Andreas Gille

5.0k total citations · 1 hit paper
58 papers, 3.6k citations indexed

About

Andreas Gille is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Andreas Gille has authored 58 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 21 papers in Surgery and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Andreas Gille's work include Lipoproteins and Cardiovascular Health (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Cholesterol and Lipid Metabolism (8 papers). Andreas Gille is often cited by papers focused on Lipoproteins and Cardiovascular Health (16 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (12 papers) and Cholesterol and Lipid Metabolism (8 papers). Andreas Gille collaborates with scholars based in United States, Germany and Australia. Andreas Gille's co-authors include Stefan Offermanns, Kashan Ahmed, Roland Seifert, Sorin Tunaru, Samuel D. Wright, Cong Tang, Jukka Kero, Julien Hanson, Zoltán Benyó and Tung‐Chung Mou and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Circulation.

In The Last Decade

Andreas Gille

56 papers receiving 3.6k citations

Hit Papers

GPR41/FFAR3 and GPR43/FFAR2 as Cosensors for Short-Chain ... 2013 2026 2017 2021 2013 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPR41/FFAR3 and GPR43/FFAR2 as Cosensors for Short-Chain Fatty Acids in Enteroendocrine Cells vs FFAR3 in Enteric Neurons and FFAR2 in Enteric Leukocytes
    2013 448 citations Andreas Gille, Stefan Offermanns et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Gille United States 25 1.9k 944 890 774 309 58 3.6k
Noriyuki Sonoda Japan 32 1.9k 1.0× 692 0.7× 1.0k 1.2× 874 1.1× 346 1.1× 58 4.5k
Jukka Kero Finland 27 1.4k 0.7× 583 0.6× 861 1.0× 797 1.0× 379 1.2× 53 3.4k
Enrique Roche Spain 38 2.4k 1.3× 2.2k 2.4× 1.1k 1.2× 961 1.2× 175 0.6× 172 5.5k
Maria F. Gomez Sweden 34 1.6k 0.9× 598 0.6× 419 0.5× 421 0.5× 515 1.7× 112 3.6k
Andreas Barthel Germany 27 2.4k 1.3× 751 0.8× 530 0.6× 1.4k 1.8× 246 0.8× 62 4.7k
Atsuhiko Ichimura Japan 28 2.6k 1.4× 608 0.6× 1.5k 1.7× 567 0.7× 271 0.9× 48 4.4k
Tian‐Quan Cai United States 23 1.2k 0.6× 460 0.5× 558 0.6× 475 0.6× 531 1.7× 37 3.0k
Christopher P. Jenkinson United States 29 1.8k 0.9× 529 0.6× 1.8k 2.0× 751 1.0× 413 1.3× 60 4.2k
Jin Yu China 41 2.2k 1.2× 351 0.4× 1.1k 1.2× 391 0.5× 502 1.6× 153 5.0k
Mei Zhu China 38 1.7k 0.9× 313 0.3× 948 1.1× 397 0.5× 191 0.6× 117 4.1k

