Mette Trauelsen

1.2k total citations · 1 hit paper
14 papers, 746 citations indexed

About

Mette Trauelsen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Mette Trauelsen has authored 14 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 5 papers in Immunology. Recurrent topics in Mette Trauelsen's work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Pancreatic function and diabetes (3 papers). Mette Trauelsen is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (6 papers) and Pancreatic function and diabetes (3 papers). Mette Trauelsen collaborates with scholars based in Denmark, Sweden and United Kingdom. Mette Trauelsen's co-authors include Thue W. Schwartz, Siv A. Hjorth, Anna Sofie Husted, Olga Rudenko, Thomas M. Frimurer, Michael Lückmann, Billy Breton, Asuka Inoue, Da Lin and Matjaž Brvar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Cell and Cell Metabolism.

In The Last Decade

Mette Trauelsen

14 papers receiving 741 citations

Hit Papers

align trajectories

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.

GPCR-Mediated Signaling of Metabolites

2017 435 citations Anna Sofie Husted, Mette Trauelsen et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mette Trauelsen Denmark	10	466	204	124	117	86	14	746
Mario Ruiz Sweden	17	347 0.7×	147 0.7×	94 0.8×	71 0.6×	55 0.6×	27	726
Mohamed Bellahcene United Kingdom	16	604 1.3×	287 1.4×	167 1.3×	96 0.8×	102 1.2×	22	986
Yoshitake Cho United States	16	462 1.0×	209 1.0×	96 0.8×	63 0.5×	86 1.0×	27	781
Junli Zhang China	15	529 1.1×	277 1.4×	224 1.8×	66 0.6×	116 1.3×	39	1.1k
Terhi Vihervaara Finland	16	472 1.0×	147 0.7×	176 1.4×	46 0.4×	68 0.8×	32	824
Stephen Orena United States	14	707 1.5×	229 1.1×	184 1.5×	58 0.5×	178 2.1×	23	1.2k
Aicha Saadane United States	18	424 0.9×	87 0.4×	206 1.7×	139 1.2×	50 0.6×	32	921
Benoît Pourcet France	15	503 1.1×	281 1.4×	195 1.6×	264 2.3×	99 1.2×	23	1.1k
Tahereh Noori Australia	8	537 1.2×	268 1.3×	95 0.8×	87 0.7×	61 0.7×	14	937
Keiko Iida Japan	14	296 0.6×	136 0.7×	94 0.8×	94 0.8×	65 0.8×	36	635

Countries citing papers authored by Mette Trauelsen

Since Specialization

Citations

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

Fields of papers citing papers by Mette Trauelsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mette Trauelsen

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

All Works

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14 of 14 papers shown

Lückmann, Michael, Mette Trauelsen, Matteo Lambrughi, et al.. (2024). Molecular dynamics-based identification of binding pathways and two distinct high-affinity sites for succinate in succinate receptor 1/GPR91. Molecular Cell. 84(5). 955–966.e4. 9 indexed citations

Hauge, M., Oksana Dmytriyeva, Tulika Arora, et al.. (2023). Free fatty acid receptor 1 stimulates cAMP production and gut hormone secretion through Gq-mediated activation of adenylate cyclase 2. Molecular Metabolism. 74. 101757–101757. 8 indexed citations

Dmytriyeva, Oksana, Jiayi Yao, Mette Trauelsen, et al.. (2023). Lactate receptor GPR81 drives breast cancer growth and invasiveness through regulation of ECM properties and Notch ligand DLL4. BMC Cancer. 23(1). 1136–1136. 15 indexed citations

Dmytriyeva, Oksana, Yasemin-Xiomara Zurke, Mette Trauelsen, et al.. (2023). Cell selectivity in succinate receptor SUCNR1/GPR91 signaling in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 324(4). E289–E298. 7 indexed citations

Trauelsen, Mette, et al.. (2023). G-Protein-Coupled Receptor 91-Dependent Signalling Does Not Influence Vascular Inflammation and Atherosclerosis in Hyperlipidaemic Mice. Cells. 12(21). 2580–2580. 2 indexed citations

Tang, Xiao, Elin Rönnberg, Jesper Säfholm, et al.. (2022). Activation of succinate receptor 1 boosts human mast cell reactivity and allergic bronchoconstriction. Allergy. 77(9). 2677–2687. 14 indexed citations

Trauelsen, Mette, Da Lin, Billy Breton, et al.. (2021). Extracellular succinate hyperpolarizes M2 macrophages through SUCNR1/GPR91-mediated Gq signaling. Cell Reports. 35(11). 109246–109246. 104 indexed citations

Lückmann, Michael, Mette Trauelsen, Thomas M. Frimurer, & Thue W. Schwartz. (2020). Structural basis for GPCR signaling by small polar versus large lipid metabolites—discovery of non-metabolite ligands. Current Opinion in Cell Biology. 63. 38–48. 18 indexed citations

Tang, Xiao, David Fuchs, Shuai Tan, et al.. (2020). Activation of metabolite receptor GPR91 promotes platelet aggregation and transcellular biosynthesis of leukotriene C4. Journal of Thrombosis and Haemostasis. 18(4). 976–984. 11 indexed citations

10.

Lückmann, Michael, Mette Trauelsen, João M. Martins, et al.. (2019). Molecular dynamics-guided discovery of an ago-allosteric modulator for GPR40/FFAR1. Proceedings of the National Academy of Sciences. 116(14). 7123–7128. 39 indexed citations

11.

Trauelsen, Mette, et al.. (2018). Structure-Activity Investigations and Optimisations of Non-metabolite Agonists for the Succinate Receptor 1. Scientific Reports. 8(1). 10010–10010. 16 indexed citations

12.

Trauelsen, Mette, Siv A. Hjorth, Matjaž Brvar, et al.. (2017). Receptor structure-based discovery of non-metabolite agonists for the succinate receptor GPR91. Molecular Metabolism. 6(12). 1585–1596. 46 indexed citations

13.

Husted, Anna Sofie, Mette Trauelsen, Olga Rudenko, Siv A. Hjorth, & Thue W. Schwartz. (2017). GPCR-Mediated Signaling of Metabolites. Cell Metabolism. 25(4). 777–796. 435 indexed citations breakdown →

14.

Prause, Michala, Lukas Adrian Berchtold, Mette Trauelsen, et al.. (2015). TRAF2 mediates JNK and STAT3 activation in response to IL-1β and IFNγ and facilitates apoptotic death of insulin-producing β-cells. Molecular and Cellular Endocrinology. 420. 24–36. 22 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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