Kai‐Uwe Eckardt

63.7k total citations · 15 hit papers
486 papers, 33.5k citations indexed

About

Kai‐Uwe Eckardt is a scholar working on Nephrology, Hematology and Molecular Biology. According to data from OpenAlex, Kai‐Uwe Eckardt has authored 486 papers receiving a total of 33.5k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Nephrology, 129 papers in Hematology and 92 papers in Molecular Biology. Recurrent topics in Kai‐Uwe Eckardt's work include Erythropoietin and Anemia Treatment (116 papers), Dialysis and Renal Disease Management (75 papers) and Cancer, Hypoxia, and Metabolism (68 papers). Kai‐Uwe Eckardt is often cited by papers focused on Erythropoietin and Anemia Treatment (116 papers), Dialysis and Renal Disease Management (75 papers) and Cancer, Hypoxia, and Metabolism (68 papers). Kai‐Uwe Eckardt collaborates with scholars based in Germany, United States and United Kingdom. Kai‐Uwe Eckardt's 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 Carsten Willam and has published in prestigious journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Kai‐Uwe Eckardt

468 papers receiving 32.6k citations

Hit Papers

Definition and classification of chronic kidney disease: ... 1998 2026 2007 2016 2005 2010 2006 2007 2009 500 1000 1.5k 2.0k 2.5k

Peers

Kai‐Uwe Eckardt
Comparison fields: 5 of 186
  • Nephrology 11.1k
  • Molecular Biology 7.3k
  • Hematology 5.8k
  • Cancer Research 5.1k
  • Pulmonary and Respiratory Medicine 4.2k
Replace Masaomi Nangaku with:
Masaomi Nangaku Japan
Mark E. Cooper Australia
Alberto Ortíz Spain
Francesco Locatelli Italy
Peter Stenvinkel Sweden
Eberhard Ritz Germany
Danilo Fliser Germany
Christoph Wanner Germany
William E. Mitch United States
Ravi Thadhani United States
Masaomi Nangaku Japan View profile →
Citations per field, relative to Kai‐Uwe Eckardt
Kai‐Uwe Eckardt · 1×
Citations per year, relative to Kai‐Uwe Eckardt
Kai‐Uwe Eckardt · 1×

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-authorship network of co-authors of Kai‐Uwe Eckardt

This figure shows the co-authorship network connecting the top 25 collaborators of Kai‐Uwe Eckardt. A scholar is included among the top collaborators of Kai‐Uwe Eckardt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kai‐Uwe Eckardt. Kai‐Uwe Eckardt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 4
6 3
7 9
8 61
9 35
10 3
11 131
12 10
13 26
14 62
15 197
16 161
17 21
18 46
19 119
20 35

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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