Ashish Aneja

2.0k citations
59 papers · 1.4k · h-index 18

Impact in

Papers in

Ashish Aneja

53 papers receiving 1.4k citations

Peers

Ashish Aneja
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 526
  • Biological Psychiatry 58
  • Behavioral Neuroscience 45
  • Endocrinology, Diabetes and Metabolism 191
  • Internal Medicine 24
Replace Spyridon Papaioannou with:
Spyridon Papaioannou Greece
Hajime Yamakage Japan
Sotirios Tsalamandris Greece
Mariana Floria Romania
Alessandra Dei Italy
Ewelina Młynarska Poland
Michele Malaguarnera Italy
Caterina Palleria Italy
Subramanian Ranganathan United States
Ines Drenjančević Croatia
Ashish Aneja relative to Spyridon Papaioannou Greece Spyridon Papaioannou's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashish Aneja

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Aneja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008396
2 2004157
3 2003119
4 2014110
5 201379
6 200358
7 201246
8 201245
9 201544
10 201137
11 200732
12 201929
13 200927
14 200924
15 201122
16 201320
17 200817
18 201117
19 202316
20 201816

About Ashish Aneja

Ashish Aneja is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (12 papers), Acute Myocardial Infarction Research (7 papers), Cardiac, Anesthesia and Surgical Outcomes (5 papers), Advanced MRI Techniques and Applications (5 papers), Diabetes Treatment and Management (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (526 citations), Biological Psychiatry (58 citations), Behavioral Neuroscience (45 citations), Endocrinology, Diabetes and Metabolism (191 citations) and Internal Medicine (24 citations). Ashish Aneja has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Michael E. Farkouh, Sameer Bansilal, W.H. Wilson Tang, Mario J. García, Fadi El‐Atat, Samy I. McFarlane, James R. Sowers, K. R. Aneja, Neeraj Aggarwal and Romika Dhiman. Their work appears in journals such as Journal of the American College of Cardiology, The American Journal of Cardiology, Current Problems in Cardiology, Journal of Cardiovascular Magnetic Resonance and Journal of Hospital Medicine.

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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