Arvindra Krishnamurthy

477 citations
7 papers · 38 · h-index 2

Impact in

Papers in

Arvindra Krishnamurthy

7 papers receiving 38 citations

Peers

Arvindra Krishnamurthy
Comparison fields: 5 of 14
  • Cardiology and Cardiovascular Medicine 36
  • Internal Medicine 4
  • Surgery 19
  • Radiology, Nuclear Medicine and Imaging 5
  • Emergency Medicine 2
Replace Igor Ivanov with:
Igor Ivanov Serbia
Guillermo Bastos Fernández Spain
Cristian Alexandru Udroiu Romania
Franco Cipollini Italy
Natalie Burton-Wood United Kingdom
Severin Wittmer Switzerland
Dorival Júlio Della Togna Brazil
Fabien Dormal Belgium
Felipe Lourenço Fernandes Brazil
Mihran Martirosyan Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Arvindra Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Arvindra Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Arvindra Krishnamurthy, 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 Arvindra Krishnamurthy Line = papers co-authored together Arvindra Krishnamurthy links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201918
2 201715
3 20231
4 20241
5 20131
6 20221
7 20161

About Arvindra Krishnamurthy

Arvindra Krishnamurthy is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Internal Medicine and Epidemiology, having authored 7 papers that have together received 38 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (4 papers), Coronary Interventions and Diagnostics (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Congenital Heart Disease Studies (1 paper), Trauma Management and Diagnosis (1 paper), Cardiac Imaging and Diagnostics (1 paper), Vascular Procedures and Complications (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (36 citations), Internal Medicine (4 citations), Surgery (19 citations), Radiology, Nuclear Medicine and Imaging (5 citations) and Emergency Medicine (2 citations). Arvindra Krishnamurthy has collaborated with scholars based in United Kingdom. Frequent co-authors include Natalie Burton-Wood, Paul D. Baxter, Daniel J. Blackman, Stephen G. Wheatcroft, Kathryn Somers, John P. Greenwood, Christopher J. Malkin, Michelle A. Anderson, Charlotte Harland and Claire Keeble. Their work appears in journals such as Open Heart, Expert Review of Cardiovascular Therapy, European Heart Journal Acute Cardiovascular Care, Heart and BMJ Case Reports.

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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