Rita Schüler

480 total citations
9 papers, 371 citations indexed

About

Rita Schüler is a scholar working on Physiology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Rita Schüler has authored 9 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Rita Schüler's work include Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Rita Schüler is often cited by papers focused on Adipose Tissue and Metabolism (4 papers), Diet and metabolism studies (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). Rita Schüler collaborates with scholars based in Germany and United States. Rita Schüler's co-authors include Andreas Pfeiffer, Martin Osterhoff, Michael Kruse, Olga Pivovarova‐Ramich, Alexander S. Mosig, Sascha Sauer, Frank C. Schroeder, Lutz Müller‐Kuhrt, Konrad Büssow and Anja Freiwald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Diabetologia.

In The Last Decade

Rita Schüler

9 papers receiving 363 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rita Schüler Germany 7 163 103 100 50 46 9 371
Chandan K. Maurya India 12 237 1.5× 158 1.5× 101 1.0× 86 1.7× 39 0.8× 16 483
Pragati Singh India 12 142 0.9× 91 0.9× 86 0.9× 78 1.6× 31 0.7× 31 375
Yuki Nakano Japan 12 165 1.0× 116 1.1× 52 0.5× 28 0.6× 26 0.6× 33 543
Azam Moslehi Iran 13 146 0.9× 82 0.8× 57 0.6× 122 2.4× 30 0.7× 30 461
Sherehan M. Ibrahim Egypt 12 140 0.9× 72 0.7× 61 0.6× 49 1.0× 47 1.0× 18 381
Huogen Lu Canada 9 199 1.2× 104 1.0× 140 1.4× 116 2.3× 27 0.6× 10 484
Jin-Taek Hwang South Korea 6 294 1.8× 98 1.0× 143 1.4× 133 2.7× 36 0.8× 7 552
Tie-yun Zhao China 10 96 0.6× 125 1.2× 64 0.6× 59 1.2× 83 1.8× 16 330
Keiko Taketani Japan 6 158 1.0× 120 1.2× 48 0.5× 33 0.7× 27 0.6× 9 327
Eman El Eter Saudi Arabia 9 126 0.8× 46 0.4× 83 0.8× 44 0.9× 21 0.5× 12 367

Countries citing papers authored by Rita Schüler

Since Specialization
Citations

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

Fields of papers citing papers by Rita Schüler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Schüler

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Schüler. A scholar is included among the top collaborators of Rita Schüler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rita Schüler. Rita Schüler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Schüler, Rita, Olga Pivovarova‐Ramich, Silke Hornemann, et al.. (2024). Alterations in Glucagon Levels and the Glucagon-to-Insulin Ratio in Response to High Dietary Fat or Protein Intake in Healthy Lean Adult Twins: A Post Hoc Analysis. Nutrients. 16(22). 3905–3905. 2 indexed citations
2.
Schüler, Rita, Mariya Markova, Martin Osterhoff, et al.. (2021). Similar dietary regulation of IGF-1- and IGF-binding proteins by animal and plant protein in subjects with type 2 diabetes. European Journal of Nutrition. 60(6). 3499–3504. 12 indexed citations
3.
Li, Xu, Rita Schüler, Chenchen Xu, et al.. (2020). Arachidonic acid inhibits the production of angiotensin-converting enzyme in human primary adipocytes via a NF-κB-dependent pathway. Annals of Translational Medicine. 8(24). 1652–1652. 5 indexed citations
4.
Markova, Mariya, et al.. (2019). Predictive effect of GIPR SNP rs10423928 on glucose metabolism liver fat and adiposity in prediabetic and diabetic subjects. Peptides. 125. 170237–170237. 8 indexed citations
5.
Schüler, Rita, Martin Osterhoff, A. Veronica Witte, et al.. (2018). VEGF and GLUT1 are highly heritable, inversely correlated and affected by dietary fat intake: Consequences for cognitive function in humans. Molecular Metabolism. 11. 129–136. 42 indexed citations
6.
Schüler, Rita, Martin Osterhoff, Turid Frahnow, et al.. (2017). Dietary Fat Intake Modulates Effects of a Frequent ACE Gene Variant on Glucose Tolerance with association to Type 2 Diabetes. Scientific Reports. 7(1). 9234–9234. 11 indexed citations
7.
Schüler, Rita, Martin Osterhoff, Turid Frahnow, et al.. (2017). High‐Saturated‐Fat Diet Increases Circulating Angiotensin‐Converting Enzyme, Which Is Enhanced by the rs4343 Polymorphism Defining Persons at Risk of Nutrient‐Dependent Increases of Blood Pressure. Journal of the American Heart Association. 6(1). 41 indexed citations
8.
Gögebakan, Özlem, Martin Osterhoff, Rita Schüler, et al.. (2015). GIP increases adipose tissue expression and blood levels of MCP-1 in humans and links high energy diets to inflammation: a randomised trial. Diabetologia. 58(8). 1759–1768. 79 indexed citations
9.
Weidner, Christopher, Anja Freiwald, Claudia Quedenau, et al.. (2012). Amorfrutins are potent antidiabetic dietary natural products. Proceedings of the National Academy of Sciences. 109(19). 7257–7262. 171 indexed citations

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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