Dawood Darbar

37.5k citations
171 papers · 6.7k indexed · 1 hit paper · h-index 44

Dawood Darbar

166 papers receiving 6.6k citations

Hit Papers

2012 ACCF/AHA/HRS Focused Update Incorporated Into the AC...4812012202620162021100200300400

Peers

Dawood Darbar
Comparison fields: 5 of 125
  • Cardiology and Cardiovascular Medicine 5.7k
  • Internal Medicine 133
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 310
  • Surgery 679
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Kengo Kusano Japan
Katsusuke Yano Japan
Michel White Canada
Claude R. Benedict United States
Chu‐Pak Lau Hong Kong
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Hitonobu Tomoike Japan
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Citations per field
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Citations per year

Countries citing papers authored by Dawood Darbar

Since Specialization
Citations

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

Fields of papers citing papers by Dawood Darbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202418
3 20241
4 20240
5 202116
6
Abstract 16130: Race-Ethnicity Modulates Atrial Fibrillation Symptom Burden and Quality of Life
20191
7 201756
8 20155
9 201452
10 201322
11 20121
12 201290
13
Abstract 16237: Striking Electrophysiologic Differences Between Cardiac Sodium Channel Isoforms SCN10A and SCN5A
20114
14 20107
15 2009182
16 20091
17 2008249
18 2008326
19 200835
20 200616

About Dawood Darbar

Dawood Darbar is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Molecular Biology, having authored 171 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (90 papers), Atrial Fibrillation Management and Outcomes (82 papers), Cardiac Arrhythmias and Treatments (60 papers), Ion channel regulation and function (21 papers), Cardiac pacing and defibrillation studies (12 papers), Cardiomyopathy and Myosin Studies (10 papers), Cardiovascular Function and Risk Factors (9 papers) and Genetic Associations and Epidemiology (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (5.7k citations), Internal Medicine (133 citations) and Molecular Biology (1.5k citations). Dawood Darbar has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Dan M. Roden, Prince J. Kannankeril, Stephen C. Hammill, Bernard J. Gersh, Lynne W. Stevenson, Babar Parvez, T. Bruce Ferguson, Mark S. Link, Pamela Karasik and John Dimarco. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Investigation.

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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