Mads K. Dalsgaard

27 papers receiving 1.5k citations

Peers

Mads K. Dalsgaard
Comparison fields: 5 of 108
  • Complementary and alternative medicine 379
  • Cardiology and Cardiovascular Medicine 585
  • Orthopedics and Sports Medicine 182
  • Rehabilitation 124
  • Neurology 243
Replace Joel G. Pickar with:
Joel G. Pickar United States
Peter Rasmussen Denmark
Scott L. Davis United States
Soichi Ando Japan
Janice M. Marshall United Kingdom
James A. Pawelczyk United States
Gary A. Iwamoto United States
Andrew W. Subudhi United States
Andrew Levy United Kingdom
Mario Fournier United States
Mads K. Dalsgaard relative to Joel G. Pickar United States Joel G. Pickar's profile →
Citations per field
00.5×2.9×
Joel G. Pickar · 1×
Citations per year

Countries citing papers authored by Mads K. Dalsgaard

Since Specialization
Citations

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

Fields of papers citing papers by Mads K. Dalsgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mads K. Dalsgaard, 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 Mads K. Dalsgaard Line = papers co-authored together Mads K. Dalsgaard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202322
2 202010
3 20195
4 201911
5 20113
6 201136
7 200942
8 200632
9 200648
10 200559
11 2005190
12 200434
13 2004121
14 200455
15 2004232
16 200483
17 200339
18 2003160
19 200297
20 1995114

About Mads K. Dalsgaard

Mads K. Dalsgaard is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine, Psychiatry and Mental health, Clinical Biochemistry and Neurology, having authored 27 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (8 papers), Heart Rate Variability and Autonomic Control (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers), Metabolism and Genetic Disorders (2 papers), Muscle metabolism and nutrition (2 papers), Thermoregulation and physiological responses (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Complementary and alternative medicine (379 citations), Cardiology and Cardiovascular Medicine (585 citations), Orthopedics and Sports Medicine (182 citations), Rehabilitation (124 citations) and Neurology (243 citations). Mads K. Dalsgaard has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Niels H. Secher, Ellen A. Dawson, Chie Yoshiga, Bjørn Quistorff, José González‐Alonso, Stefanos Volianitis, Takuya Osada, Yan Cai, Thomas W. Vogelsang and Else Rubæk Danielsen. Their work appears in journals such as The Journal of Physiology, Acta Anaesthesiologica Scandinavica, Journal of Cerebral Blood Flow & Metabolism, Journal of Applied Physiology and Journal of Child and Adolescent Psychopharmacology.

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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