Nirav Dalal

1.1k citations
20 papers · 721 indexed · h-index 13

Impact in

Papers in

Nirav Dalal

20 papers receiving 712 citations

Peers

Nirav Dalal
Comparison fields: 5 of 59
  • Cardiology and Cardiovascular Medicine 562
  • Anesthesiology and Pain Medicine 98
  • Pharmacology 87
  • Complementary and alternative medicine 27
  • Neurology 26
Replace Matheen Khuddus with:
Matheen Khuddus United States
Takashige Yamada Japan
Dmitriy Viderman Kazakhstan
Hiroshi Hinohara Japan
Enrico Monaca Germany
Juergen Kammler Austria
Milan Adamus Czechia
Massimiliano Maines Italy
Richard B. Whiting United States
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Citations per field
00.5×7.4×
Matheen Khuddus · 1×
Citations per year

Countries citing papers authored by Nirav Dalal

Since Specialization
Citations

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

Fields of papers citing papers by Nirav Dalal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20213
2 202123
3 20206
4
Association of Ambulatory Hemodynamic Monitoring With Clinical Outcomes in a Concurrent Matched Control Analysis.
20192
5 201946
6 20192
7 2017115
8 201716
9 201774
10 201731
11 201642
12 201632
13 201636
14 201612
15 201628
16 201664
17 201637
18 2015146
19 20155
20 20111

About Nirav Dalal

Nirav Dalal is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine, Pharmacology, Complementary and alternative medicine and Biomedical Engineering, having authored 20 papers that have together received 721 indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (9 papers), Cardiac Arrhythmias and Treatments (7 papers), Heart Failure Treatment and Management (6 papers), Atrial Fibrillation Management and Outcomes (3 papers), Musculoskeletal pain and rehabilitation (3 papers), Congenital Heart Disease Studies (2 papers), Pain Management and Treatment (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (562 citations), Anesthesiology and Pain Medicine (98 citations), Pharmacology (87 citations), Complementary and alternative medicine (27 citations) and Neurology (26 citations). Nirav Dalal has collaborated with scholars based in United States, Sweden and China. Frequent co-authors include Suneet Mittal, Niraj Varma, Jonathan P. Piccini, Avi Fischer, Rupinder Bharmi, Philip B. Adamson, Julie B. Prillinger, Edward Karst, Akshay S. Desai and Ashwini Sharan. Their work appears in journals such as Heart Rhythm, Journal of Interventional Cardiac Electrophysiology, Journal of Cardiac Failure, JAMA Cardiology and Journal of the American College 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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