Ellen Aasum

3.4k citations
55 papers · 2.7k · h-index 31

Impact in

Papers in

Ellen Aasum

55 papers receiving 2.7k citations

Peers

Ellen Aasum
Comparison fields: 5 of 101
  • Cardiology and Cardiovascular Medicine 1.6k
  • Physiology 827
  • Complementary and alternative medicine 210
  • Pathology and Forensic Medicine 309
  • Molecular Biology 1.2k
Replace Xiangru Lu with:
Xiangru Lu Canada
Christian Riehle United States
Michael F. Allard Canada
Will A. Coumans Netherlands
Cory S. Wagg Canada
Gorka San José Spain
Leonard G. Meggs United States
Masaki Ikeuchi Japan
María U. Moreno Spain
Masaki Harada Japan
Ellen Aasum relative to Xiangru Lu Canada Xiangru Lu's profile →
Citations per field
00.5×3.4×
Xiangru Lu · 1×
Citations per year

Countries citing papers authored by Ellen Aasum

Since Specialization
Citations

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

Fields of papers citing papers by Ellen Aasum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009335
2 2003235
3 2006189
4 2009165
5 2002132
6 200090
7 201389
8 200584
9 200483
10 201182
11 201764
12 200761
13 201658
14 200954
15 201552
16 200552
17 200750
18 200750
19 200649
20 201746

About Ellen Aasum

Ellen Aasum is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Molecular Biology, Physiology and Complementary and alternative medicine, having authored 55 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (38 papers), Cardiac electrophysiology and arrhythmias (17 papers), Cardiac Ischemia and Reperfusion (17 papers), Adipose Tissue and Metabolism (9 papers), Cardiovascular and exercise physiology (8 papers), Cardiovascular Effects of Exercise (7 papers), Peroxisome Proliferator-Activated Receptors (7 papers) and Cardiac Arrest and Resuscitation (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Physiology (827 citations), Complementary and alternative medicine (210 citations), Pathology and Forensic Medicine (309 citations) and Molecular Biology (1.2k citations). Ellen Aasum has collaborated with scholars based in Norway, United Kingdom and Canada. Frequent co-authors include Terje S. Larsen, Anne D. Hafstad, David L. Severson, Ole-Jakob How, Neoma T. Boardman, Ahmed M. Khalid, Jim Lund, M. Faadiel Essop, Wood Yee Chan and Thierry Pedrazzini. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, Journal of Molecular and Cellular Cardiology, Diabetes, American Journal of Physiology-Endocrinology and Metabolism and Cardiovascular Research.

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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