Nitesh Nerlekar
About
Nitesh Nerlekar is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery.
According to data from OpenAlex, Nitesh Nerlekar has authored 125 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Cardiology and Cardiovascular Medicine, 68 papers in Radiology, Nuclear Medicine and Imaging and 67 papers in Surgery. Recurrent topics in Nitesh Nerlekar's work include Cardiac Imaging and Diagnostics (65 papers), Coronary Interventions and Diagnostics (35 papers) and Cardiovascular Disease and Adiposity (34 papers). Nitesh Nerlekar is often cited by papers focused on Cardiac Imaging and Diagnostics (65 papers), Coronary Interventions and Diagnostics (35 papers) and Cardiovascular Disease and Adiposity (34 papers). Nitesh Nerlekar collaborates with scholars based in Australia, United States and United Kingdom. Nitesh Nerlekar's co-authors include James D. Cameron, Dennis T. L. Wong, Adam J. Brown, Damini Dey, Andrew Lin, Sujith Seneviratne, Rahul G. Muthalaly, Stephen J. Nicholls, Thomas H. Marwick and Dennis Wong and has published in prestigious journals such as The Lancet, Circulation and Journal of the American College of Cardiology.
In The Last Decade
Nitesh Nerlekar
114 papers receiving 2.2k citations
Peers
Nitesh Nerlekar
Jawdat Abdulla Denmark
Nuno Bettencourt Portugal
Hiroki Shiomi Japan
Chi‐Ling Hang Taiwan
A. Yong Australia
Vinay Thohan United States
Edoardo Conte Italy
Jaime Elı́zaga Spain
Éric Bonnefoy France
Renan Sukmawan Indonesia
Citations per year, relative to Nitesh Nerlekar Nitesh Nerlekar (= 1×)
peers
Jawdat Abdulla
Countries citing papers authored by Nitesh Nerlekar
Since
Specialization
Citations
This map shows the geographic impact of Nitesh Nerlekar'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 Nitesh Nerlekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitesh Nerlekar more than expected).
Fields of papers citing papers by Nitesh Nerlekar
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Nitesh Nerlekar. 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 Nitesh Nerlekar. The network helps show where Nitesh Nerlekar may publish in the future.
Co-authorship network of co-authors of Nitesh Nerlekar
This figure shows the co-authorship network connecting the top 25 collaborators of Nitesh Nerlekar. A scholar is included among the top collaborators of Nitesh Nerlekar 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 Nitesh Nerlekar. Nitesh Nerlekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Wilson, Douglas W., Sohaib Virk, A. Bhat, et al.. (2025). Evaluation of the Clinical Significance of Carotid Plaque Characteristics in Ischaemic Stroke: A Systematic Review and Meta-Analysis. Heart Lung and Circulation. 34(10). 1041–1049.
2.
Goel, Vivek, D. William Cameron, E. Aldous, et al.. (2024). Novel deep learning algorithm demonstrates strong performance for detection and quantification of breast arterial calcification and associates with cardiovascular disease. European Heart Journal. 45(Supplement_1).
3.
Nerlekar, Nitesh, et al.. (2024). The mitral to aortic/pulmonary velocity-time integral ratio is a simple, feasible and accurate discriminator for echocardiographic evaluation of severe isolated mitral regurgitation. The International Journal of Cardiovascular Imaging. 40(12). 2459–2467.
4.
Tan, Sean, Adam J. Nelson, Rahul G. Muthalaly, et al.. (2024). Cardiovascular risk in cancer patients treated with immune checkpoint inhibitors: challenges and future directions. European Journal of Preventive Cardiology. 33(4). 472–480.
5.
Watanabe, Alyssa T., et al.. (2024). Artificial Intelligence–based Software for Breast Arterial Calcification Detection on Mammograms. Journal of Breast Imaging. 7(2). 168–176.
6.
Tan, Sean, et al.. (2024). An association between Dasatinib, elevated left atrial pressure and pleural effusion. International Journal of Cardiology. 410. 132216–132216.
7.
Tan, Sean, Adam J. Nelson, Muhammad Alamgeer, et al.. (2023). Atherosclerotic Cardiovascular Events in Cancer Patients Treated With Immune Checkpoint Inhibitors: A Retrospective Cohort Study. Heart Lung and Circulation. 33(5). 721–729.
