K. Rett

4.6k citations
83 papers · 3.4k indexed · 1 hit paper · h-index 28

K. Rett

81 papers receiving 3.3k citations

Hit Papers

Association of increased intramyocellular lipid content w...5201999202620082017100200300400500

Peers

K. Rett
Comparison fields: 5 of 104
  • Endocrinology, Diabetes and Metabolism 987
  • Biochemistry 408
  • Physiology 1.4k
  • Cardiology and Cardiovascular Medicine 1.0k
  • Cell Biology 383
Replace Stephan Jacob with:
Stephan Jacob Germany
Robert Bergholm Finland
Annayya R. Aroor United States
Johan Van de Voorde Belgium
Takashi Uzu Japan
Christian Rask‐Madsen United States
Pawel M. Kaminski United States
Livius V. d’Uscio United States
Youichi Abe Japan
Nobuo Sakamoto Japan
K. Rett relative to Stephan Jacob Germany Stephan Jacob's profile →
Citations per field
00.5×1.5×
Stephan Jacob · 1×
Citations per year

Countries citing papers authored by K. Rett

Since Specialization
Citations

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

Fields of papers citing papers by K. Rett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201852
2 200435
3 200218
4 200154
5 200051
6 199953
7 199932
8 1999218
9 199935
10 199714
11 199654
12 199427
13 199414
14 199220
15 199144
16 19894
17
[Inhibition of muscle amino acid release by infusion of a triglyceride emulsion].
19881
18 19884
19 1987130
20 198722

About K. Rett

K. Rett is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Genetics, having authored 83 papers that have together received 3.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Diet and metabolism studies (15 papers), Adipose Tissue and Metabolism (14 papers), Diabetes Treatment and Management (12 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (11 papers), Muscle metabolism and nutrition (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers) and Pharmacology and Obesity Treatment (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (987 citations), Biochemistry (408 citations) and Physiology (1.4k citations). K. Rett has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include M. Wicklmayr, E. Maerker, W. Renn, G. Dietze, S. Matthäei, Simon N. Jacob, Stephan Jacob, A. Volk, Fritz Schick and H. Mehnert. Their work appears in journals such as Hormone and Metabolic Research, Diabetologia, Diabetes, Experimental and Clinical Endocrinology & Diabetes and Journal of Cardiovascular Pharmacology.

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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