Franz Rinninger

5.2k total citations · 1 hit paper
63 papers, 4.3k citations indexed

About

Franz Rinninger is a scholar working on Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Franz Rinninger has authored 63 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Surgery, 27 papers in Molecular Biology and 18 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Franz Rinninger's work include Cholesterol and Lipid Metabolism (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Peroxisome Proliferator-Activated Receptors (14 papers). Franz Rinninger is often cited by papers focused on Cholesterol and Lipid Metabolism (28 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers) and Peroxisome Proliferator-Activated Receptors (14 papers). Franz Rinninger collaborates with scholars based in Germany, United States and Australia. Franz Rinninger's co-authors include Jöerg Heeren, Alan R. Tall, R C Pittman, Martin Merkel, Nan Wang, Alexander Bartelt, Heiner Greten, Takeshi Arai, Barbara Freund and Alexander Eychmüller and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Franz Rinninger

61 papers receiving 4.2k citations

Hit Papers

Brown adipose tissue activity controls triglyceride clear... 2011 2026 2016 2021 2011 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franz Rinninger Germany 32 1.8k 1.5k 1.5k 989 872 63 4.3k
Vladimir R. Babaev United States 37 1.4k 0.8× 754 0.5× 2.5k 1.7× 688 0.7× 1.4k 1.6× 69 5.5k
Hiroaki Okazaki Japan 31 2.1k 1.1× 904 0.6× 2.5k 1.7× 705 0.7× 994 1.1× 75 5.0k
Murielle M. Véniant United States 44 1.4k 0.8× 1.2k 0.8× 3.7k 2.4× 1.5k 1.5× 961 1.1× 95 6.5k
Rajendra K. Tangirala United States 37 1.9k 1.1× 640 0.4× 2.2k 1.5× 568 0.6× 829 1.0× 44 5.6k
Ken Ohashi Japan 37 2.5k 1.4× 1.1k 0.7× 3.2k 2.1× 1.0k 1.1× 1.3k 1.5× 85 6.4k
John C. Yoon United States 14 900 0.5× 2.1k 1.4× 3.6k 2.4× 574 0.6× 844 1.0× 21 5.5k
Yoshimi Nakagawa Japan 36 1.2k 0.7× 852 0.6× 2.7k 1.8× 616 0.6× 1.1k 1.3× 94 4.8k
Trey Coleman United States 30 761 0.4× 1.6k 1.0× 2.0k 1.4× 552 0.6× 955 1.1× 42 4.0k
Michiyo Amemiya-Kudo Japan 19 1.9k 1.0× 656 0.4× 2.0k 1.3× 648 0.7× 827 0.9× 22 3.9k
Janet D. Sparks United States 36 862 0.5× 660 0.4× 1.8k 1.2× 1.3k 1.3× 1.0k 1.2× 79 3.8k

Countries citing papers authored by Franz Rinninger

Since Specialization
Citations

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

Fields of papers citing papers by Franz Rinninger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Franz Rinninger

This figure shows the co-authorship network connecting the top 25 collaborators of Franz Rinninger. A scholar is included among the top collaborators of Franz Rinninger 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 Franz Rinninger. Franz Rinninger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Heine, Markus, Franz Rinninger, Michelle Y. Jaeckstein, et al.. (2025). Endothelial SR-B1 is dispensable for thermogenesis but promotes selective cholesterol uptake in brown adipose tissue. Journal of Lipid Research. 66(10). 100894–100894.
2.
Li, Jun, Martina Koch, Katja Kloth, et al.. (2018). Dual antibody induction and de novo use of everolimus enable low-dose tacrolimus with early corticosteroid withdrawal in simultaneous pancreas-kidney transplantation. Transplant Immunology. 50. 26–33. 4 indexed citations
3.
Bartelt, Alexander, Clara John, Nicola Schaltenberg, et al.. (2017). Thermogenic adipocytes promote HDL turnover and reverse cholesterol transport. Nature Communications. 8(1). 15010–15010. 111 indexed citations
4.
Pfeiler, Susanne, Avinash Khandagale, Astrid Magenau, et al.. (2016). Distinct surveillance pathway for immunopathology during acute infection via autophagy and SR-BI. Scientific Reports. 6(1). 34440–34440. 14 indexed citations
5.
Rinninger, Franz, Markus Heine, Roshni R. Singaraja, et al.. (2014). High density lipoprotein metabolism in low density lipoprotein receptor-deficient mice. Journal of Lipid Research. 55(9). 1914–1924. 15 indexed citations
6.
Windler, Eberhard, et al.. (2009). Current Strategies and Recent Advances in the Therapy of Hypercholesterolemia. Atherosclerosis Supplements. 10(5). 1–4. 6 indexed citations
7.
Karasinska, Joanna M., Franz Rinninger, Dieter Lütjohann, et al.. (2009). Specific Loss of Brain ABCA1 Increases Brain Cholesterol Uptake and Influences Neuronal Structure and Function. Journal of Neuroscience. 29(11). 3579–3589. 114 indexed citations
8.
Yvan‐Charvet, Laurent, Tamara A. Pagler, Nan Wang, et al.. (2007). SR-BI inhibits ABCG1-stimulated net cholesterol efflux from cells to plasma HDL. Journal of Lipid Research. 49(1). 107–114. 37 indexed citations
9.
Grewal, Thomas, Carles Rentero, Francesc Tebar, et al.. (2005). Annexin A6 stimulates the membrane recruitment of p120GAP to modulate Ras and Raf-1 activity. Oncogene. 24(38). 5809–5820. 81 indexed citations
10.
Heeren, Jöerg, Thomas Grewal, A. Laatsch, et al.. (2004). Impaired Recycling of Apolipoprotein E4 Is Associated with Intracellular Cholesterol Accumulation. Journal of Biological Chemistry. 279(53). 55483–55492. 114 indexed citations
11.
Grewal, Thomas, Iñaki de Diego, Francesc Tebar, et al.. (2003). High Density Lipoprotein-induced Signaling of the MAPK Pathway Involves Scavenger Receptor Type BI-mediated Activation of Ras. Journal of Biological Chemistry. 278(19). 16478–16481. 68 indexed citations
12.
13.
Wang, Nan, Takeshi Arai, Yong Ji, Franz Rinninger, & Alan R. Tall. (1998). Liver-specific Overexpression of Scavenger Receptor BI Decreases Levels of Very Low Density Lipoprotein ApoB, Low Density Lipoprotein ApoB, and High Density Lipoprotein in Transgenic Mice. Journal of Biological Chemistry. 273(49). 32920–32926. 237 indexed citations
15.
Völk, Christian, et al.. (1995). [The significance of insulin resistance and hyperlipidemia in microvascular angina (syndrome X)].. PubMed. 84(3). 180–9. 2 indexed citations
17.
Rinninger, Franz, et al.. (1993). A pool of reversibly cell-associated cholesteryl esters involved in the selective uptake of cholesteryl esters from high-density lipoproteins by Hep G2 hepatoma cells. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1166(2-3). 275–283. 33 indexed citations
19.
Jäckle, Stefan, et al.. (1990). The Endocytosis of Lipoproteins by the Liver and their Intracellular Pathway in Comparison to other Ligands. Advances in experimental medicine and biology. 285. 319–324. 1 indexed citations
20.
Rinninger, Franz & H. Greten. (1990). High-density lipoprotein particle uptake and selective uptake of high-density lipoprotein-associated cholesteryl esters by J774 macrophages. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1043(3). 318–326. 27 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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