Amit Shah

9.4k total citations · 3 hit papers
252 papers, 5.8k citations indexed

About

Amit Shah is a scholar working on Cardiology and Cardiovascular Medicine, Biomedical Engineering and Neurology. According to data from OpenAlex, Amit Shah has authored 252 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Cardiology and Cardiovascular Medicine, 27 papers in Biomedical Engineering and 21 papers in Neurology. Recurrent topics in Amit Shah's work include Heart Rate Variability and Autonomic Control (83 papers), Cardiac Health and Mental Health (76 papers) and ECG Monitoring and Analysis (25 papers). Amit Shah is often cited by papers focused on Heart Rate Variability and Autonomic Control (83 papers), Cardiac Health and Mental Health (76 papers) and ECG Monitoring and Analysis (25 papers). Amit Shah collaborates with scholars based in United States, Canada and United Kingdom. Amit Shah's co-authors include Viola Vaccarino, J. Douglas Bremner, Thomas F. Hawk, Gari D. Clifford, Arshed A. Quyyumi, Shamim Nemati, Jonathon A. Nye, Elsayed Z. Soliman, Paolo Raggi and Jack Goldberg and has published in prestigious journals such as Circulation, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Amit Shah

222 papers receiving 5.6k citations

Hit Papers

Classification of 12-lead ECGs: the PhysioNet/Computing i... 2020 2026 2022 2024 2020 2020 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Shah United States 37 3.4k 696 551 544 462 252 5.8k
Richard P. Sloan United States 46 3.1k 0.9× 1.2k 1.8× 438 0.8× 1.2k 2.3× 649 1.4× 155 8.6k
Grant D. Huang United States 35 879 0.3× 572 0.8× 414 0.8× 697 1.3× 570 1.2× 96 7.8k
Marco Stramba‐Badiale Italy 41 4.4k 1.3× 420 0.6× 257 0.5× 367 0.7× 383 0.8× 114 7.0k
Rollin McCraty United States 31 3.6k 1.1× 1.1k 1.7× 1.0k 1.8× 982 1.8× 456 1.0× 85 6.3k
Tjalf Ziemssen Germany 52 961 0.3× 847 1.2× 426 0.8× 204 0.4× 194 0.4× 466 10.9k
John J. Sollers United States 30 2.7k 0.8× 1.2k 1.7× 387 0.7× 942 1.7× 251 0.5× 59 5.2k
Tim Meyer Germany 58 2.8k 0.8× 901 1.3× 1.1k 2.1× 416 0.8× 131 0.3× 328 12.8k
Caterina Rosano United States 58 1.2k 0.4× 1.5k 2.2× 272 0.5× 221 0.4× 846 1.8× 235 10.6k
Albert C. Yang Taiwan 43 785 0.2× 2.1k 3.0× 212 0.4× 445 0.8× 185 0.4× 224 6.5k
Ross Zafonte United States 66 791 0.2× 1.1k 1.6× 378 0.7× 920 1.7× 463 1.0× 441 15.5k

