Danilo Fliser

35.7k citations
301 papers · 18.6k indexed · 5 hit papers · h-index 75

Danilo Fliser

294 papers receiving 18.1k citations

Hit Papers

Chronic...38720072026201320192505007501000

Peers

Danilo Fliser
Comparison fields: 5 of 165
  • Nephrology 6.6k
  • Cardiology and Cardiovascular Medicine 4.3k
  • Hematology 1.3k
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Transplantation 278
Replace Enyu Imai with:
Enyu Imai Japan
Agnes B. Fogo United States
Yasuhiko Tomino Japan
Marta Ruiz‐Ortega Spain
Jürgen Floege Germany
Alberto Ortíz Spain
Kosaku Nitta Japan
Masaomi Nangaku Japan
Jesús Egido Spain
Ziad A. Massy France
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Citations per field
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Citations per year

Countries citing papers authored by Danilo Fliser

Since Specialization
Citations

This map shows the geographic impact of Danilo Fliser'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 Danilo Fliser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Fliser more than expected).

Fields of papers citing papers by Danilo Fliser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Fliser. 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 Danilo Fliser. The network helps show where Danilo Fliser may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Danilo Fliser, 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 Danilo Fliser Line = papers co-authored together Danilo Fliser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20236
4 20230
5 20231
6
Cardiovascular Disease in Chronic Kidney Diseasebreakdown →
20211066
7 20213
8 202121
9 202035
10
Antikoagulation bei Patienten mit chronischer Niereninsuffizienz : Empfehlungen der Arbeitsgemeinschaft "Herz Niere" der Deutschen Gesellschaft für Kardiologie Herz- und Kreislaufforschung und der Deutschen Gesellschaft für Nephrologie.
20172
11 201622
12 20155
13 20146
14 2012417
15 2012106
16 200836
17 200635
18 200568
19 2003109
20
Albuminuria of hypertensive patients.
199213

About Danilo Fliser

Danilo Fliser is a scholar working on Nephrology, Hematology and Cardiology and Cardiovascular Medicine, having authored 301 papers that have together received 18.6k indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (58 papers), Chronic Kidney Disease and Diabetes (40 papers), Erythropoietin and Anemia Treatment (35 papers), Parathyroid Disorders and Treatments (29 papers), Blood Pressure and Hypertension Studies (29 papers), Nitric Oxide and Endothelin Effects (24 papers), Electrolyte and hormonal disorders (19 papers) and Acute Kidney Injury Research (18 papers). The work is most often cited by research in Nephrology (6.6k citations), Cardiology and Cardiovascular Medicine (4.3k citations) and Hematology (1.3k citations). Danilo Fliser has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Jan T. Kielstein, Eberhard Ritz, Hermann Haller, Gunnar H. Heine, Jürgen Floege, Michael Böhm, Ferdinand H. Bahlmann, Joachim Jankowski, Hermann Haller and Stefanie M. Bode‐Böger. Their work appears in journals such as Nephrology Dialysis Transplantation, Kidney International, Journal of the American Society of Nephrology, European Journal of Clinical Investigation and Clinical Journal of the American Society of 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.

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