Divya Nag

3.6k citations
11 papers · 1.1k indexed · 1 hit paper · h-index 10

Divya Nag

11 papers receiving 1.1k citations

Hit Papers

Rationale and design of a large-scale, app-based study to...277201820262020202350100150200250

Peers

Divya Nag
Comparison fields: 5 of 106
  • Health Informatics 25
  • Cardiology and Cardiovascular Medicine 235
  • Genetics 96
  • Molecular Biology 591
  • Cancer Research 114
Replace Roberto Álvarez with:
Roberto Álvarez Spain
Zhang Zhang China
Craig C Benson United States
T.K. Yeung United Kingdom
Yifen Zhang China
Ian D. Connolly United States
Alfredo Quiñones-Hinojosa United States
Lars Riedemann Germany
Amy Foley United States
Daniela Nascimento Silva Brazil
Divya Nag relative to Roberto Álvarez Spain Roberto Álvarez's profile →
Citations per field
00.5×4.2×
Roberto Álvarez · 1×
Citations per year

Countries citing papers authored by Divya Nag

Since Specialization
Citations

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

Fields of papers citing papers by Divya Nag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20243
2
Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Studybreakdown →
2018277
3 2012114
4 201256
5 201233
6 201152
7 2011125
8 2011286
9 201165
10 201040
11 201021

About Divya Nag

Divya Nag is a scholar working on Cardiology and Cardiovascular Medicine, Rehabilitation, Cancer Research, Complementary and alternative medicine and Surgery, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), RNA Interference and Gene Delivery (2 papers), ECG Monitoring and Analysis (1 paper), Viral Infections and Immunology Research (1 paper), Virus-based gene therapy research (1 paper), Stroke Rehabilitation and Recovery (1 paper) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Health Informatics (25 citations), Cardiology and Cardiovascular Medicine (235 citations), Genetics (96 citations), Molecular Biology (591 citations) and Cancer Research (114 citations). Divya Nag has collaborated with scholars based in United States, Norway and India. Frequent co-authors include Joseph C. Wu, Patricia K. Nguyen, Andrew S. Lee, Feng Lan, Shijun Hu, Robert C. Robbins, Yongquan Gong, Shawn L. Chavez, Barry Behr and Debashis Sahoo. Their work appears in journals such as Circulation, Biomaterials, Circulation Cardiovascular Imaging, American Heart Journal and Journal of Nuclear 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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