Uta Settler

6 papers receiving 963 citations

Uta Settler's Hit Papers

Quercetin reduces systolic blood pressure and plasma oxidised low-density lipoprotein concentrations in overweight subjects with a high-cardiovascular disease risk phenotype: a double-blinded, placebo-controlled cross-over study 2009 · 454 citations
4540+5+11Years since publication100200300400

Peers

Uta Settler
Comparison fields: 5 of 97
  • Biochemistry 175
  • Experimental and Cognitive Psychology 253
  • Endocrine and Autonomic Systems 73
  • Physiology 206
  • Endocrinology, Diabetes and Metabolism 119
Replace Suzanne Summer with:
Suzanne Summer United States
Masanobu Hibi Japan
Joan Lane United Kingdom
Jane A. Rycroft United Kingdom
Suzana Almoosawi United Kingdom
M. Pfeuffer Germany
Vahidreza Ostadmohammadi Iran
Mildred V. Farmer United States
Walter Currenti Italy
Janice E. Maras United States
Uta Settler relative to Suzanne Summer United States Suzanne Summer's profile →
Citations per field
00.5×1.5×1.8×
Suzanne Summer · 1×
Citations per year

Countries citing papers authored by Uta Settler

Since Specialization
Citations

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

Fields of papers citing papers by Uta Settler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1
Quercetin reduces systolic blood pressure and plasma oxidised low-density lipoprotein concentrations in overweight subjects with a high-cardiovascular disease risk phenotype: a double-blinded, placebo-controlled cross-over study
Hit paper breakdown →
2009454
2 2008163
3 2008157
4 2009154
5 200840
6 200825

About Uta Settler

Uta Settler is a scholar working on Experimental and Cognitive Psychology, Endocrinology, Diabetes and Metabolism, Biochemistry, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 993 indexed citations. Recurring topics across this work include Sleep and related disorders (2 papers), Phytochemicals and Antioxidant Activities (1 paper), Natural Antidiabetic Agents Studies (1 paper) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Biochemistry (175 citations), Experimental and Cognitive Psychology (253 citations), Endocrine and Autonomic Systems (73 citations), Physiology (206 citations) and Endocrinology, Diabetes and Metabolism (119 citations). Uta Settler has collaborated with scholars based in Germany and United States. Frequent co-authors include Manfred J. Müller, Anja Bosy‐Westphal, Jürgen Schrezenmeir, Britta Hitze, Sandra Plachta‐Danielzik, Siegfried Wolffram, Sarah Egert, Gerald Rimbach, Jasmin Seiberl and Anika E. Wagner. Their work appears in journals such as American Journal of Clinical Nutrition, Obesity Facts, British Journal Of Nutrition and European Journal of Clinical Nutrition.

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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