Mads V. Damgaard

13 total papers · 786 total citations
8 papers, 505 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 505 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, Benjamin A. H. Jensen, Karsten Kristiansen, Torben Jørgensen, Tine Rask Licht, Torben Hansen, Allan Linneberg, Trine Nielsen, Fredrik Bäckhed and Henrik Vestergaard and has published in prestigious journals such as Science Advances, Diabetologia and Nutrients.

In The Last Decade

Mads V. Damgaard

8 papers receiving 498 citations

Hit Papers

Aberrant intestinal micro... 2018 2026 2020 2023 2018 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Mads V. Damgaard 355 220 70 54 49 8 505
Ines Warnke 210 0.6× 250 1.1× 27 0.4× 53 1.0× 78 1.6× 12 587
Sarah A. Pötgens 306 0.9× 225 1.0× 51 0.7× 14 0.3× 44 0.9× 11 447
Chiara Gasperini 159 0.4× 249 1.1× 28 0.4× 31 0.6× 63 1.3× 10 554
Gabriele Pulcini 329 0.9× 239 1.1× 46 0.7× 14 0.3× 36 0.7× 13 557
Ria Singh 390 1.1× 233 1.1× 95 1.4× 13 0.2× 35 0.7× 3 570
Prital Patel 242 0.7× 231 1.1× 76 1.1× 10 0.2× 153 3.1× 12 602
Andrezza Fernanda Santiago 122 0.3× 187 0.8× 23 0.3× 34 0.6× 82 1.7× 18 543
Angela Lehn‐Stefan 256 0.7× 214 1.0× 13 0.2× 35 0.6× 110 2.2× 19 598
Wanping Aw 309 0.9× 132 0.6× 42 0.6× 8 0.1× 59 1.2× 23 553
Igor de Oliveira Santos 227 0.6× 108 0.5× 103 1.5× 15 0.3× 100 2.0× 9 528

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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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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