Alexander S. Hauser

7.4k total citations · 5 hit papers
49 papers, 4.5k citations indexed

About

Alexander S. Hauser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Alexander S. Hauser has authored 49 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 8 papers in Surgery. Recurrent topics in Alexander S. Hauser's work include Receptor Mechanisms and Signaling (37 papers), Neuropeptides and Animal Physiology (19 papers) and Computational Drug Discovery Methods (8 papers). Alexander S. Hauser is often cited by papers focused on Receptor Mechanisms and Signaling (37 papers), Neuropeptides and Animal Physiology (19 papers) and Computational Drug Discovery Methods (8 papers). Alexander S. Hauser collaborates with scholars based in Denmark, United States and United Kingdom. Alexander S. Hauser's co-authors include David E. Gloriam, Helgi B. Schiöth, Mathias Rask‐Andersen, Misty M. Attwood, Christian Munk, Kasper Harpsøe, Stefan Mordalski, Andrzej J. Bojarski, Vignir Ísberg and M. Madan Babu and has published in prestigious journals such as Nature, Cell and Nucleic Acids Research.

In The Last Decade

Alexander S. Hauser

47 papers receiving 4.5k citations

Hit Papers

Trends in GPCR drug discovery: new agents, targets and in... 2017 2026 2020 2023 2017 2017 2017 2022 2025 500 1000 1.5k

Peers

Alexander S. Hauser
Ka Young Chung South Korea
Xavier Deupí Switzerland
Brian T. DeVree United States
Daniel H. Arlow United States
Laura H. Heitman Netherlands
Naomi R. Latorraca United States
Alexander S. Hauser
Citations per year, relative to Alexander S. Hauser Alexander S. Hauser (= 1×) peers Jesper Mosolff Mathiesen

Countries citing papers authored by Alexander S. Hauser

Since Specialization
Citations

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

Fields of papers citing papers by Alexander S. Hauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander S. Hauser. 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 Alexander S. Hauser. The network helps show where Alexander S. Hauser may publish in the future.

Co-authorship network of co-authors of Alexander S. Hauser

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander S. Hauser. A scholar is included among the top collaborators of Alexander S. Hauser 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 Alexander S. Hauser. Alexander S. Hauser 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.
Larsen, Andreas Haahr, Mathias Perslev, Carmen Klein Herenbrink, et al.. (2025). Membrane curvature association of amphipathic helix 8 drives constitutive endocytosis of GPCRs. Science Advances. 11(33). eadv1499–eadv1499.
2.
Thompson, Miles D., Peter Chidiac, Pedro A. José, Alexander S. Hauser, & Caroline M. Gorvin. (2025). Genetic variants of accessory proteins and G proteins in human genetic disease. Critical Reviews in Clinical Laboratory Sciences. 62(2). 113–134. 1 indexed citations
3.
Usher, Samuel, Estelle Toulmé, Stanislau Yatskevich, et al.. (2025). The sodium leak channel NALCN is regulated by neuronal SNARE complex proteins. Science Advances. 11(11). eads6004–eads6004.
4.
Weis, Cleo‐Aron, Janne Pia Thirstrup, Henrik Kjærulf Jensen, et al.. (2025). Pharmacogenomic markers associated with drug-induced QT prolongation: a systematic review. Pharmacogenomics. 26(1-2). 53–72. 1 indexed citations
5.
Lorente, José A., et al.. (2025). GPCR drug discovery: new agents, targets and indications. Nature Reviews Drug Discovery. 24(6). 458–479. 31 indexed citations breakdown →
6.
Gruber, Christian W., Isabel Beets, Pierre‐Luc Boudreault, et al.. (2025). Biodiversity2Drugs—Renaissance of exploring nature‐derived peptides for GPCR ligand discovery. British Journal of Pharmacology. 182(16). 3691–3694. 1 indexed citations
7.
Thompson, Miles D., Maire E. Percy, David E.C. Cole, et al.. (2024). G protein-coupled receptor (GPCR) gene variants and human genetic disease. Critical Reviews in Clinical Laboratory Sciences. 61(5). 317–346. 10 indexed citations
8.
Wright, Shane C., Christian M. Beusch, Pierre Sabatier, et al.. (2023). GLP-1R signaling neighborhoods associate with the susceptibility to adverse drug reactions of incretin mimetics. Nature Communications. 14(1). 6243–6243. 23 indexed citations
9.
Caroli, Jimmy, Kasper Harpsøe, Eshan Ghosh, et al.. (2023). A community Biased Signaling Atlas. Nature Chemical Biology. 19(5). 531–535. 20 indexed citations
10.
Bork‐Jensen, Jette, Lærke S. Gasbjerg, Alexander S. Hauser, et al.. (2023). Rare Heterozygous Loss-of-Function Variants in the Human GLP-1 Receptor Are Not Associated With Cardiometabolic Phenotypes. The Journal of Clinical Endocrinology & Metabolism. 108(11). 2821–2833. 8 indexed citations
11.
Rohde, Christopher, Mikkel Højlund, Christiane Gasse, et al.. (2022). Psychopharmacological treatment patterns prior to a schizophrenia diagnosis: A Danish nationwide study. Schizophrenia Research. 246. 268–276. 2 indexed citations
12.
Avet, Charlotte, Arturo Mancini, Billy Breton, et al.. (2022). Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRs. eLife. 11. 145 indexed citations breakdown →
13.
Moo, Ee Von, Kasper Harpsøe, Alexander S. Hauser, et al.. (2021). Ligand-directed bias of G protein signaling at the dopamine D2 receptor. Cell chemical biology. 29(2). 226–238.e4. 22 indexed citations
14.
Velden, Wijnand J. C. van der, Peter Lindquist, Nicolai J. Wewer Albrechtsen, et al.. (2021). Molecular and in vivo phenotyping of missense variants of the human glucagon receptor. Journal of Biological Chemistry. 298(2). 101413–101413. 16 indexed citations
15.
Foster, Simon R., Alexander S. Hauser, Line Vedel, et al.. (2019). Discovery of Human Signaling Systems: Pairing Peptides to G Protein-Coupled Receptors. Cell. 179(4). 895–908.e21. 176 indexed citations
16.
Boesgaard, Michael W., Alexander S. Hauser, Vignir Ísberg, et al.. (2017). Identification of Histamine H3 Receptor Ligands Using a New Crystal Structure Fragment-based Method. Scientific Reports. 7(1). 4829–4829. 8 indexed citations
17.
Flock, Tilman, et al.. (2017). Selectivity determinants of GPCR–G-protein binding. Nature. 545(7654). 317–322. 278 indexed citations
18.
Munk, Christian, Vignir Ísberg, Stefan Mordalski, et al.. (2016). GPCRdb: the G protein‐coupled receptor database – an introduction. British Journal of Pharmacology. 173(14). 2195–2207. 151 indexed citations
19.
Hauser, Alexander S., Vignir Ísberg, Jacek Mokrosiński, et al.. (2016). The orphan G protein-coupled receptor GPR139 is activated by the peptides: Adrenocorticotropic hormone (ACTH), α-, and β-melanocyte stimulating hormone (α-MSH, and β-MSH), and the conserved core motif HFRW. Neurochemistry International. 102. 105–113. 35 indexed citations
20.
Ísberg, Vignir, Stefan Mordalski, Christian Munk, et al.. (2015). GPCRdb: an information system for G protein-coupled receptors. Nucleic Acids Research. 44(D1). D356–D364. 365 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026