Kai Uwe Eckardt

468 citations
9 papers · 360 · h-index 7

Impact in

  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Dialysis and Renal Disease Management
    • Chronic Kidney Disease and Diabetes
  • Hematology top 10%
    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders

Papers in

Kai Uwe Eckardt

8 papers receiving 358 citations

Peers

Kai Uwe Eckardt
Comparison fields: 5 of 68
  • Nephrology 177
  • Hematology 70
  • Critical Care and Intensive Care Medicine 27
  • Transplantation 14
  • Cancer Research 46
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Kunimi Maeda Japan
F. Uccello Italy
Janice Chew‐Harris New Zealand
Fatemeh Hayati Iran
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Naohiko Imai Japan
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E País Chile
Zanzhe Yu China
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Citations per year

Countries citing papers authored by Kai Uwe Eckardt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kai Uwe Eckardt Line = papers co-authored together Kai Uwe Eckardt links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2008127
2 200874
3 200653
4 199345
5 201537
6 202010
7 20228
8 20166
9 20240

About Kai Uwe Eckardt

Kai Uwe Eckardt is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Transplantation, Endocrinology, Diabetes and Metabolism and Nutrition and Dietetics, having authored 9 papers that have together received 360 indexed citations. Recurring topics across this work include Acute Kidney Injury Research (2 papers), Hormonal Regulation and Hypertension (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Infectious Aortic and Vascular Conditions (1 paper), Cancer, Hypoxia, and Metabolism (1 paper), Blood Pressure and Hypertension Studies (1 paper) and Eicosanoids and Hypertension Pharmacology (1 paper). The work is most often cited by research in Nephrology (177 citations), Hematology (70 citations), Critical Care and Intensive Care Medicine (27 citations), Transplantation (14 citations) and Cancer Research (46 citations). Kai Uwe Eckardt has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include David C. Wheeler, Rowan G. Walker, Francesco Locatelli, Allen R. Nissenson, Brendan J. Barrett, Norbert Lameire, Garabed Eknoyan, Joseph V. Bonventre, Prasad Devarajan and Adeera Levin. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Clinical Journal of the American Society of Nephrology, American Journal of Nephrology, Kidney International and Frontiers in Cardiovascular Medicine.

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.

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