Countries citing papers authored by Andreas Gille

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Gille

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Gille

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Gille. A scholar is included among the top collaborators of Andreas Gille 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 Andreas Gille. Andreas Gille 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.
2.
Gille, Andreas, Samuel D. Wright, Michael A. Tortorici, et al.. (2017). Abstract 16500: CSL112 Restores Cholesterol Efflux in Patients Immediately After Acute Myocardial Infarction. Circulation. 3 indexed citations
3.
Gille, Andreas, Denise D’Andrea, Pierluigi Tricoci, et al.. (2013). Abstract 15780: CSL112, A Novel Formulation of Human Apolipoprotein A-I, Dramatically Increases Cholesterol Efflux Capacity in Patients With Stable Atherothrombotic Disease: A Multicenter, Randomized, Double-Blind, Placebo-Controlled, Ascending-Dose Study. Circulation. 128. 3 indexed citations
4.
Easton, Rachael, Andreas Gille, Denise D’Andrea, et al.. (2013). A multiple ascending dose study of CSL112, an infused formulation of ApoA‐I. The Journal of Clinical Pharmacology. 54(3). 301–310. 74 indexed citations
5.
Gille, Andreas, Rachael Easton, Samuel D. Wright, & Charles L. Shear. (2012). Abstract 11855: CSL112, a Novel Formulation of Human Apolipoprotein A-I, Dramatically Increases Cholesterol Efflux Capacity in Healthy Subjects: A, Placebo-Controlled, Double-Blinded, Randomized Single Ascending Dose Study. Circulation. 126. 6 indexed citations
6.
Gille, Andreas, Rachael Easton, Samuel D. Wright, & Charles L. Shear. (2012). Abstract 11851: CSL112, a Novel Formulation of Human Apolipoprotein A-I, Provides Sustained Increases in Biomarkers of Cholesterol Transport Following Repeat Dosing: A Placebo-Controlled, Randomized Multiple Ascending Dose Study in Healthy Subjects. Circulation. 126. 3 indexed citations
7.
Lukasova, Martina, Camille Malaval, Andreas Gille, Jukka Kero, & Stefan Offermanns. (2011). Nicotinic acid inhibits progression of atherosclerosis in mice through its receptor GPR109A expressed by immune cells. Journal of Clinical Investigation. 121(3). 1163–1173. 209 indexed citations
8.
Dixit, Anshuman, Tung‐Chung Mou, Gerald H. Lushington, et al.. (2011). Structural Basis for the High-Affinity Inhibition of Mammalian Membranous Adenylyl Cyclase by 2′,3′-O-(N-Methylanthraniloyl)-Inosine 5′-Triphosphate. Molecular Pharmacology. 80(1). 87–96. 11 indexed citations
9.
Hanson, Julien, Andreas Gille, Martina Lukasova, et al.. (2010). Nicotinic acid– and monomethyl fumarate–induced flushing involves GPR109A expressed by keratinocytes and COX-2–dependent prostanoid formation in mice. Journal of Clinical Investigation. 120(8). 2910–2919. 165 indexed citations
10.
Ahmed, Kashan, Sorin Tunaru, Cong Tang, et al.. (2010). An Autocrine Lactate Loop Mediates Insulin-Dependent Inhibition of Lipolysis through GPR81. Cell Metabolism. 11(4). 311–319. 325 indexed citations
11.
König, Burkhard, et al.. (2009). Characterization of Mouse Heart Adenylyl Cyclase. Journal of Pharmacology and Experimental Therapeutics. 329(3). 1156–1165. 35 indexed citations
12.
Gille, Andreas, Zhixiong Guo, Tung‐Chung Mou, et al.. (2005). Differential interactions of G-proteins and adenylyl cyclase with nucleoside 5′-triphosphates, nucleoside 5′-[γ-thio]triphosphates and nucleoside 5′-[β,γ-imido]triphosphates. Biochemical Pharmacology. 71(1-2). 89–97. 16 indexed citations
13.
Mou, Tung‐Chung, Andreas Gille, David Fancy, Roland Seifert, & Stephen R. Sprang. (2005). Structural Basis for the Inhibition of Mammalian Membrane Adenylyl Cyclase by 2 ′(3′)-O-(N-Methylanthraniloyl)-guanosine 5 ′-Triphosphate. Journal of Biological Chemistry. 280(8). 7253–7261. 65 indexed citations
14.
Gille, Andreas & Roland Seifert. (2004). Xanthine nucleotide-specific G-protein a-subunits: a novel approach for the analysis of G-protein-mediated signal transduction. Naunyn-Schmiedeberg s Archives of Pharmacology. 369(2). 141–150. 6 indexed citations
15.
Gille, Andreas, Gerald H. Lushington, Tung‐Chung Mou, et al.. (2004). Differential Inhibition of Adenylyl Cyclase Isoforms and Soluble Guanylyl Cyclase by Purine and Pyrimidine Nucleotides. Journal of Biological Chemistry. 279(19). 19955–19969. 91 indexed citations
16.
Gille, Andreas & Roland Seifert. (2003). Co-expression of the β2-adrenoceptor and dopamine D1-receptor with Gsα proteins in Sf9 insect cells: limitations in comparison with fusion proteins. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1613(1-2). 101–114. 18 indexed citations
17.
Gille, Andreas & Roland Seifert. (2003). 2′(3′)-O-(N-Methylanthraniloyl)-substituted GTP Analogs: A Novel Class of Potent Competitive Adenylyl Cyclase Inhibitors. Journal of Biological Chemistry. 278(15). 12672–12679. 44 indexed citations
18.
Gille, Andreas & Roland Seifert. (2003). Low-affinity interactions of BODIPY-FL-GTP?S and BODIPY-FL-GppNHp with Gi- and Gs-proteins. Naunyn-Schmiedeberg s Archives of Pharmacology. 368(3). 210–215. 15 indexed citations
19.
Gille, Andreas, et al.. (2002). Distinct Interactions of GTP, UTP, and CTP with GsProteins. Journal of Biological Chemistry. 277(37). 34434–34442. 13 indexed citations
20.
Gille, Christoph, Andreas Gille, Patrick Booms, Peter N. Robinson, & Peter Nürnberg. (1998). Bipolar clamping improves the sensitivity of mutation detection by temperature gradient gel electrophoresis. Electrophoresis. 19(8-9). 1347–1350. 9 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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