Keith Dadson

647 citations
22 papers · 455 · h-index 13

Impact in

    • Cardiac Fibrosis and Remodeling
    • Cardiovascular Function and Risk Factors
    • Cardiovascular Disease and Adiposity
    • Adipokines, Inflammation, and Metabolic Diseases
    • Autophagy in Disease and Therapy

Papers in

Keith Dadson

22 papers receiving 448 citations

Peers

Keith Dadson
Comparison fields: 5 of 67
  • Cardiology and Cardiovascular Medicine 158
  • Epidemiology 152
  • Endocrine and Autonomic Systems 31
  • Physiology 112
  • Molecular Biology 171
Replace Kristin Schram with:
Kristin Schram Canada
Alexis Cutchins United States
Iurii Stafeev Russia
Ada Koo Australia
Pujika Emani Munasinghe New Zealand
Hidetoshi Okazaki Japan
Guangxian Zhao China
Huili Lin China
Kelvin H. M. Kwok Hong Kong
Qibin Jiao Japan
Keith Dadson relative to Kristin Schram Canada Kristin Schram's profile →
Citations per field
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Kristin Schram · 1×
Citations per year

Countries citing papers authored by Keith Dadson

Since Specialization
Citations

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

Fields of papers citing papers by Keith Dadson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201745
3 201343
4 202040
5 201531
6 201527
7 201926
8 201725
9 200921
10 201719
11 201517
12 201617
13 202212
14 202011
15 202111
16 202410
17 20247
18 20107
19 20196
20 20152

About Keith Dadson

Keith Dadson is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Physiology and Oncology, having authored 22 papers that have together received 455 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (10 papers), Cardiac Fibrosis and Remodeling (6 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Adipose Tissue and Metabolism (3 papers), Protease and Inhibitor Mechanisms (2 papers), Peptidase Inhibition and Analysis (2 papers), Signaling Pathways in Disease (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (158 citations), Epidemiology (152 citations), Endocrine and Autonomic Systems (31 citations), Physiology (112 citations) and Molecular Biology (171 citations). Keith Dadson has collaborated with scholars based in Canada, South Korea and United States. Frequent co-authors include Gary Sweeney, Filio Billia, Ying Liu, Ludger Hauck, Subat Turdi, Daniela Grothe, Rungsunn Tungtrongchitr, Aimin Xu, Helen Chasiotis and Ren‐Ke Li. Their work appears in journals such as Clinical Science, Scientific Reports, Journal of Molecular and Cellular Cardiology, Cell Death and Differentiation and Frontiers in Endocrinology.

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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