Danny J. Eapen

1.7k citations
45 papers · 1.1k · h-index 19

Impact in

Papers in

Danny J. Eapen

43 papers receiving 1.1k citations

Peers

Danny J. Eapen
Comparison fields: 5 of 117
  • Cardiology and Cardiovascular Medicine 471
  • Cancer Research 149
  • Biochemistry 46
  • Endocrinology, Diabetes and Metabolism 96
  • Geriatrics and Gerontology 22
Replace Nima Ghasemzadeh with:
Nima Ghasemzadeh United States
Emmanuel Androulakis Greece
Corey E. Tabit United States
I‐Ting Tsai Taiwan
Zhih‐Cherng Chen Taiwan
Grażyna Sypniewska Poland
Rikje Ruiter Netherlands
Vasiliki Katsi Greece
Elaine Zaharris United States
Ningling Sun China
Danny J. Eapen relative to Nima Ghasemzadeh United States Nima Ghasemzadeh's profile →
Citations per field
00.5×1.7×
Nima Ghasemzadeh · 1×
Citations per year

Countries citing papers authored by Danny J. Eapen

Since Specialization
Citations

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

Fields of papers citing papers by Danny J. Eapen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny J. Eapen. 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 Danny J. Eapen. The network helps show where Danny J. Eapen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015117
2 2014112
3 2014105
4 201485
5 201371
6 201661
7 201545
8 201445
9 201440
10 201438
11 201335
12 201435
13 201132
14 201127
15 201726
16 201422
17 201721
18 201420
19 201520
20 202118

About Danny J. Eapen

Danny J. Eapen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Cancer Research, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Cardiovascular Disease and Adiposity (4 papers), Protease and Inhibitor Mechanisms (4 papers), Acute Myocardial Infarction Research (4 papers), Cancer, Lipids, and Metabolism (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (471 citations), Cancer Research (149 citations), Biochemistry (46 citations), Endocrinology, Diabetes and Metabolism (96 citations) and Geriatrics and Gerontology (22 citations). Danny J. Eapen has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Laurence Sperling, Arshed A. Quyyumi, Nima Ghasemzadeh, Emir Veledar, A. Maziar Zafari, Pankaj Manocha, Viola Vaccarino, Riyaz S. Patel, Hatem Al Kassem and Habib Samady. Their work appears in journals such as Journal of the American College of Cardiology, Journal of the American Heart Association, Circulation, Clinical Cardiology and Atherosclerosis.

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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