Rajendra Makkar

653 total citations
25 papers, 356 citations indexed

About

Rajendra Makkar is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Rajendra Makkar has authored 25 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 13 papers in Surgery and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Rajendra Makkar's work include Cardiac Valve Diseases and Treatments (8 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Rajendra Makkar is often cited by papers focused on Cardiac Valve Diseases and Treatments (8 papers), Tissue Engineering and Regenerative Medicine (6 papers) and Cardiac Imaging and Diagnostics (5 papers). Rajendra Makkar collaborates with scholars based in United States, Japan and United Kingdom. Rajendra Makkar's co-authors include James S. Forrester, Sunil Rangappa, Steven R. Messé, Robert Zivadinov, Michael G. Dwyer, Joshua D. Rovin, Joseph Brennan, Jeffrey Moses, Tamim Nazif and Rahul Sharma and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Rajendra Makkar

24 papers receiving 351 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rajendra Makkar United States 9 262 138 113 73 49 25 356
Radosław Parma Poland 12 319 1.2× 128 0.9× 183 1.6× 130 1.8× 12 0.2× 44 434
Adrian Corneliu Iancu Romania 10 388 1.5× 267 1.9× 47 0.4× 96 1.3× 44 0.9× 37 482
León Valdivieso Argentina 9 152 0.6× 109 0.8× 81 0.7× 196 2.7× 51 1.0× 27 328
António Fiarresga Portugal 12 335 1.3× 191 1.4× 85 0.8× 95 1.3× 11 0.2× 73 455
Neil Swanson United Kingdom 8 161 0.6× 164 1.2× 19 0.2× 122 1.7× 42 0.9× 24 313
Kentaro Honda Japan 9 104 0.4× 168 1.2× 27 0.2× 62 0.8× 13 0.3× 44 237
Barbara Cattadori Italy 8 120 0.5× 178 1.3× 55 0.5× 128 1.8× 24 0.5× 19 292
G Lepage Canada 12 350 1.3× 317 2.3× 100 0.9× 87 1.2× 15 0.3× 24 511
Anwar Ahmad United Kingdom 6 111 0.4× 80 0.6× 29 0.3× 43 0.6× 174 3.6× 8 315
Yunhu Song China 13 345 1.3× 166 1.2× 92 0.8× 54 0.7× 4 0.1× 44 456

Countries citing papers authored by Rajendra Makkar

Since Specialization
Citations

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

Fields of papers citing papers by Rajendra Makkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajendra Makkar

This figure shows the co-authorship network connecting the top 25 collaborators of Rajendra Makkar. A scholar is included among the top collaborators of Rajendra Makkar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rajendra Makkar. Rajendra Makkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Russo, Mark J., Sammy Elmariah, Tsuyoshi Kaneko, et al.. (2024). Machine Learning Identification of Modifiable Predictors of Patient Outcomes After Transcatheter Aortic Valve Replacement. SHILAP Revista de lepidopterología. 3(8). 101116–101116. 3 indexed citations
2.
Gupta, Aakriti, John S. Penn, Deborah K. Sokol, et al.. (2024). ValveVision AI - a multimodal language model for qualitative reporting of the aortic valve in echocardiography. European Heart Journal. 45(Supplement_1).
3.
Généreux, Philippe, Rahul Sharma, Robert J. Cubeddu, et al.. (2023). The Mortality Burden of Untreated Aortic Stenosis. Journal of the American College of Cardiology. 82(22). 2101–2109. 55 indexed citations
4.
Danenberg, Haim, Hana Vaknin‐Assa, Rajendra Makkar, et al.. (2023). First-in-human study of the CAPTIS embolic protection system during transcatheter aortic valve replacement. EuroIntervention. 19(11). e948–e952. 2 indexed citations
5.
Nazif, Tamim, Jeffrey Moses, Rahul Sharma, et al.. (2021). Randomized Evaluation of TriGuard 3 Cerebral Embolic Protection After Transcatheter Aortic Valve Replacement. JACC: Cardiovascular Interventions. 14(5). 515–527. 65 indexed citations
7.
Sovari, Ali A., Ashkan Ehdaie, Tarun Chakravarty, et al.. (2018). Permanent-temporary pacemakers in the management of patients with conduction abnormalities after transcatheter aortic valve replacement. Journal of Interventional Cardiac Electrophysiology. 52(1). 111–116. 17 indexed citations
8.
Seto, Arnold H., et al.. (2017). Sustained left ventricular outflow tract ventricular tachycardia following transcatheter aortic valve replacement. European Heart Journal. 38(22). 1776–1776. 2 indexed citations
10.
Abizaid, Alexandre, et al.. (2015). The ABS mother-daughter platforms. EuroIntervention. 11(V). V151–V152. 2 indexed citations
11.
12.
Kanazawa, Hideaki, Konstantinos Malliaras, Kristine Yee, et al.. (2013). CARDIOPROTECTIVE EFFECT OF ALLOGENEIC CARDIOSPHERE–DERIVED CELLS: REDUCTION OF INFARCT SIZE AND ATTENUATION OF NO–REFLOW WHEN ADMINISTERED IN THE INFARCT–RELATED ARTERY AFTER REPERFUSION IN PIGS WITH ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 61(10). E1818–E1818. 3 indexed citations
13.
Kanazawa, Hideaki, Konstantinos Malliaras, Kristine Yee, et al.. (2013). ALLOGENEIC CARDIOSPHERE–DERIVED CELLS AFTER REPERFUSION ARE EFFECTS IN REDUCING INFARCT SIZE AND ATTENUATING ADVERSE REMODELING IN PIGS WITH ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 61(10). E1833–E1833. 2 indexed citations
14.
Ibebuogu, Uzoma N., Bojan Cercek, Rajendra Makkar, et al.. (2012). Comparison Between Transradial and Transfemoral Percutaneous Coronary Intervention in Acute ST-Elevation Myocardial Infarction. The American Journal of Cardiology. 110(9). 1262–1265. 10 indexed citations
16.
Rangappa, Sunil, Rajendra Makkar, & James S. Forrester. (2010). Review Article: Current Status of Myocardial Regeneration: New Cell Sources and New Strategies. Journal of Cardiovascular Pharmacology and Therapeutics. 15(4). 338–343. 22 indexed citations
17.
Cheng, Victor, Saibal Kar, Heidi Gransar, et al.. (2009). Characterization of Complex Coronary Artery Stenosis Morphology by Coronary Computed Tomographic Angiography. JACC. Cardiovascular imaging. 2(8). 950–958. 6 indexed citations
18.
Lee, Michael S. & Rajendra Makkar. (2006). Bivalirudin in acute coronary syndromes and percutaneous coronary intervention.. PubMed. 7 Suppl 3. S27–34. 1 indexed citations
19.
Chen, Ming, Huai Luo, Takashi Miyamoto, et al.. (2003). Correlation of echo-Doppler aortic valve regurgitation index with angiographic aortic regurgitation severity. The American Journal of Cardiology. 92(5). 634–635. 11 indexed citations
20.
Makkar, Rajendra. (1998). Effects of clopidogrel, aspirin and combined therapy in a porcine ex vivo model of high-shear induced stent thrombosis. European Heart Journal. 19(10). 1538–1546. 98 indexed citations

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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