Countries citing papers authored by Amit Shah

Since Specialization
Citations

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

Fields of papers citing papers by Amit Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Shah. A scholar is included among the top collaborators of Amit 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 Amit Shah. Amit 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
2.
Vaccarino, Viola, Eva Prescott, Amit Shah, et al.. (2025). Mental health disorders and their impact on cardiovascular health disparities. The Lancet Regional Health - Europe. 56. 101373–101373.
3.
Moazzami, Kasra, Samaah Sullivan, Alexis K. Okoh, et al.. (2025). Cardiovascular Reactivity to Mental Stress and Adverse Cardiovascular Outcomes in Patients With Coronary Artery Disease. Journal of the American Heart Association. 14(3). e034683–e034683. 2 indexed citations
4.
Reyna, Matthew A., Salman Seyedi, Andoni Elola, et al.. (2024). Digitization and Classification of ECG Images: The George B. Moody PhysioNet Challenge 2024. Computing in cardiology. 51.
5.
Almuwaqqat, Zakaria, Chang Liu, Yi‐An Ko, et al.. (2024). Posttraumatic Stress Disorder and the Risk of Heart Failure Hospitalizations Among Individuals With Coronary Artery Disease. Circulation Cardiovascular Quality and Outcomes. 17(12). e011040–e011040. 1 indexed citations
6.
Gazi, Asim H., Erick Andres Perez Alday, Nicholas L. Smith, et al.. (2024). Quantifying Posttraumatic Stress Disorder Symptoms During Traumatic Memories Using Interpretable Markers of Respiratory Variability. IEEE Journal of Biomedical and Health Informatics. 28(8). 4912–4924. 1 indexed citations
7.
Sullivan, Samaah, Mariana García, Zakaria Almuwaqqat, et al.. (2023). Sex Differences in Vascular Response to Mental Stress and Adverse Cardiovascular Events Among Patients With Ischemic Heart Disease. Arteriosclerosis Thrombosis and Vascular Biology. 43(4). e112–e120. 12 indexed citations
8.
Reyna, Matthew A., Nadi Sadr, Erick Andres Perez Alday, et al.. (2022). Issues in the automated classification of multilead ecgs using heterogeneous labels and populations. Physiological Measurement. 43(8). 84001–84001. 26 indexed citations
9.
Suglia, Shakira F., Shakia T. Hardy, Alison L. Cammack, et al.. (2022). Child Maltreatment and Inflammatory Response to Mental Stress Among Adults Who Have Survived a Myocardial Infarction. Psychosomatic Medicine. 84(9). 1013–1020.
10.
Wulsin, Lawson R., Lydia G. Roos, Diana Wang, et al.. (2022). Stress Measurement in Primary Care: Conceptual Issues, Barriers, Resources, and Recommendations for Study. Psychosomatic Medicine. 84(3). 267–275. 9 indexed citations
11.
García, Mariana, Samaah Sullivan, Chang Liu, et al.. (2021). Impaired Peripheral Microvascular Function and Risk of Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease. Arteriosclerosis Thrombosis and Vascular Biology. 41(5). 1801–1809. 16 indexed citations
12.
Li, Qiao, Qichen Li, Giulia Da Poian, et al.. (2021). Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables. Physiological Measurement. 42(4). 44004–44004. 33 indexed citations
13.
McKinnon, Izraelle I., Amit Shah, Bruno B. Lima, et al.. (2021). Everyday Discrimination and Mental Stress–Induced Myocardial Ischemia. Psychosomatic Medicine. 83(5). 432–439. 9 indexed citations
14.
Bremner, J. Douglas, Nil Z. Gurel, Matthew T. Wittbrodt, et al.. (2020). Application of Noninvasive Vagal Nerve Stimulation to Stress-Related Psychiatric Disorders. Journal of Personalized Medicine. 10(3). 119–119. 52 indexed citations
15.
Poian, Giulia Da, Yi‐An Ko, Amit Shah, et al.. (2020). An unbiased, efficient sleep–wake detection algorithm for a population with sleep disorders: change point decoder. SLEEP. 43(8). 10 indexed citations
16.
Alday, Erick Andres Perez, Annie Gu, Amit Shah, et al.. (2020). Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020. Physiological Measurement. 41(12). 124003–124003. 294 indexed citations breakdown →
17.
Alonso, Álvaro, et al.. (2019). HIV Infection and Incidence of Cardiovascular Diseases: An Analysis of a Large Healthcare Database. Journal of the American Heart Association. 8(14). e012241–e012241. 130 indexed citations
18.
Holt, Joseph C., et al.. (2017). Muscarinic Acetylcholine Receptors and M-Currents Underlie Efferent-Mediated Slow Excitation in Calyx-Bearing Vestibular Afferents. Journal of Neuroscience. 37(7). 1873–1887. 32 indexed citations
19.
Nemati, Shamim, Mohammad M. Ghassemi, Nino Isakadze, et al.. (2016). Monitoring and detecting atrial fibrillation using wearable technology. PubMed. 2016. 3394–3397. 112 indexed citations
20.
Tereshchenko, Larisa G., Amit Shah, & Elsayed Z. Soliman. (2015). Abstract P106: Physical Activity and Atrial Fibrillation in NHANES III. Circulation. 131.

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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