Tushar Acharya

512 citations
30 papers · 332 indexed · h-index 11

Tushar Acharya

27 papers receiving 330 citations

Peers

Tushar Acharya
Comparison fields: 5 of 68
  • Cardiology and Cardiovascular Medicine 212
  • Endocrinology, Diabetes and Metabolism 51
  • Internal Medicine 9
  • Radiology, Nuclear Medicine and Imaging 46
  • Nephrology 13
Replace Koichiro Matsumura with:
Koichiro Matsumura Japan
Kenan Demır Türkiye
Alberto Preda Italy
Mattheus Ramsis United States
Annika Rosengren Sweden
Maddalena Conte Italy
Santhosh Jay Mathews United States
Mohammad Alidoosti Iran
Tatsuya Saigusa Japan
Akihiro Sunaga Japan
Tushar Acharya relative to Koichiro Matsumura Japan Koichiro Matsumura's profile →
Citations per field
00.5×10×20×27×
Koichiro Matsumura · 1×
Citations per year

Countries citing papers authored by Tushar Acharya

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Acharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20245
3 20239
4 20230
5 20221
6 202115
7 20202
8 20205
9 201920
10 201921
11 20186
12
Abstract 17765: Distribution And Comparison Of High-sensitivity Troponin-T And Troponin-I In An Elderly Population Cohort - Findings From The AGES-Reykjavik Study
20171
13 201714
14 201710
15 20161
16 201613
17 20162
18 201538
19 20152
20 201556

About Tushar Acharya

Tushar Acharya is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Internal Medicine, having authored 30 papers that have together received 332 indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (8 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Respiratory viral infections research (2 papers), Atrial Fibrillation Management and Outcomes (2 papers), Radiation Dose and Imaging (2 papers) and Cardiac Health and Mental Health (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (212 citations), Endocrinology, Diabetes and Metabolism (51 citations) and Internal Medicine (9 citations). Tushar Acharya has collaborated with scholars based in United States, Iceland and India. Frequent co-authors include Prakash Deedwania, Jian Huang, Manmeet Mahinderjit Singh, Enrique V. Carbajal, Eric M. Mortensen, Ishak A. Mansi, Christopher R. Frei, Andrew E. Arai, John A. Ambrose and Guðmundur Þorgeirsson. Their work appears in journals such as Journal of cardiovascular computed tomography, The American Journal of Medicine, European Heart Journal, Journal of the American College of Cardiology and The American Journal of 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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