Kai‐Uwe Eckardt
Impact in
- Nephrology top 0.01%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
- Transplantation top 0.2%
Papers in
- Nephrology 116
- Dialysis and Renal Disease Management 47
- Chronic Kidney Disease and Diabetes 46
- Acute Kidney Injury Research 24
- Hematology 114
- Erythropoietin and Anemia Treatment 104
- Co-authors
- Bertram L. Kasiske (11 shared papers)Andrew S. Levey (25 shared papers)Josef Coresh (10 shared papers)Adeera Levin (11 shared papers)Michael S. Wiesener (46 shared papers)Jérôme Rossert (10 shared papers)Ulrich Frei (32 shared papers)Norbert Lameire (5 shared papers)
- Journals
- Nephrology Dialysis Transplantation (50 papers)Kidney International (42 papers)Journal of the American Society of Nephrology (30 papers)American Journal of Kidney Diseases (13 papers)BMC Nephrology (13 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Kai‐Uwe Eckardt
468 papers receiving 33.0k citations
Kai‐Uwe Eckardt's Hit Papers
Peers
Comparison fields: 5 of 181
- Nephrology 8.8k
- Transplantation 1.2k
- Hematology 5.2k
- Cancer Research 4.7k
- Genetics 1.7k
Countries citing papers authored by Kai‐Uwe Eckardt
This map shows the geographic impact of Kai‐Uwe Eckardt'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 Kai‐Uwe Eckardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Uwe Eckardt more than expected).
Fields of papers citing papers by Kai‐Uwe Eckardt
This network shows the impact of papers produced by Kai‐Uwe Eckardt. 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 Kai‐Uwe Eckardt. The network helps show where Kai‐Uwe Eckardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Uwe Eckardt, 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 487 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Definition and classification of chronic kidney disease: A position statement from Kidney Disease: Improving Global Outcomes (KDIGO) Hit paper breakdown → | 2005 | 2869 |
| 2 | The definition, classification, and prognosis of chronic kidney disease: a KDIGO Controversies Conference report Hit paper breakdown → | 2010 | 1695 |
| 3 | Normalization of Hemoglobin Level in Patients with Chronic Kidney Disease and Anemia Hit paper breakdown → | 2006 | 1479 |
| 4 | Chronic kidney disease as a global public health problem: Approaches and initiatives – a position statement from Kidney Disease Improving Global Outcomes Hit paper breakdown → | 2007 | 1114 |
| 5 | Special Issue: KDIGO Clinical Practice Guideline for the Care of Kidney Transplant Recipients Hit paper breakdown → | 2009 | 1102 |
| 6 | Evolving importance of kidney disease: from subspecialty to global health burden Hit paper breakdown → | 2013 | 809 |
| 7 | Cardiovascular disease in chronic kidney disease. A clinical update from Kidney Disease: Improving Global Outcomes (KDIGO) Hit paper breakdown → | 2011 | 664 |
| 8 | KDIGO Clinical Practice Guideline for Glomerulonephritis Hit paper breakdown → | 2012 | 654 |
| 9 | Widespread, hypoxia‐inducible expression of HIF‐2α in distinct cell populations of different organs Hit paper breakdown → | 2002 | 583 |
| 10 | Induction of Endothelial PAS Domain Protein-1 by Hypoxia: Characterization and Comparison With Hypoxia-Inducible Factor-1α Hit paper breakdown → | 1998 | 539 |
| 11 | Kidney Disease: Improving Global Outcomes Hit paper breakdown → | 2009 | 489 |
| 12 | Expression of Hypoxia-Inducible Factor-1α and -2α in Hypoxic and Ischemic Rat Kidneys Hit paper breakdown → | 2002 | 481 |
| 13 | 2010 | 436 | |
| 14 | Autosomal-dominant polycystic kidney disease (ADPKD): executive summary from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference Hit paper breakdown → | 2015 | 391 |
| 15 | 2004 | 357 | |
| 16 | 2010 | 341 | |
| 17 | 2008 | 339 | |
| 18 | 2004 | 338 | |
| 19 | Change in Albuminuria and GFR as End Points for Clinical Trials in Early Stages of CKD: A Scientific Workshop Sponsored by the National Kidney Foundation in Collaboration With the US Food and Drug Administration and European Medicines Agency Hit paper breakdown → | 2019 | 338 |
| 20 | 2013 | 299 |
About Kai‐Uwe Eckardt
Kai‐Uwe Eckardt is a scholar working on Nephrology, Hematology, Molecular Biology, Cancer Research and Genetics, having authored 487 papers that have together received 33.8k indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (104 papers), Cancer, Hypoxia, and Metabolism (66 papers), Dialysis and Renal Disease Management (47 papers), Chronic Kidney Disease and Diabetes (46 papers), Hemoglobinopathies and Related Disorders (29 papers), Acute Kidney Injury Research (24 papers), Erythrocyte Function and Pathophysiology (24 papers) and Genetic and Kidney Cyst Diseases (22 papers). The work is most often cited by research in Nephrology (8.8k citations), Transplantation (1.2k citations), Hematology (5.2k citations), Cancer Research (4.7k citations) and Genetics (1.7k citations). Kai‐Uwe Eckardt has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bertram L. Kasiske, Andrew S. Levey, Josef Coresh, Adeera Levin, Michael S. Wiesener, Jérôme Rossert, Ulrich Frei, Norbert Lameire, Garabed Eknoyan and Martin Zeier. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, Journal of the American Society of Nephrology, American Journal of Kidney Diseases and BMC Nephrology.
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.