Mads V. Damgaard

808 total citations · 1 hit paper
8 papers, 512 citations indexed

About

Mads V. Damgaard is a scholar working on Molecular Biology, Physiology and Geriatrics and Gerontology. According to data from OpenAlex, Mads V. Damgaard has authored 8 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Mads V. Damgaard's work include Sirtuins and Resveratrol in Medicine (3 papers), Gut microbiota and health (3 papers) and Mitochondrial Function and Pathology (2 papers). Mads V. Damgaard is often cited by papers focused on Sirtuins and Resveratrol in Medicine (3 papers), Gut microbiota and health (3 papers) and Mitochondrial Function and Pathology (2 papers). Mads V. Damgaard collaborates with scholars based in Denmark, United States and Germany. Mads V. Damgaard's co-authors include Jonas T. Treebak, Karsten Kristiansen, Benjamin A. H. Jensen, Martin Iain Bahl, Thomas Meinertz Dantoft, Fredrik Bäckhed, Tine Rask Licht, Oluf Pedersen, Paul W. Franks and Torben Hansen and has published in prestigious journals such as Science Advances, Diabetologia and Nutrients.

In The Last Decade

Mads V. Damgaard

8 papers receiving 505 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.

Aberrant intestinal microbiota in individuals with prediabetes

2018 339 citations Kristine H. Allin, Valentina Tremaroli et al. Diabetologia profile →

Peers

Mads V. Damgaard

MB

PHYSI

ID

GG

EDM

Angelika Pointner Austria

Xuefang Yan China

Ria Singh United States

Rabina Mainali United States

Chang-Eun Park South Korea

Marta P. Silvestre New Zealand

Andrezza Fernanda Santiago Brazil

Noélie Bossut France

Yuanli Chen China

Mingqun Deng China

Angelika Pointner Austria

Mads V. Damgaard

406 ×1.1

MB

226 ×1.0

PHYSI

97 ×1.4

ID

24 ×0.4

GG

51 ×1.0

EDM

Citations per year, relative to Mads V. Damgaard Mads V. Damgaard (= 1×) peers Angelika Pointner

Countries citing papers authored by Mads V. Damgaard

Since Specialization

Citations

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

Fields of papers citing papers by Mads V. Damgaard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mads V. Damgaard. 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 Mads V. Damgaard. The network helps show where Mads V. Damgaard may publish in the future.

Co-authorship network of co-authors of Mads V. Damgaard

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

All Works

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8 of 8 papers shown

1.

Damgaard, Mads V. & Jonas T. Treebak. (2023). What is really known about the effects of nicotinamide riboside supplementation in humans. Science Advances. 9(29). eadi4862–eadi4862. 49 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.

Damgaard, Mads V. & Jonas T. Treebak. (2022). Protocol for qPCR analysis that corrects for cDNA amplification efficiency. STAR Protocols. 3(3). 101515–101515. 22 indexed citations

4.

Jensen, Jonas, Ole L. Dollerup, Andreas Buch Møller, et al.. (2022). A randomized placebo-controlled trial of nicotinamide riboside and pterostilbene supplementation in experimental muscle injury in elderly individuals. JCI Insight. 7(19). 23 indexed citations

5.

Peluso, A. Augusto, Mads V. Damgaard, Marcelo A. Mori, & Jonas T. Treebak. (2021). Age-Dependent Decline of NAD+—Universal Truth or Confounded Consensus?. Nutrients. 14(1). 101–101. 33 indexed citations

6.

Fritzen, Andreas M., Christian S. Carl, Marianne Agerholm, et al.. (2019). Human Paneth cell α-defensin-5 treatment reverses dyslipidemia and improves glucoregulatory capacity in diet-induced obese mice. American Journal of Physiology-Endocrinology and Metabolism. 317(1). E42–E52. 25 indexed citations

7.

Allin, Kristine H., Valentina Tremaroli, Robert Caesar, et al.. (2018). Aberrant intestinal microbiota in individuals with prediabetes. Diabetologia. 61(4). 810–820. 339 indexed citations breakdown →

8.

Damgaard, Mads V., Marianne Agerholm, Joseph N. Paulson, et al.. (2017). Age-dependent alterations of glucose clearance and homeostasis are temporally separated and modulated by dietary fat. The Journal of Nutritional Biochemistry. 54. 66–76. 8 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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