patschan has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include Susann Patschan, Gerhard A. Müller, Michael S. Goligorsky, Elvira Henze, Oliver Ritter, Natalia Mendelev, Thomas Philipp, Katrin Schwarze, Oliver Witzke and Andreas Kribben. Their work appears in journals such as American Journal of Physiology-Renal Physiology, Kidney & Blood Pressure Research, BMC Nephrology, Journal of Nephrology and American Journal of Physiology-Heart and Circulatory Physiology.
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.