A. Thomsen

2.9k total citations · 1 hit paper
32 papers, 1.5k citations indexed

About

A. Thomsen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, A. Thomsen has authored 32 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Cellular and Molecular Neuroscience and 5 papers in Plant Science. Recurrent topics in A. Thomsen's work include Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (9 papers) and Parathyroid Disorders and Treatments (4 papers). A. Thomsen is often cited by papers focused on Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (9 papers) and Parathyroid Disorders and Treatments (4 papers). A. Thomsen collaborates with scholars based in United States, Denmark and Canada. A. Thomsen's co-authors include Robert J. Lefkowitz, Hans Bräuner‐Osborne, James W. Wisler, Kunhong Xiao, Ryan T. Strachan, Bianca Plouffe, Biswaranjan Pani, Alem W. Kahsai, Thomas J. Cahill and Jeffrey Tarrasch and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

A. Thomsen

31 papers receiving 1.5k 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-G Protein-β-Arrestin Super-Complex Mediates Sustained G Protein Signaling

2016 410 citations A. Thomsen, Bianca Plouffe et al. Cell profile →

Peers

A. Thomsen

MB

CMN

CCM

NEPHR

SURGE

Zohreh Hosseinzadeh Germany

Sabina Honisch Germany

Victoria Makrides Switzerland

Motoyoshi Sakaue Japan

Marie‐Françoise Arthus Canada

Guilai Liu Germany

Chen-Hsiung Yeh United States

Florian Lang Germany

Gen Wen United States

Penny Roon United States

Zohreh Hosseinzadeh Germany

A. Thomsen

1.1k ×1.0

MB

446 ×0.7

CMN

301 ×2.0

CCM

253 ×2.0

NEPHR

125 ×1.0

SURGE

Citations per year, relative to A. Thomsen A. Thomsen (= 1×) peers Zohreh Hosseinzadeh

Countries citing papers authored by A. Thomsen

Since Specialization

Citations

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

Fields of papers citing papers by A. Thomsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Thomsen

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

All Works

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20 of 20 papers shown

1.

Thomsen, A., et al.. (2025). Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery. Biomolecules. 15(3). 423–423. 2 indexed citations

2.

Peach, Chloe J., Raquel Tonello, Kimberly Gómez, et al.. (2024). Neuropilin-1 inhibition suppresses nerve growth factor signaling and nociception in pain models. Journal of Clinical Investigation. 135(4). 6 indexed citations

3.

Nguyen, Anthony H., A. Thomsen, Li-Yin Huang, et al.. (2024). Role of the V2R–βarrestin–Gβγ complex in promoting G protein translocation to endosomes. Communications Biology. 7(1). 826–826. 2 indexed citations

4.

Hégron, Alan, Chloe J. Peach, Raquel Tonello, et al.. (2023). Therapeutic antagonism of the neurokinin 1 receptor in endosomes provides sustained pain relief. Proceedings of the National Academy of Sciences. 120(22). e2220979120–e2220979120. 22 indexed citations

5.

Wright, Adam, et al.. (2023). β-Arrestin-dependent and -independent endosomal G protein activation by the vasopressin type 2 receptor. eLife. 12. 5 indexed citations

6.

Latorre, Rocco, Alan Hégron, Chloe J. Peach, et al.. (2022). Mice expressing fluorescent PAR ₂ reveal that endocytosis mediates colonic inflammation and pain. Proceedings of the National Academy of Sciences. 119(6). 25 indexed citations

7.

Thomsen, A., Dane D. Jensen, Gareth A. Hicks, & Nigel W. Bunnett. (2018). Therapeutic Targeting of Endosomal G-Protein-Coupled Receptors. Trends in Pharmacological Sciences. 39(10). 879–891. 78 indexed citations

8.

Thomsen, A., Bianca Plouffe, Thomas J. Cahill, et al.. (2016). GPCR-G Protein-β-Arrestin Super-Complex Mediates Sustained G Protein Signaling. Cell. 166(4). 907–919. 410 indexed citations breakdown →

9.

Strachan, Ryan T., Jin‐Peng Sun, David H. Rominger, et al.. (2014). Divergent Transducer-specific Molecular Efficacies Generate Biased Agonism at a G Protein-coupled Receptor (GPCR). Journal of Biological Chemistry. 289(20). 14211–14224. 101 indexed citations

10.

Johansson, Henrik, Thomas Cailly, A. Thomsen, Hans Bräuner‐Osborne, & Daniel Sejer Pedersen. (2013). Synthesis of the calcilytic ligand NPS 2143. Beilstein Journal of Organic Chemistry. 9. 1383–1387. 6 indexed citations

11.

Wisler, James W., Kunhong Xiao, A. Thomsen, & Robert J. Lefkowitz. (2013). Recent developments in biased agonism. Current Opinion in Cell Biology. 27. 18–24. 230 indexed citations

12.

Quinn, Stephen, A. Thomsen, Jian Pang, et al.. (2012). Interactions between calcium and phosphorus in the regulation of the production of fibroblast growth factor 23 in vivo. American Journal of Physiology-Endocrinology and Metabolism. 304(3). E310–E320. 84 indexed citations

13.

Thomsen, A., Jesper Worm, Sven‐Erik Jacobsen, et al.. (2012). Strontium Is a Biased Agonist of the Calcium-Sensing Receptor in Rat Medullary Thyroid Carcinoma 6-23 Cells. Journal of Pharmacology and Experimental Therapeutics. 343(3). 638–649. 36 indexed citations

14.

Thomsen, A., Sanela Smajilovic, & Hans Bräuner‐Osborne. (2012). Novel Strategies in Drug Discovery of the Calcium-Sensing Receptor Based on Biased Signaling. Current Drug Targets. 13(10). 1324–1335. 16 indexed citations

15.

Gloriam, David E., Petrine Wellendorph, Lars Dan Johansen, et al.. (2011). Chemogenomic Discovery of Allosteric Antagonists at the GPRC6A Receptor. Chemistry & Biology. 18(11). 1489–1498. 34 indexed citations

16.

Thomsen, A., et al.. (2011). Biased agonism of the calcium-sensing receptor. Cell Calcium. 51(2). 107–116. 80 indexed citations

17.

Raffan, Eleanor, Maria A. Soos, Nuno Rocha, et al.. (2011). Founder effect in the Horn of Africa for an insulin receptor mutation that may impair receptor recycling. Diabetologia. 54(5). 1057–1065. 9 indexed citations

18.

Thomsen, A., et al.. (1989). Long-term prognosis of pregnancies in women with intrauterine hematomas.. PubMed. 28(2). 231–3. 30 indexed citations

19.

Jørgensen, K., et al.. (1985). Prunus necrotic ring spot virus (PNRV) identified with ISEM directly from the trees.. 89(1). 81–84. 1 indexed citations

20.

Thomsen, A.. (1955). Trends in brucellosis in Denmark. I. Bovine brucellosis.. PubMed. 2(3). 65–7. 1 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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