Sandeep Aggarwal

2.2k citations
66 papers · 1.5k indexed · h-index 19

Sandeep Aggarwal

62 papers receiving 1.4k citations

Peers

Sandeep Aggarwal
Comparison fields: 5 of 95
  • Cardiology and Cardiovascular Medicine 1.2k
  • Complementary and alternative medicine 316
  • Rehabilitation 170
  • Radiology, Nuclear Medicine and Imaging 133
  • Geriatrics and Gerontology 19
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Citations per year

Countries citing papers authored by Sandeep Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by Sandeep Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20223
3 202216
4 20222
5 20211
6 20201
7 202029
8
Left Renal Vein Obstruction
20191
9
Salicylic Acid (Aspirin)
20197
10 201912
11 20194
12 201712
13
Abstract 18122: Cardiac Rehabilitation in Subjects With Peripheral Arterial Disease: A Higher Risk Patient Population Who Benefit From Attendance
20161
14 201616
15 201617
16 20158
17
Abstract 18219: Lack of Impact of Automated Referral on Attendance at Cardiac Rehabilitation Among Coronary Artery Bypass Grafting Patients
20122
18 201216
19 200938
20 2007231

About Sandeep Aggarwal

Sandeep Aggarwal is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Rehabilitation, having authored 66 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiac Health and Mental Health (39 papers), Cardiovascular and exercise physiology (14 papers), Heart Rate Variability and Autonomic Control (11 papers), Cardiovascular Function and Risk Factors (9 papers), Heart Failure Treatment and Management (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Acute Myocardial Infarction Research (6 papers) and Cardiac pacing and defibrillation studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.2k citations), Complementary and alternative medicine (316 citations) and Rehabilitation (170 citations). Sandeep Aggarwal has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Ross Arena, James A. Stone, Trina Hauer, Billie‐Jean Martin, Leslie D. Austford, Merril L. Knudtson, Mark J. Haykowsky, Derek V. Exner, Codie R. Rouleau and William A. Ghali. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Medicine & Science in Sports & Exercise.

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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