Teut Risler

3.4k citations
72 papers · 2.6k indexed · h-index 27

Teut Risler

72 papers receiving 2.5k citations

Peers

Teut Risler
Comparison fields: 5 of 106
  • Nephrology 627
  • Hepatology 413
  • Transplantation 59
  • Physiology 87
  • Physiology 485
Replace Carine J. Peutz‐Kootstra with:
Carine J. Peutz‐Kootstra Netherlands
Bernd Hohenstein Germany
J. Egido Spain
Behzad Najafian United States
Alison J. Cox Australia
Eliyahu V. Khankin United States
Christian Rosenberger Germany
Waichi Sato Japan
Faikah Gueler Germany
David A. Ferenbach United Kingdom
Teut Risler relative to Carine J. Peutz‐Kootstra Netherlands Carine J. Peutz‐Kootstra's profile →
Citations per field
00.5×3.1×
Carine J. Peutz‐Kootstra · 1×
Citations per year

Countries citing papers authored by Teut Risler

Since Specialization
Citations

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

Fields of papers citing papers by Teut Risler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200813
2 20089
3 200733
4 200737
5 200727
6 200728
7 200650
8 20066
9 200614
10 200410
11 200213
12
Clinical significance of cell volume regulation
20018
13 200089
14 20007
15 199936
16
Kinetics of Immunoglobulins and Immune-Complexes During Immunoadsorption onto Protein-A in Systemic Lupus Erythematosus(Collagen Disease,General Presentation) :
19971
17 199722
18 199221
19 19899
20 198949

About Teut Risler

Teut Risler is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 2.6k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (13 papers), Ion Transport and Channel Regulation (11 papers), Blood Pressure and Hypertension Studies (9 papers), Nitric Oxide and Endothelin Effects (8 papers), Electrolyte and hormonal disorders (8 papers), Renal Diseases and Glomerulopathies (7 papers), Renin-Angiotensin System Studies (7 papers) and Systemic Lupus Erythematosus Research (5 papers). The work is most often cited by research in Nephrology (627 citations), Hepatology (413 citations) and Transplantation (59 citations). Teut Risler has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Christiane M. Erley, Florian Läng, Elke D. Berger, Björn Friedrich, Norbert Braun, A. Böhle, W. Lauchart, Philipp A. Lang, Hartmut Oßwald and Stephan H. Duda. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Kidney & Blood Pressure Research, Kidney International, Cellular Physiology and Biochemistry and Journal 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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