Akash Ghai

670 citations
4 papers · 470 · h-index 3

Impact in

    • Cardiac Arrhythmias and Treatments
    • Cardiac pacing and defibrillation studies
    • Cardiac Valve Diseases and Treatments
    • Cardiovascular Function and Risk Factors
  • Epidemiology top 10%
    • Congenital Heart Disease Studies

Papers in

    • Cardiac Structural Anomalies and Repair 2
    • Diagnosis and Treatment of Venous Diseases 1
    • Peripheral Artery Disease Management 1
    • Cardiac Arrhythmias and Treatments 2
    • Cardiomyopathy and Myosin Studies 1
    • Cardiovascular Effects of Exercise 1

Akash Ghai

4 papers receiving 447 citations

Peers

Akash Ghai
Comparison fields: 5 of 28
  • Cardiology and Cardiovascular Medicine 342
  • Epidemiology 392
  • Pulmonary and Respiratory Medicine 171
  • Surgery 197
  • Computational Mathematics 1
Replace Yosuke Hayama with:
Yosuke Hayama Japan
Cheryl Fackoury Canada
Nicole Mirarchi United States
S. Manouguian Germany
Joseph A. Dearani United States
Janneke A.E. Kammeraad Netherlands
Konstantinos Zannis France
Tommaso Fabris Italy
Roberto Bellu Italy
Xianxian Zhao China
Akash Ghai relative to Yosuke Hayama Japan Yosuke Hayama's profile →
Citations per field
00.5×1.5×2.2×
Yosuke Hayama · 1×
Citations per year

Countries citing papers authored by Akash Ghai

Since Specialization
Citations

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

Fields of papers citing papers by Akash Ghai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Akash Ghai, 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 Akash Ghai Line = papers co-authored together Akash Ghai links everyone, so they are left out of the graph.

All Works

About Akash Ghai

Akash Ghai is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Epidemiology, Oncology and Infectious Diseases, having authored 4 papers that have together received 470 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Cardiac Arrhythmias and Treatments (2 papers), Cardiomyopathy and Myosin Studies (1 paper), Cardiovascular Effects of Exercise (1 paper), Diagnosis and Treatment of Venous Diseases (1 paper), Lymphatic System and Diseases (1 paper) and Peripheral Artery Disease Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (342 citations), Epidemiology (392 citations), Pulmonary and Respiratory Medicine (171 citations), Surgery (197 citations) and Computational Mathematics (1 citation). Akash Ghai has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Louise Harris, Samuel C. Siu, Gary D. Webb, Judith Therrien, Candice K. Silversides, David A Harrison, Thomas Noel, Kazuki Hotta, Bradley J. Behnke and Wayne Batchelor. Their work appears in journals such as Journal of the American College of Cardiology, Journal of Nuclear Cardiology and Cardiovascular revascularization medicine.

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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