Adrian Quan

98 papers receiving 3.5k citations

Hit Papers

Effect of Empagliflozin on Left Ventricular Mass in Patients With Type 2 Diabetes Mellitus and Coronary Artery Disease 2019 · 386 citations
3860+2+4Years since publication100200300

Peers

Adrian Quan
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 891
  • Cardiology and Cardiovascular Medicine 1.2k
  • Cancer Research 480
  • Physiology 570
  • Molecular Biology 1.3k
Replace Shusuke Yagi with:
Shusuke Yagi Japan
Mark Aronovitz United States
Takeshi Soeki Japan
Hideo Izawa Japan
Praveen Chander United States
Ratnadeep Basu Canada
Pierre Paradis Canada
Andrew Advani Canada
Vanesa Esteban Spain
Takao Sugiyama Japan
Adrian Quan relative to Shusuke Yagi Japan Shusuke Yagi's profile →
Citations per field
00.5×1.5×
Shusuke Yagi · 1×
Citations per year

Countries citing papers authored by Adrian Quan

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Quan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Effect of Empagliflozin on Left Ventricular Mass in Patients With Type 2 Diabetes Mellitus and Coronary Artery Disease
Hit paper breakdown →
2019386
2 2008244
3 2010234
4 2012223
5 2010185
6 2011115
7 2015101
8 200998
9 201496
10 200594
11 201293
12 199687
13 200085
14 202084
15 201372
16 200868
17 200865
18 202164
19 201759
20 201354

About Adrian Quan

Adrian Quan is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 102 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (22 papers), Diabetes Treatment and Management (19 papers), Cardiac Valve Diseases and Treatments (11 papers), Pancreatic function and diabetes (9 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers), Cardiac Structural Anomalies and Repair (7 papers), Autophagy in Disease and Therapy (7 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (891 citations), Cardiology and Cardiovascular Medicine (1.2k citations), Cancer Research (480 citations), Physiology (570 citations) and Molecular Biology (1.3k citations). Adrian Quan has collaborated with scholars based in Canada, United States and Saudi Arabia. Frequent co-authors include Hwee Teoh, Subodh Verma, Mohammed Al‐Omran, Fina Lovren, Krishna K. Singh, Yi Pan, Praphulla Chandra Shukla, Milan Gupta, Michael J. Baum and C. David Mazer. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, American Journal of Physiology-Heart and Circulatory Physiology, Molecular and Cellular Biochemistry, Circulation 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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