M. Hauge

3.7k total citations · 1 hit paper
53 papers, 2.6k citations indexed

About

M. Hauge is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, M. Hauge has authored 53 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 10 papers in Surgery. Recurrent topics in M. Hauge's work include Receptor Mechanisms and Signaling (11 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (5 papers). M. Hauge is often cited by papers focused on Receptor Mechanisms and Signaling (11 papers), Diabetes and associated disorders (5 papers) and Pancreatic function and diabetes (5 papers). M. Hauge collaborates with scholars based in Denmark, United States and United Kingdom. M. Hauge's co-authors include B Harvald, Aksel Bertelsen, Thue W. Schwartz, Maja S. Engelstoft, Anna Sofie Husted, Robert M. Jones, Kristoffer L. Egerod, Margit Bistrup Fischer, Arne Svejgaard and Kaare V. Grunddal and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

M. Hauge

51 papers receiving 2.4k 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 M. Hauge, Kristoffer L. Egerod et al. Endocrinology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Hauge Denmark 20 1.0k 625 536 509 370 53 2.6k
Donald A. Young United States 27 1.5k 1.4× 667 1.1× 334 0.6× 689 1.4× 225 0.6× 74 3.9k
Dieter Rosskopf Germany 38 1.6k 1.5× 506 0.8× 1.1k 2.1× 433 0.9× 592 1.6× 87 4.5k
Louisa Laue United States 25 1.0k 1.0× 563 0.9× 765 1.4× 209 0.4× 145 0.4× 36 2.7k
Rita M. Cantor United States 31 868 0.8× 639 1.0× 310 0.6× 430 0.8× 276 0.7× 66 2.7k
Mark R. Davis Australia 32 1.8k 1.7× 663 1.1× 403 0.8× 411 0.8× 286 0.8× 119 4.8k
Kaisa Silander Finland 34 1.0k 1.0× 986 1.6× 374 0.7× 274 0.5× 425 1.1× 70 3.1k
Ravindranath Duggirala United States 36 1.2k 1.2× 1.4k 2.2× 512 1.0× 500 1.0× 529 1.4× 116 4.4k
John I. Numberger United States 4 656 0.6× 481 0.8× 189 0.4× 181 0.4× 193 0.5× 5 2.2k
Heinrich M. Schulte Germany 36 841 0.8× 601 1.0× 2.2k 4.1× 262 0.5× 334 0.9× 75 4.5k
Paolo Lissoni Italy 40 1.0k 1.0× 358 0.6× 333 0.6× 312 0.6× 963 2.6× 289 5.7k

Countries citing papers authored by M. Hauge

Since Specialization
Citations

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

Fields of papers citing papers by M. Hauge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Hauge

This figure shows the co-authorship network connecting the top 25 collaborators of M. Hauge. A scholar is included among the top collaborators of M. Hauge 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 M. Hauge. M. Hauge 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.
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
2.
Hauge, M., Daniel J. Scott, Meritxell Canals, et al.. (2022). OZITX, a pertussis toxin-like protein for occluding inhibitory G protein signalling including Gαz. Communications Biology. 5(1). 256–256. 11 indexed citations
3.
Hauge, M., Jennifer Pham, Helena Mancebo, et al.. (2021). A novel luminescence-based β-arrestin recruitment assay for unmodified receptors. Journal of Biological Chemistry. 296. 100503–100503. 17 indexed citations
4.
Perry, Nicole A., Wesley B. Asher, M. Hauge, & Jonathan A. Javitch. (2021). Assays for detecting arrestin interaction with GPCRs. Methods in cell biology. 166. 43–65. 4 indexed citations
5.
Ekberg, Jeppe H., M. Hauge, Andreas Nygaard Madsen, et al.. (2016). GPR119, a Major Enteroendocrine Sensor of Dietary Triglyceride Metabolites Coacting in Synergy With FFA1 (GPR40). Endocrinology. 157(12). 4561–4569. 88 indexed citations
6.
Hauge, M., Jeppe H. Ekberg, Maja S. Engelstoft, et al.. (2016). Gq and Gs signaling acting in synergy to control GLP-1 secretion. Molecular and Cellular Endocrinology. 449. 64–73. 51 indexed citations
7.
Larsen, Olav, M. Hauge, Robert M. Jones, et al.. (2016). Biased signaling of lipids and allosteric actions of synthetic molecules for GPR119. Biochemical Pharmacology. 119. 66–75. 45 indexed citations
8.
Hauge, M., M. A. Vestmar, Anna Sofie Husted, et al.. (2014). GPR40 (FFAR1) – Combined Gs and Gq signaling in vitro is associated with robust incretin secretagogue action ex vivo and in vivo. Molecular Metabolism. 4(1). 3–14. 179 indexed citations
9.
Dencker, S. J., et al.. (2008). AN INVESTIGATION OF THE PTC TASTE CHARACTER IN MONOCHORIONIC TWIN PAIRS. PubMed. 9. 236–244. 1 indexed citations
10.
Cohn, Jerome E., et al.. (1975). Amylo-l,6-Glucosidase Deficiency (glycogenosis Type III) in the Faroe Islands. Human Heredity. 25(2). 115–126. 1 indexed citations
11.
Höglund, Christer, et al.. (1970). Studies on the Haptoglobin System. Human Heredity. 20(5). 549–556. 7 indexed citations
12.
Hauge, M., et al.. (1970). Finger Print Patterns in an Unselected Series of Triplets. Human Heredity. 20(3). 336–355. 7 indexed citations
13.
Hauge, M., et al.. (1969). Genetics of Varicose Veins of the Lower Extremities. Human Heredity. 19(5). 573–580. 18 indexed citations
14.
Hauge, M., et al.. (1968). Some Anthropological Traits in an Unselected Series of Triplets. Human Heredity. 18(5). 496–510. 4 indexed citations
15.
Hauge, M., et al.. (1967). The Distribution of Blood Groups in a Series of Triplets. Human Heredity. 17(3). 260–274. 6 indexed citations
16.
Hauge, M., et al.. (1967). Determination of Triplet Zygosity. Human Heredity. 17(1). 81–95. 11 indexed citations
17.
Hauge, M., et al.. (1958). ON THE INHERITANCE OF THE Gm SERUM GROUP. Human Heredity. 8(2). 164–196. 54 indexed citations
18.
Hauge, M. & B Harvald. (1957). GENETICS IN INTRACRANIAL TUMOURS. Human Heredity. 7(3). 573–591. 18 indexed citations
19.
Hauge, M., et al.. (1954). Libri. Human Heredity. 5(3). 282–282. 1 indexed citations
20.

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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