Deepa M. Gopal

1.4k citations
49 papers · 983 · h-index 17

Impact in

Papers in

Deepa M. Gopal

41 papers receiving 949 citations

Peers

Deepa M. Gopal
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 477
  • Nephrology 112
  • Immunology 115
  • Physiology 138
  • Neurology 39
Replace Lei Song with:
Lei Song China
Xueyan Zhao China
Samir Kapadia United States
Dirk Jan van Veldhuisen Netherlands
Chengchun Tang China
Yubao Zou China
Marco Magnoni Italy
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Lichan Tao China
Wilfried Dinh Germany
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Citations per field
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Citations per year

Countries citing papers authored by Deepa M. Gopal

Since Specialization
Citations

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

Fields of papers citing papers by Deepa M. Gopal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deepa M. Gopal. 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 Deepa M. Gopal. The network helps show where Deepa M. Gopal may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010109
2 2012105
3 201881
4 201977
5 201272
6 201565
7 201443
8 201942
9 201838
10 201136
11 201536
12 201331
13 202227
14 202225
15 201423
16 202319
17 201918
18 202216
19 202313
20 202012

About Deepa M. Gopal

Deepa M. Gopal is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 49 papers that have together received 983 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (13 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers), Pulmonary Hypertension Research and Treatments (8 papers), Systemic Sclerosis and Related Diseases (7 papers), Heart Failure Treatment and Management (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), Cardiovascular Disease and Adiposity (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (477 citations), Nephrology (112 citations), Immunology (115 citations), Physiology (138 citations) and Neurology (39 citations). Deepa M. Gopal has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Wilson S. Colucci, Nir Ayalon, Jill Downing, Chang‐seng Liang, Omar K. Siddiqi, Frederick L. Ruberg, Deborah A. Siwik, Flora Sam, Jennifer E. Ho and Javed Butler. Their work appears in journals such as Journal of the American Heart Association, Journal of Cardiac Failure, Circulation, American Heart Journal and Arthritis Care & Research.

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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