Tushar Kotecha

4.7k total citations
66 papers, 1.7k citations indexed

About

Tushar Kotecha is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tushar Kotecha has authored 66 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 24 papers in Molecular Biology and 23 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tushar Kotecha's work include Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cardiac Imaging and Diagnostics (21 papers) and Parathyroid Disorders and Treatments (16 papers). Tushar Kotecha is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Cardiac Imaging and Diagnostics (21 papers) and Parathyroid Disorders and Treatments (16 papers). Tushar Kotecha collaborates with scholars based in United Kingdom, United States and Italy. Tushar Kotecha's co-authors include Marianna Fontana, James Moon, Daniel Knight, Peter Kellman, Ana Martinez–Naharro, Philip N. Hawkins, Roby Rakhit, Julian D. Gillmore, Tamer Rezk and Thomas A. Treibel and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Scientific Reports.

In The Last Decade

Tushar Kotecha

61 papers receiving 1.7k citations

Peers

Tushar Kotecha
Daniel Knight United Kingdom
Sabahat Bokhari United States
David W. Seldin United States
Katja Hueper Germany
Jennifer H. Jordan United States
Nicolas L. Palaskas United States
Daniel Knight United Kingdom
Tushar Kotecha
Citations per year, relative to Tushar Kotecha Tushar Kotecha (= 1×) peers Daniel Knight

Countries citing papers authored by Tushar Kotecha

Since Specialization
Citations

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

Fields of papers citing papers by Tushar Kotecha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tushar Kotecha

This figure shows the co-authorship network connecting the top 25 collaborators of Tushar Kotecha. A scholar is included among the top collaborators of Tushar Kotecha 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 Tushar Kotecha. Tushar Kotecha 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
2.
Patel, Rishi, Ana Martinez–Naharro, Yousuf Razvi, et al.. (2024). 5 Cardiovascular magnetic resonance (CMR) in transthyretin amyloid cardiomyopathy – a study of natural history and treatment repsonse. Abstracts. A2.1–A2. 1 indexed citations
3.
Netti, Lucrezia, Adam Ioannou, Ana Martinez–Naharro, et al.. (2024). Microvascular Obstruction in Cardiac Amyloidosis. European Journal of Heart Failure. 27(12). 2948–2951. 4 indexed citations
4.
Kotecha, Tushar, et al.. (2023). Pulmonary hypertension – the latest updates for physicians. Clinical Medicine. 23(5). 449–454. 5 indexed citations
5.
Khan, Zahid, et al.. (2023). Role of serial troponin measurements in risk stratification of acute pulmonary embolism. European Heart Journal Acute Cardiovascular Care. 12(Supplement_1). 1 indexed citations
6.
Peralta, Mirta, Vincent Muczynski, Anne Riddell, et al.. (2023). PB0056 Predicting VTE and Mortality in COVID-19 by Receiver-Operating Characteristic (ROC) Analysis of Haemostatic and Inflammatory Biomarkers. Research and Practice in Thrombosis and Haemostasis. 7. 100914–100914. 2 indexed citations
7.
Ioannou, Adam, Rishi Patel, Yousuf Razvi, et al.. (2022). Abstract 10064: Tracking Multi-Organ Treatment Response in Systemic Al-Amyloidosis With Cardiac Magnetic Resonance Derived Extracellular Volume Mapping. Circulation. 146(Suppl_1). 1 indexed citations
8.
Ioannou, Adam, Rishi Patel, Yousuf Razvi, et al.. (2022). Multi-Imaging Characterization of Cardiac Phenotype in Different Types of Amyloidosis. JACC. Cardiovascular imaging. 16(4). 464–477. 28 indexed citations
9.
Xue, Hui, Rhodri Davies, Louise Brown, et al.. (2020). Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning. Radiology Artificial Intelligence. 2(6). e200009–e200009. 32 indexed citations
10.
Jabbour, Richard J., Tushar Kotecha, Luciano Candilio, et al.. (2020). TCT CONNECT-221 Primary PCI for STEMI During the COVID-19 Pandemic in London: A Systematic Analysis of Pathway Activation and Outcomes. Journal of the American College of Cardiology. 76(17). B96–B96. 1 indexed citations
11.
Kotecha, Tushar, Omar Chehab, Ana Martinez–Naharro, et al.. (2020). Assessment of Multivessel Coronary Artery Disease Using Cardiovascular Magnetic Resonance Pixelwise Quantitative Perfusion Mapping. JACC. Cardiovascular imaging. 13(12). 2546–2557. 42 indexed citations
12.
Kotecha, Tushar, Ana Martinez–Naharro, Michele Boldrini, et al.. (2019). Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction. JACC. Cardiovascular imaging. 12(10). 1958–1969. 154 indexed citations
13.
Baggiano, Andrea, Michele Boldrini, Ana Martinez–Naharro, et al.. (2019). Noncontrast Magnetic Resonance for the Diagnosis of Cardiac Amyloidosis. JACC. Cardiovascular imaging. 13(1). 69–80. 126 indexed citations
14.
Knight, Daniel, Tushar Kotecha, Ana Martinez–Naharro, et al.. (2019). Cardiovascular magnetic resonance-guided right heart catheterization in a conventional CMR environment – predictors of procedure success and duration in pulmonary artery hypertension. Journal of Cardiovascular Magnetic Resonance. 21(1). 57–57. 28 indexed citations
15.
Kotecha, Tushar, Andrea Baggiano, Michele Boldrini, et al.. (2018). Assessment of Treatment Response in Cardiac AL Amyloidosis Using CMR Mapping - Results at 3 Months, 6 Months and 1 Year Post-Chemotherapy. UCL Discovery (University College London). 1 indexed citations
16.
Kotecha, Tushar, Ana Martinez–Naharro, Thomas A. Treibel, et al.. (2018). Myocardial Edema and Prognosis in Amyloidosis. Journal of the American College of Cardiology. 71(25). 2919–2931. 140 indexed citations
17.
Martinez–Naharro, Ana, Tushar Kotecha, Michele Boldrini, et al.. (2018). Native T1 and Extracellular Volume in Transthyretin Amyloidosis. JACC. Cardiovascular imaging. 12(5). 810–819. 193 indexed citations
18.
Knight, Daniel, Giulia Zumbo, William Barcella, et al.. (2018). Cardiac Structural and Functional Consequences of Amyloid Deposition by Cardiac Magnetic Resonance and Echocardiography and Their Prognostic Roles. JACC. Cardiovascular imaging. 12(5). 823–833. 119 indexed citations
19.
Martinez–Naharro, Ana, Thomas A. Treibel, Amna Abdel‐Gadir, et al.. (2017). Magnetic Resonance in Transthyretin Cardiac Amyloidosis. Journal of the American College of Cardiology. 70(4). 466–477. 275 indexed citations
20.
Kotecha, Tushar & Roby Rakhit. (2016). Acute coronary syndromes. Clinical Medicine. 16(6). s43–s48. 28 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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