Ian Dixon

8.8k citations
106 papers · 4.7k indexed · 1 hit paper · h-index 40

Impact in

Papers in

Ian Dixon

105 papers receiving 4.6k citations

Hit Papers

First‐in‐human clinical trial of allogeneic, platelet‐derived extracellular vesicles as a potential therapeutic for delayed wound healing 2023 · 111 citations
1112023202620242025255075100

Peers

Ian Dixon
Comparison fields: 5 of 137
  • Cardiology and Cardiovascular Medicine 2.3k
  • Cancer Research 457
  • Molecular Biology 2.1k
  • Pathology and Forensic Medicine 423
  • Immunology and Allergy 137
Replace Geir Christensen with:
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Yao Sun United States
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Ian Dixon relative to Geir Christensen Norway Geir Christensen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ian Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Ian Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202012
3 201947
4 201838
5 201792
6 201515
7 201339
8 201051
9 20105
10 200760
11 200660
12 2005175
13 200417
14 199944
15 199755
16 199696
17 199329
18 1993122
19 199217
20 199079

About Ian Dixon

Ian Dixon is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Pathology and Forensic Medicine and Cancer Research, having authored 106 papers that have together received 4.7k indexed citations. Recurring topics across this work include Cardiac Fibrosis and Remodeling (48 papers), Peptidase Inhibition and Analysis (16 papers), Cardiovascular Function and Risk Factors (15 papers), Cardiac electrophysiology and arrhythmias (14 papers), Signaling Pathways in Disease (14 papers), Cardiac Ischemia and Reperfusion (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Cardiac Structural Anomalies and Repair (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.3k citations), Cancer Research (457 citations), Molecular Biology (2.1k citations), Pathology and Forensic Medicine (423 citations) and Immunology and Allergy (137 citations). Ian Dixon has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Naranjan S. Dhalla, Haisong Ju, Darren H. Freed, Sunil G. Rattan, Jianming Hao, Stephen C. Jones, Natalie M. Landry, Saeid Ghavami, Ryan H. Cunnington and Baiqiu Wang. Their work appears in journals such as Molecular and Cellular Biochemistry, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Molecular and Cellular Cardiology, Cardiovascular Research and The Annals of Thoracic Surgery.

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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