Uta Settler

1.3k citations
6 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

Uta Settler

6 papers receiving 1.0k 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 · 487 citations
4870+5+11Years since publication100200300400

Peers

Uta Settler
Comparison fields: 5 of 98
  • Biochemistry 195
  • Experimental and Cognitive Psychology 269
  • Endocrine and Autonomic Systems 84
  • Physiology 220
  • Endocrinology, Diabetes and Metabolism 125
Replace Masanobu Hibi with:
Masanobu Hibi Japan
Joan Lane United Kingdom
Naomi Omi Japan
Rocío Barragán-Arnal Spain
Walter Currenti Italy
Youngju Choi Japan
Annalisa Opizzi Italy
Nilüfer Acar Tek Türkiye
Halil Özkol Türkiye
Seong Ah Shin South Korea
Uta Settler relative to Masanobu Hibi Japan Masanobu Hibi's profile →
Citations per field
00.5×1.5×2×2.4×
Masanobu Hibi · 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 →
2009487
2 2008179
3 2009165
4 2008159
5 200841
6 200826

About Uta Settler

Uta Settler is a scholar working on Experimental and Cognitive Psychology, Biochemistry, Endocrinology, Diabetes and Metabolism, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sleep and related disorders (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Phytochemicals and Antioxidant Activities (1 paper) and Natural Antidiabetic Agents Studies (1 paper). The work is most often cited by research in Biochemistry (195 citations), Experimental and Cognitive Psychology (269 citations), Endocrine and Autonomic Systems (84 citations), Physiology (220 citations) and Endocrinology, Diabetes and Metabolism (125 citations). Uta Settler has collaborated with scholars based in Germany and United States. Frequent co-authors include Manfred James Müller, Anja Bosy‐Westphal, Jürgen Schrezenmeir, Britta Hitze, Sandra Plachta‐Danielzik, Jasmin Seiberl, Jan Frank, Siegfried Wolffram, Gerald Rimbach and Sarah Egert. 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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