Keith Dadson

651 citations
23 papers · 504 · h-index 13

Impact in

    • Cardiac Fibrosis and Remodeling
    • Chemotherapy-induced cardiotoxicity and mitigation
    • Cardiomyopathy and Myosin Studies
    • Cardiovascular Disease and Adiposity
    • Adipokines, Inflammation, and Metabolic Diseases
    • Autophagy in Disease and Therapy

Papers in

Keith Dadson

23 papers receiving 493 citations

Peers

Keith Dadson
Comparison fields: 5 of 58
  • Cardiology and Cardiovascular Medicine 176
  • Epidemiology 116
  • Molecular Biology 149
  • Cancer Research 31
  • Endocrine and Autonomic Systems 7
Replace Marisa Sepúlveda with:
Marisa Sepúlveda United States
Congxin Huang China
Antonella Marucci Italy
Jinyu Chi China
Kerstin Hartmann Germany
I‐Fen Cheng Germany
Hrag Esfahani Belgium
Tomonari Akatsu Japan
Aditi Upadhye United States
Kambeez Berenji United States
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Citations per field
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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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201176
2 201749
3 201342
4 202042
5 201531
6 202029
7 201527
8 201726
9 201926
10 201723
11 200921
12 201517
13 201617
14 202213
15 202012
16 202112
17 202412
18 20249
19 20107
20 20197

About Keith Dadson

Keith Dadson is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Physiology, Cancer Research and Molecular Biology, having authored 23 papers that have together received 504 indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (4 papers), Adipose Tissue and Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers), Ubiquitin and proteasome pathways (1 paper), Protein Tyrosine Phosphatases (1 paper) and Cardiac Ischemia and Reperfusion (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (176 citations), Epidemiology (116 citations), Molecular Biology (149 citations), Cancer Research (31 citations) and Endocrine and Autonomic Systems (7 citations). Keith Dadson has collaborated with scholars based in Canada, South Korea and Thailand. Frequent co-authors include Gary Sweeney, Filio Billia, Ying Liu, Ludger Hauck, Subat Turdi, Daniela Grothe, Aimin Xu, Rungsunn Tungtrongchitr, Helen Chasiotis and Ren‐Ke Li. Their work appears in journals such as Clinical Science, Scientific Reports, International Journal of Cardiology, American Journal of Physiology-Endocrinology and Metabolism and Canadian Journal of Cardiology.

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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