Akshay Pendyal

15 papers receiving 299 citations

Peers

Akshay Pendyal
Comparison fields: 5 of 70
  • Emergency Medicine 90
  • Developmental Neuroscience 20
  • Cardiology and Cardiovascular Medicine 79
  • Biochemistry 22
  • Pathology and Forensic Medicine 46
Replace Gary Stier with:
Gary Stier United States
François Lenfant France
Mahdi Alamili Denmark
Rohan Shah United States
Updesh Bedi United States
Marc E. Gomes Netherlands
George A Fox Canada
Thomas M. Austin United States
H. Wark Australia
Krutika Amin United States
Akshay Pendyal relative to Gary Stier United States Gary Stier's profile →
Citations per field
00.5×11×
Gary Stier · 1×
Citations per year

Countries citing papers authored by Akshay Pendyal

Since Specialization
Citations

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

Fields of papers citing papers by Akshay Pendyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2009142
2 202350
3 200642
4 202017
5 202013
6 201711
7 20169
8 20229
9 20153
10
The Severe Hypercholesterolemia Phenotype: Genes and Beyond
20152
11 20251
12 20241
13 20081
14 20191
15 20171
16 20200
17 20160
18 20200

About Akshay Pendyal

Akshay Pendyal is a scholar working on Emergency Medicine, Surgery, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Health, having authored 18 papers that have together received 303 indexed citations. Recurring topics across this work include Cardiac Arrest and Resuscitation (4 papers), Cardiac Ischemia and Reperfusion (3 papers), Health disparities and outcomes (3 papers), Cardiac Structural Anomalies and Repair (2 papers), Mechanical Circulatory Support Devices (2 papers), Pharmaceutical Economics and Policy (2 papers), Biomedical Ethics and Regulation (1 paper) and Heart Failure Treatment and Management (1 paper). The work is most often cited by research in Emergency Medicine (90 citations), Developmental Neuroscience (20 citations), Cardiology and Cardiovascular Medicine (79 citations), Biochemistry (22 citations) and Pathology and Forensic Medicine (46 citations). Akshay Pendyal has collaborated with scholars based in United States. Frequent co-authors include Stasia A. Anderson, Mark T. Gladwin, Cameron Dezfulian, Christopher F. Chesley, Sruti Shiva, Terry L. Vanden Hoek, Jeeva Munasinghe, David G. Beiser, Jill M. Gelow and Joel P. Bish. Their work appears in journals such as Circulation, Journal of the American College of Cardiology, JAMA, Journal of the American Heart Association and Heart Failure Clinics.

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.

Explore authors with similar magnitude of impact