8.
Nicholls, Stephen J., Nitesh Nerlekar, D. Scherer, et al.. (2023). Asia-Pacific Investigators and Asian Enrollment in Cardiometabolic Trials. JACC Asia. 3(5). 724–735.
9.
Dey, Damini, et al.. (2023). Pericoronary Adipose Tissue as a Marker of Cardiovascular Risk. Journal of the American College of Cardiology. 81(9). 913–923.
10.
Bui, Quan M., et al.. (2022). Abstract 11669: Quantitative and Automated Breast Arterial Calcification Score is Associated With Traditional Cardiovascular Risk Factors. Circulation. 146(Suppl_1).
11.
Yuvaraj, Jeremy, D. William Cameron, Jordan Andrews, et al.. (2021). Coronary computed tomography angiography-based assessment of vascular inflammation in patients with obstructive sleep apnoea and coronary artery disease. Cardiovascular Diagnosis and Therapy. 12(1). 123–134.
12.
Lin, Andrew, Nitesh Nerlekar, Jeremy Yuvaraj, et al.. (2020). PERICORONARY ADIPOSE TISSUE COMPUTED TOMOGRAPHY ATTENUATION IN DIFFERENT STAGES OF CORONARY ARTERY DISEASE: A CROSS-SECTIONAL STUDY. Journal of the American College of Cardiology. 75(11). 1718–1718.
13.
Ihdayhid, Abdul Rahman, Bjarne Linde Nørgaard, Sara Gaur, et al.. (2019). Prognostic Value and Risk Continuum of Noninvasive Fractional Flow Reserve Derived from Coronary CT Angiography. Radiology. 292(2). 343–351.
14.
Ihdayhid, Abdul Rahman, Takuya Sakaguchi, Jacqui Hislop-Jambrich, et al.. (2019). Influence of operator expertise and coronary luminal segmentation technique on diagnostic performance, precision and reproducibility of reduced-order CT-derived fractional flow reserve technique. Journal of cardiovascular computed tomography. 14(4). 356–362.
15.
Koshy, A., J. Sajeev, Nitesh Nerlekar, et al.. (2018). Smart watches for heart rate assessment in atrial arrhythmias. International Journal of Cardiology. 266. 124–127.
16.
Mirzaee, S., et al.. (2018). The effect of combined ezetimibe and statin therapy versus statin therapy alone on coronary plaque volume assessed by intravascular ultrasound: A systematic review and meta-analysis. Journal of clinical lipidology. 12(5). 1133–1140.e15.
17.
Cheshire, C., Nitesh Nerlekar, Liam McCormick, et al.. (2016). TCT-577 Intravascular ultrasound guidance during percutaneous coronary intervention using second-generation drug-eluting stents improves clinical outcomes and reduces restenosis rates: a comparative 8,265 patient meta-analysis. Journal of the American College of Cardiology. 68(18). B233–B234.
18.
Wong, Dennis T. L., Brian Ko, James D. Cameron, et al.. (2014). COMPARISON OF DIAGNOSTIC ACCURACY OF COMBINED ASSESSMENT USING ADENOSINE STRESS CT PERFUSION (CTP) + COMPUTED TOMOGRAPHY ANGIOGRAPHY (CTA) WITH TRANSLUMINAL ATTENUATION GRADIENT (TAG320) + CTA AGAINST INVASIVE FRACTIONAL FLOW RESERVE (FFR). Journal of the American College of Cardiology. 63(12). A2158–A2158.
19.
Wong, Dennis T. L., Brian Ko, James D. Cameron, et al.. (2014). Comparison of Diagnostic Accuracy of Combined Assessment Using Adenosine Stress Computed Tomography Perfusion + Computed Tomography Angiography With Transluminal Attenuation Gradient + Computed Tomography Angiography Against Invasive Fractional Flow Reserve. Journal of the American College of Cardiology. 63(18). 1904–1912.
20.
Wong, Dennis T. L., Brian Ko, James D. Cameron, et al.. (2013). Transluminal Attenuation Gradient in Coronary Computed Tomography Angiography Is a Novel Noninvasive Approach to the Identification of Functionally Significant Coronary Artery Stenosis. Journal of the American College of Cardiology. 61(12). 1271–1279.
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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