Mit Shah

807 total citations
20 papers, 515 citations indexed

About

Mit Shah is a scholar working on Cardiology and Cardiovascular Medicine, Health, Toxicology and Mutagenesis and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mit Shah has authored 20 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cardiology and Cardiovascular Medicine, 3 papers in Health, Toxicology and Mutagenesis and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mit Shah's work include Cardiovascular Disease and Adiposity (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). Mit Shah is often cited by papers focused on Cardiovascular Disease and Adiposity (3 papers), Cardiac Imaging and Diagnostics (3 papers) and Cardiac Arrhythmias and Treatments (2 papers). Mit Shah collaborates with scholars based in United Kingdom, India and United States. Mit Shah's co-authors include Larisa Nonn, Shweta Dambal, Alexander R. Lyon, Markus B. Sikkel, Li Ling Tan, A. John Baksi, Rajdeep Khattar, Pedro Moliner, Rakesh Sharma and Nilesh Pareek and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of the American College of Cardiology.

In The Last Decade

Mit Shah

18 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mit Shah United Kingdom 9 213 191 142 46 46 20 515
Guihua Yao China 10 212 1.0× 76 0.4× 38 0.3× 15 0.3× 82 1.8× 31 423
Richard Rivera United States 6 63 0.3× 334 1.7× 33 0.2× 40 0.9× 24 0.5× 16 620
Tamás Micsík Hungary 14 29 0.1× 236 1.2× 139 1.0× 90 2.0× 43 0.9× 50 625
Tianchang Li China 12 362 1.7× 214 1.1× 17 0.1× 58 1.3× 46 1.0× 45 680
Changxing Liu China 11 73 0.3× 178 0.9× 40 0.3× 89 1.9× 24 0.5× 59 603
D. Curtis Deno United States 15 310 1.5× 67 0.4× 43 0.3× 22 0.5× 15 0.3× 29 558
Zhengdong Wang China 14 62 0.3× 131 0.7× 43 0.3× 17 0.4× 31 0.7× 37 473
Jun Shi China 14 28 0.1× 117 0.6× 33 0.2× 46 1.0× 87 1.9× 53 517
Tao Mi China 13 106 0.5× 305 1.6× 97 0.7× 41 0.9× 17 0.4× 64 566
Qihe Huang China 9 118 0.6× 175 0.9× 108 0.8× 8 0.2× 25 0.5× 11 351

Countries citing papers authored by Mit Shah

Since Specialization
Citations

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

Fields of papers citing papers by Mit Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mit Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Mit Shah. A scholar is included among the top collaborators of Mit Shah 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 Mit Shah. Mit Shah 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.
Marvao, Antonio de, Mit Shah, Paolo Inglese, et al.. (2025). Establishing Cardiac MRI Reference Ranges Stratified by Sex and Age for Cardiovascular Function during Exercise. Radiology Cardiothoracic Imaging. 7(3). e240175–e240175.
2.
Lu, Chang, Paolo Inglese, Wenjia Bai, et al.. (2025). Sex-specific body fat distribution predicts cardiovascular ageing. European Heart Journal. 46(46). 5076–5088. 3 indexed citations
3.
Topriceanu, Constantin‐Cristian, Mit Shah, Hunain Shiwani, et al.. (2025). Higher Aircraft Noise Exposure Is Linked to Worse Heart Structure and Function by Cardiovascular MRI. Journal of the American College of Cardiology. 85(5). 454–469. 4 indexed citations
4.
Topriceanu, Constantin‐Cristian, Mit Shah, Matthew Webber, et al.. (2024). APOE ε4 carriage associates with improved myocardial performance from adolescence to older age. BMC Cardiovascular Disorders. 24(1). 172–172. 1 indexed citations
5.
Topriceanu, Constantin‐Cristian, Mit Shah, Nish Chaturvedi, et al.. (2024). IS AIRCRAFT NOISE HARMFUL FOR THE HEART?. Journal of the American College of Cardiology. 83(13). 4613–4613.
6.
Shah, Mit, et al.. (2024). Identification of faults for centrifugal pump using Wavelet analysis with machine learning classifiers. AIP conference proceedings. 3107. 110002–110002. 1 indexed citations
7.
Pillinger, Toby, Emanuele F. Osimo, Antonio de Marvao, et al.. (2023). Effect of polygenic risk for schizophrenia on cardiac structure and function: a UK Biobank observational study. The Lancet Psychiatry. 10(2). 98–107. 28 indexed citations
8.
Shah, Mit, Chang Lu, Sean L. Zheng, et al.. (2023). Environmental and genetic predictors of human cardiovascular ageing. Nature Communications. 14(1). 4941–4941. 27 indexed citations
9.
Shah, Mit, Chang Lu, Sean L. Zheng, et al.. (2023). OP1 A novel biomarker of cardiovascular ageing in the general population using machine learning. A1.1–A1. 1 indexed citations
10.
Shah, Sahil, et al.. (2020). Evolution in the membrane-based materials and comprehensive review on carbon capture and storage in industries. Emergent Materials. 3(1). 33–44. 29 indexed citations
11.
Low, Benjamin E., et al.. (2019). Acute management of atrial fibrillation with rapid ventricular response. British Journal of Hospital Medicine. 80(6). C82–C85. 1 indexed citations
12.
Pareek, Nilesh, Pedro Moliner, Mit Shah, et al.. (2018). Activity and Outcomes of a Cardio-Oncology Service in the United Kingdom—A Five-Year Experience. European Journal of Heart Failure. 20(12). 1721–1731. 94 indexed citations
13.
Shah, Mit, et al.. (2018). A Rare Case of Localized Tetanus. Indian Journal of Critical Care Medicine. 22(9). 678–679. 5 indexed citations
14.
Bakhai, Ameet, Harald Darius, Raffaele De Caterina, et al.. (2016). Characteristics and outcomes of atrial fibrillation patients with or without specific symptoms: results from the PREFER in AF registry. European Heart Journal - Quality of Care and Clinical Outcomes. 2(4). 299–305. 33 indexed citations
15.
Roul, Rajendra Kumar, et al.. (2016). Detecting spam web pages using content and link-based techniques. Sadhana. 41(2). 193–202. 12 indexed citations
16.
17.
Shah, Mit, Josif Grabocka, Nicolas Schilling, Martin Wistuba, & Lars Schmidt-Thieme. (2016). Learning DTW-Shapelets for Time-Series Classification. 1–8. 33 indexed citations
18.
Dambal, Shweta, et al.. (2015). The microRNA-183 cluster: the family that plays together stays together. Nucleic Acids Research. 43(15). 7173–7188. 170 indexed citations
19.
Sikkel, Markus B., Thomas P. Collins, Mit Shah, et al.. (2013). Flecainide reduces Ca2+ spark and wave frequency via inhibition of the sarcolemmal sodium current. Cardiovascular Research. 98(2). 286–296. 63 indexed citations
20.
Shah, Mit & Markus B. Sikkel. (2013). Coronary artery disease and age: beyond atherosclerosis. The Journal of Physiology. 591(23). 5807–5808. 6 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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