Mikael Thinggaard

49 papers receiving 1.7k citations

Peers

Mikael Thinggaard
Comparison fields: 5 of 123
  • Aging 199
  • Neuropsychology and Physiological Psychology 61
  • Geriatrics and Gerontology 113
  • Physiology 449
  • Health 117
Replace Alberto Montesanto with:
Alberto Montesanto Italy
Qimei He United States
Randi Chen United States
Stacy L. Andersen United States
Brian H. Chen United States
Maarten Pieter Rozing Denmark
Sofiya Milman United States
Irina Culminskaya United States
Alexander M. Kulminski United States
A. Bootsma–van der Wiel Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Mikael Thinggaard

Since Specialization
Citations

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

Fields of papers citing papers by Mikael Thinggaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mikael Thinggaard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mikael Thinggaard Line = papers co-authored together Mikael Thinggaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014276
2 2013276
3 2009140
4 201189
5 201078
6 201268
7 201366
8 201261
9 201960
10 201851
11 201650
12 202134
13 201730
14 201128
15 201325
16 200923
17 201722
18 202122
19 201420
20 201419

About Mikael Thinggaard

Mikael Thinggaard is a scholar working on Physiology, Genetics, Aging, Molecular Biology and Epidemiology, having authored 50 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Nutrition and Health in Aging (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Health disparities and outcomes (3 papers), Birth, Development, and Health (3 papers), Diet and metabolism studies (2 papers), Obesity, Physical Activity, Diet (2 papers) and Aging and Gerontology Research (2 papers). The work is most often cited by research in Aging (199 citations), Neuropsychology and Physiological Psychology (61 citations), Geriatrics and Gerontology (113 citations), Physiology (449 citations) and Health (117 citations). Mikael Thinggaard has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Kaare Christensen, James W. Vaupel, Lene Christiansen, Matt McGue, Bernard Jeune, Jonas Mengel‐From, Kirsten Ohm Kyvik, Karen Andersen‐Ranberg, Christine Dalgård and Anna Oksuzyan. Their work appears in journals such as The Journals of Gerontology Series A, International Journal of Epidemiology, Experimental Gerontology, PLoS ONE and Journal of the American Geriatrics Society.

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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