Svati Shah

1.2k total citations · 1 hit paper
6 papers, 672 citations indexed

About

Svati Shah is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Svati Shah has authored 6 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Svati Shah's work include Cardiac Imaging and Diagnostics (2 papers), ECG Monitoring and Analysis (1 paper) and Cardiac Health and Mental Health (1 paper). Svati Shah is often cited by papers focused on Cardiac Imaging and Diagnostics (2 papers), ECG Monitoring and Analysis (1 paper) and Cardiac Health and Mental Health (1 paper). Svati Shah collaborates with scholars based in United States, Hungary and Germany. Svati Shah's co-authors include David Adlam, David E. Thaler, Malissa J. Wood, Sharonne N. Hayes, Cynthia Arslanian‐Engoren, Marysia S. Tweet, Sahar Naderi, Esther Kim, Katherine E. Economy and Rajiv Gulati and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Circulation Cardiovascular Imaging.

In The Last Decade

Svati Shah

2 papers receiving 651 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Spontaneous Coronary Artery Dissection: Current State of the Science: A Scientific Statement From the American Heart Association

2018 671 citations Sharonne N. Hayes, Esther Kim et al. Circulation profile →

Peers

Countries citing papers authored by Svati Shah

Since Specialization

Citations

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

Fields of papers citing papers by Svati Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Svati Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Svati Shah. A scholar is included among the top collaborators of Svati 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 Svati Shah. Svati Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

#	Work	Indexed citations
1	Risk in Women Emerges at Lower Coronary Plaque Burden Than in Men: PROMISE Trial 2026 ·Circulation Cardiovascular Imaging ·(unknown), (unknown), (unknown), Márton Kolossváry, (unknown), (unknown), (unknown), Michelle D. Kelsey, (unknown), (unknown), Svati Shah, (unknown), (unknown), (unknown), Borek Foldyna	0
2	Incorporation of lipoprotein(a) levels improves calibration of pre-test likelihood estimates of obstructive coronary artery disease 2026 ·European Heart Journal - Cardiovascular Imaging ·(unknown), Laust Dupont Rasmussen, (unknown), (unknown), Svati Shah, Peter Möller, (unknown), Lydia Coulter Kwee, (unknown), Borek Foldyna, (unknown), (unknown), (unknown)	0
3	Prognostic Value of Plaque Volume in Patients With First Diagnosis of Coronary Artery Disease 2026 ·JAMA Cardiology ·(unknown), (unknown), (unknown), Márton Kolossváry, (unknown), (unknown), Vinit Baliyan, (unknown), (unknown), (unknown), (unknown), Svati Shah, (unknown), Borek Foldyna	0
4	Predicting Heart Failure From 12-Lead ECGs Using AI 2025 ·Journal of the American College of Cardiology ·Akshay S. Desai, Ambarish Pandey, (unknown), Faraz S. Ahmad, Heather M. Alger, (unknown), (unknown), Francisco López-Jiménez, Jae K. Oh, (unknown), (unknown), (unknown), (unknown), M. A. Ciga, Samir Awasthi, Javed Butler, Svati Shah, Sanjiv J. Shah	1
5	Machine Learning Computer Vision Point of Care Decision Support of Echocardiographic Identification of Hypertrophic Cardiomyopathy 2025 ·JACC Advances ·Sreekanth Vemulapalli, Fawaz Alenezi, Hyeon Ki Jeong, Anna Giczewska, Karen Chiswell, Pamela S. Douglas, Anru R. Zhang, Svati Shah, Ricardo Henao, (unknown)	0
6	Spontaneous Coronary Artery Dissection: Current State of the Science: A Scientific Statement From the American Heart Association breakdown → 2018 ·Circulation ·Sharonne N. Hayes, Esther Kim, Jacqueline Saw, David Adlam, Cynthia Arslanian‐Engoren, Katherine E. Economy, Santhi K. Ganesh, Rajiv Gulati, Mark E. Lindsay, Jennifer H. Mieres, Sahar Naderi, Svati Shah, David E. Thaler, Marysia S. Tweet, Malissa J. Wood	671

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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