A. Basse

3.0k total citations
59 papers, 1.9k citations indexed

About

A. Basse is a scholar working on Physiology, Molecular Biology and Epidemiology. According to data from OpenAlex, A. Basse has authored 59 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Physiology, 14 papers in Molecular Biology and 12 papers in Epidemiology. Recurrent topics in A. Basse's work include Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Circadian rhythm and melatonin (7 papers). A. Basse is often cited by papers focused on Adipose Tissue and Metabolism (22 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers) and Circadian rhythm and melatonin (7 papers). A. Basse collaborates with scholars based in Denmark, Sweden and United Kingdom. A. Basse's co-authors include Jacob B. Hansen, Jonas T. Treebak, Juleen R. Zierath, Marie S. Isidor, Jørgen Steen Agerholm, Bjørn Quistorff, Emilie Dalbram, Sally Winther, Esben Pedersen and Cord Brakebusch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

A. Basse

59 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Basse Denmark 25 925 576 319 275 238 59 1.9k
Anna Lyubetskaya United States 18 616 0.7× 705 1.2× 381 1.2× 107 0.4× 389 1.6× 21 1.7k
Junetsu Ogasawara Japan 25 588 0.6× 552 1.0× 295 0.9× 98 0.4× 300 1.3× 60 1.8k
Torgeir Holen Norway 29 1.1k 1.2× 1.8k 3.2× 379 1.2× 376 1.4× 90 0.4× 43 3.1k
Wenwen Zeng China 19 659 0.7× 1.2k 2.1× 508 1.6× 114 0.4× 238 1.0× 51 3.0k
John M. Brameld United Kingdom 28 670 0.7× 825 1.4× 96 0.3× 300 1.1× 232 1.0× 84 2.4k
Marı́a A. Burrell Spain 21 884 1.0× 541 0.9× 737 2.3× 103 0.4× 496 2.1× 54 2.0k
Julien Avérous France 23 482 0.5× 1.2k 2.1× 287 0.9× 728 2.6× 81 0.3× 43 2.0k
Gary J. Hausman United States 27 1.0k 1.1× 694 1.2× 647 2.0× 105 0.4× 471 2.0× 64 2.4k
Charlotte Rehfeldt Germany 21 440 0.5× 443 0.8× 223 0.7× 131 0.5× 69 0.3× 43 1.2k
Aamir Zuberi United States 28 892 1.0× 1.2k 2.1× 443 1.4× 192 0.7× 346 1.5× 61 3.2k

Countries citing papers authored by A. Basse

Since Specialization
Citations

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

Fields of papers citing papers by A. Basse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Basse. A scholar is included among the top collaborators of A. Basse 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. Basse. A. Basse 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.
Basse, A., Iuliia Karavaeva, Lars R. Ingerslev, et al.. (2023). NAMPT-dependent NAD + biosynthesis controls circadian metabolism in a tissue-specific manner. Proceedings of the National Academy of Sciences. 120(14). e2220102120–e2220102120. 15 indexed citations
2.
Damgaard, Mads V., Thomas S. Nielsen, A. Basse, et al.. (2022). Intravenous nicotinamide riboside elevates mouse skeletal muscle NAD+ without impacting respiratory capacity or insulin sensitivity. iScience. 25(2). 103863–103863. 13 indexed citations
3.
Gabriel, Brendan M., Ali Altıntaş, Jonathon A. B. Smith, et al.. (2021). Disrupted circadian oscillations in type 2 diabetes are linked to altered rhythmic mitochondrial metabolism in skeletal muscle. Science Advances. 7(43). eabi9654–eabi9654. 74 indexed citations
4.
Sato, Shogo, A. Basse, Milena Schönke, et al.. (2019). Time of Exercise Specifies the Impact on Muscle Metabolic Pathways and Systemic Energy Homeostasis. Cell Metabolism. 30(1). 92–110.e4. 192 indexed citations
5.
Ma, Tao, Iuliia Karavaeva, Morten Dall, et al.. (2018). NAMPT-mediated NAD biosynthesis is indispensable for adipose tissue plasticity and development of obesity. Molecular Metabolism. 11. 178–188. 63 indexed citations
6.
Basse, A., Marie S. Isidor, Sally Winther, et al.. (2017). Regulation of glycolysis in brown adipocytes by HIF-1α. Scientific Reports. 7(1). 4052–4052. 42 indexed citations
7.
Basse, A., Marie S. Isidor, Lasse K. Markussen, et al.. (2017). MCT1 and MCT4 Expression and Lactate Flux Activity Increase During White and Brown Adipogenesis and Impact Adipocyte Metabolism. Scientific Reports. 7(1). 13101–13101. 74 indexed citations
8.
Basse, A., Karen Dixen, Rachita Yadav, et al.. (2015). Global gene expression profiling of brown to white adipose tissue transformation in sheep reveals novel transcriptional components linked to adipose remodeling. BMC Genomics. 16(1). 215–215. 59 indexed citations
9.
Knudsen, Jakob G., Andrew L. Carey, Rasmus Sjørup Biensø, et al.. (2014). Role of IL-6 in Exercise Training- and Cold-Induced UCP1 Expression in Subcutaneous White Adipose Tissue. PLoS ONE. 9(1). e84910–e84910. 174 indexed citations
10.
Isidor, Marie S., et al.. (2013). Retinoic acid has different effects on UCP1 expression in mouse and human adipocytes. BMC Cell Biology. 14(1). 41–41. 56 indexed citations
11.
Wang, Ziyan, Esben Pedersen, A. Basse, et al.. (2010). Rac1 is crucial for Ras-dependent skin tumor formation by controlling Pak1-Mek-Erk hyperactivation and hyperproliferation in vivo. Oncogene. 29(23). 3362–3373. 94 indexed citations
12.
Sehested, Jakob, et al.. (1997). Feed-Induced Changes in Transport Across the Rumen Epithelium. Comparative Biochemistry and Physiology Part A Physiology. 118(2). 385–386. 12 indexed citations
13.
Leifsson, Páll S., et al.. (1995). Pulmonary intravascular macrophages in the pathogenesis of bovine pulmonary lesions caused by Actinomyces pyogenes. Journal of Comparative Pathology. 112(2). 197–206. 7 indexed citations
14.
Agerholm, Jørgen Steen, Allan M. Lund, B. Bloch, et al.. (1994). Osteogenesis Imperfecta in Holstein‐Friesian Calves. Journal of Veterinary Medicine Series A. 41(1-10). 128–138. 14 indexed citations
15.
Jensen, Henrik Elvang, Bent Aalbæk, A. Basse, & Henrik Carl Schønheyder. (1992). The occurrence of fungi in bovine tissues in relation to portals of entry and environmental factors. Journal of Comparative Pathology. 107(2). 127–140. 18 indexed citations
16.
17.
Jensen, P. Thode, A. Basse, David H. Nielsen, & H. Larsen. (1983). Congenital Ascorbic Acid Deficiency in Pigs. Acta veterinaria Scandinavica. 24(4). 392–402. 12 indexed citations
18.
Knox, B. S., et al.. (1980). Congenital ataxia and tremor with cerebellar hypoplasia in piglets born to sows treated with trichlorphon during pregnancy.. 8(2). 171–177. 1 indexed citations
19.
Andresen, E., et al.. (1974). [Dwarfism in red Danish cattle (bovine achondroplasia: type RDM) (author's transl)].. PubMed. 26(12). 681–91. 2 indexed citations
20.
Andresen, E., et al.. (1970). Evidence of a lethal trait, A 46, in Black Pied Danish cattle of Friesian descent.. 22. 473–485. 15 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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