Danny J. Eapen

1.7k citations
45 papers · 1.2k · h-index 20

Impact in

Papers in

Danny J. Eapen

44 papers receiving 1.2k citations

Peers

Danny J. Eapen
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 343
  • Cancer Research 123
  • Biochemistry 40
  • Endocrinology, Diabetes and Metabolism 73
  • Behavioral Neuroscience 15
Replace Riyaz S. Patel with:
Riyaz S. Patel United States
Nima Ghasemzadeh United States
Grégoire Ruffenach United States
Mateusz Siedliński Poland
Judit Cubedo Spain
Emmanuel Androulakis United Kingdom
Edmund A. Bermudez United States
Grażyna Sypniewska Poland
Zbigniew Gąsior Poland
Juan‐Carlos Kaski United Kingdom
Danny J. Eapen relative to Riyaz S. Patel United States Riyaz S. Patel's profile →
Citations per field
00.5×1.5×
Riyaz S. Patel · 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 2015124
2 2014123
3 2014106
4 201490
5 201372
6 201668
7 201546
8 201445
9 201442
10 201441
11 201336
12 201436
13 201134
14 201127
15 201726
16 201524
17 201423
18 201721
19 201421
20 201619

About Danny J. Eapen

Danny J. Eapen is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (10 papers), Cardiovascular Effects of Exercise (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cardiac Health and Mental Health (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Blood Pressure and Hypertension Studies (2 papers), Pharmacology and Obesity Treatment (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (343 citations), Cancer Research (123 citations), Biochemistry (40 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Behavioral Neuroscience (15 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, Viola Vaccarino, Pankaj Manocha, Riyaz S. Patel, Hatem Al Kassem and Habib Samady. Their work appears in journals such as Journal of the American College of Cardiology, Circulation, Journal of clinical lipidology, Atherosclerosis and Journal of the American Heart Association.

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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