Claudia Stäubert

1.4k total citations
27 papers, 911 citations indexed

About

Claudia Stäubert is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Claudia Stäubert has authored 27 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Nutrition and Dietetics. Recurrent topics in Claudia Stäubert's work include Receptor Mechanisms and Signaling (14 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Neuropeptides and Animal Physiology (4 papers). Claudia Stäubert is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Biochemical Analysis and Sensing Techniques (6 papers) and Neuropeptides and Animal Physiology (4 papers). Claudia Stäubert collaborates with scholars based in Germany, United States and Sweden. Claudia Stäubert's co-authors include Torsten Schöneberg, Holger Römpler, Anders Nordström, Oliver Broom, Michael Hofreiter, Anna Peters, Angela Schulz, E.J. Jäger, Heike Biebermann and Mark Stoneking and has published in prestigious journals such as Science, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Claudia Stäubert

27 papers receiving 890 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claudia Stäubert Germany 17 546 191 128 125 106 27 911
Benjamin R. Myers United States 12 852 1.6× 220 1.2× 53 0.4× 266 2.1× 48 0.5× 15 1.2k
Agustı́n Aoki Argentina 21 506 0.9× 98 0.5× 82 0.6× 208 1.7× 42 0.4× 56 1.6k
Willem Oelofsen South Africa 17 396 0.7× 196 1.0× 89 0.7× 56 0.4× 39 0.4× 85 881
Sheng Cui China 19 546 1.0× 70 0.4× 49 0.4× 236 1.9× 339 3.2× 103 1.3k
Manabu Tsuda Japan 21 956 1.8× 313 1.6× 137 1.1× 159 1.3× 66 0.6× 40 1.5k
Elisa Alvarez‐Curto United Kingdom 20 970 1.8× 403 2.1× 108 0.8× 70 0.6× 28 0.3× 27 1.5k
José Luis de la Vega‐Beltrán Mexico 24 643 1.2× 255 1.3× 61 0.5× 192 1.5× 18 0.2× 32 2.0k
Joseph Orly Israel 15 672 1.2× 174 0.9× 47 0.4× 167 1.3× 60 0.6× 18 1.1k
Andrea Calixto Chile 14 678 1.2× 110 0.6× 39 0.3× 89 0.7× 57 0.5× 28 1.2k
Shigeo Takashima Japan 19 629 1.2× 274 1.4× 31 0.2× 116 0.9× 97 0.9× 65 1.1k

Countries citing papers authored by Claudia Stäubert

Since Specialization
Citations

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

Fields of papers citing papers by Claudia Stäubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claudia Stäubert

This figure shows the co-authorship network connecting the top 25 collaborators of Claudia Stäubert. A scholar is included among the top collaborators of Claudia Stäubert 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 Claudia Stäubert. Claudia Stäubert 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.
Bischof, Felix, Angela Schulz, Susan Billig, et al.. (2025). Succinate receptor 1 signaling mutually depends on subcellular localization and cellular metabolism. FEBS Journal. 292(8). 2017–2050. 4 indexed citations
2.
Heinitz, Sascha, Michael Traurig, Jonathan Krakoff, et al.. (2024). An E115A Missense Variant in CERS2 Is Associated With Increased Sleeping Energy Expenditure and Hepatic Insulin Resistance in American Indians. Diabetes. 73(8). 1361–1371. 1 indexed citations
3.
Stäubert, Claudia, et al.. (2023). Protocol to characterize Gi/o and Gs protein-coupled receptors in transiently transfected cells using ELISA and cAMP measurements. STAR Protocols. 4(1). 102120–102120. 3 indexed citations
4.
Landgraf, Kathrin, Robert Stein, Anja Hilbert, et al.. (2022). Aberrant expression of agouti signaling protein (ASIP) as a cause of monogenic severe childhood obesity. Nature Metabolism. 4(12). 1697–1712. 17 indexed citations
5.
Kleinau, Gunnar, et al.. (2022). Evolutionary analyses reveal immune cell receptor GPR84 as a conserved receptor for bacteria-derived molecules. iScience. 25(10). 105087–105087. 9 indexed citations
6.
Stäubert, Claudia, et al.. (2022). Superconserved receptors expressed in the brain: Expression, function, motifs and evolution of an orphan receptor family. Pharmacology & Therapeutics. 240. 108217–108217. 7 indexed citations
7.
8.
Peters, Anna, et al.. (2021). Hydroxycarboxylic acid receptor 3 and GPR84 – Two metabolite-sensing G protein-coupled receptors with opposing functions in innate immune cells. Pharmacological Research. 176. 106047–106047. 16 indexed citations
9.
Kraft, Robert, et al.. (2021). Succinate receptor 1 inhibits mitochondrial respiration in cancer cells addicted to glutamine. Cancer Letters. 526. 91–102. 22 indexed citations
10.
Peters, Anna, et al.. (2020). Natural biased signaling of hydroxycarboxylic acid receptor 3 and G protein-coupled receptor 84. Cell Communication and Signaling. 18(1). 31–31. 18 indexed citations
11.
Peters, Anna, E.J. Jäger, Anna Heintz‐Buschart, et al.. (2019). Metabolites of lactic acid bacteria present in fermented foods are highly potent agonists of human hydroxycarboxylic acid receptor 3. PLoS Genetics. 15(5). e1008145–e1008145. 115 indexed citations
12.
Wach, Sven, Elke Nolte, Omar Al‐Janabi, et al.. (2019). Exploring the MIR143-UPAR Axis for the Inhibition of Human Prostate Cancer Cells In Vitro and In Vivo. Molecular Therapy — Nucleic Acids. 16. 272–283. 20 indexed citations
13.
Stäubert, Claudia, et al.. (2015). Increased lanosterol turnover: a metabolic burden for daunorubicin-resistant leukemia cells. Medical Oncology. 33(1). 6–6. 16 indexed citations
14.
Stäubert, Claudia, Anna Lindahl, Oliver Broom, et al.. (2015). Rewired Metabolism in Drug-resistant Leukemia Cells. Journal of Biological Chemistry. 290(13). 8348–8359. 64 indexed citations
15.
Cöster, Maxi, Heike Biebermann, Torsten Schöneberg, & Claudia Stäubert. (2015). Evolutionary Conservation of 3-Iodothyronamine as an Agonist at the Trace Amine-Associated Receptor 1. European Thyroid Journal. 4(Suppl. 1). 9–20. 21 indexed citations
16.
Khajavi, Noushafarin, Maxi Cöster, Thomas Hermsdorf, et al.. (2015). The Multitarget Ligand 3-Iodothyronamine Modulates β-Adrenergic Receptor 2 Signaling. European Thyroid Journal. 4(Suppl. 1). 21–29. 24 indexed citations
17.
Strotmann, Rainer, et al.. (2010). Evolution of GPCR: Change and continuity. Molecular and Cellular Endocrinology. 331(2). 170–178. 70 indexed citations
18.
Stäubert, Claudia, et al.. (2010). Structural and Functional Evolution of the Trace Amine-Associated Receptors TAAR3, TAAR4 and TAAR5 in Primates. PLoS ONE. 5(6). e11133–e11133. 41 indexed citations
19.
Stäubert, Claudia, et al.. (2008). Selective activation of G alpha i mediated signalling of S1P3 by FTY720-phosphate. Cellular Signalling. 20(6). 1125–1133. 41 indexed citations
20.
Lalueza‐Fox, Carles, Holger Römpler, David Caramelli, et al.. (2007). A Melanocortin 1 Receptor Allele Suggests Varying Pigmentation Among Neanderthals. Science. 318(5855). 1453–1455. 201 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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