Jay Shavadia

2.7k total citations
46 papers, 513 citations indexed

About

Jay Shavadia is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Emergency Medicine. According to data from OpenAlex, Jay Shavadia has authored 46 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cardiology and Cardiovascular Medicine, 12 papers in Surgery and 12 papers in Emergency Medicine. Recurrent topics in Jay Shavadia's work include Acute Myocardial Infarction Research (18 papers), Cardiac Arrest and Resuscitation (9 papers) and Mechanical Circulatory Support Devices (6 papers). Jay Shavadia is often cited by papers focused on Acute Myocardial Infarction Research (18 papers), Cardiac Arrest and Resuscitation (9 papers) and Mechanical Circulatory Support Devices (6 papers). Jay Shavadia collaborates with scholars based in Canada, United States and Kenya. Jay Shavadia's co-authors include Kevin R. Bainey, Christopher B. Granger, Gerald Yonga, Harun Otieno, Robert C. Welsh, Christopher B. Fordyce, Tracy Y. Wang, Minh Vo, Timothy D. Henry and Ajar Kochar and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Analytical Chemistry.

In The Last Decade

Jay Shavadia

40 papers receiving 498 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Shavadia Canada 14 331 167 126 89 68 46 513
Daniel Menees United States 8 519 1.6× 245 1.5× 184 1.5× 185 2.1× 62 0.9× 19 679
Björn Lengenfelder Germany 12 392 1.2× 237 1.4× 151 1.2× 87 1.0× 80 1.2× 28 591
Davide Giacomo Presutti Italy 9 340 1.0× 163 1.0× 139 1.1× 145 1.6× 27 0.4× 11 533
Dhiran Verghese United States 10 184 0.6× 98 0.6× 112 0.9× 84 0.9× 122 1.8× 48 354
Antonio Di Chiara Italy 12 449 1.4× 165 1.0× 94 0.7× 138 1.6× 110 1.6× 31 619
Gerry Devlin New Zealand 12 399 1.2× 69 0.4× 60 0.5× 58 0.7× 34 0.5× 47 508
Alina Goßling Germany 14 360 1.1× 289 1.7× 184 1.5× 96 1.1× 211 3.1× 56 665
Marie Hauguel‐Moreau France 11 378 1.1× 255 1.5× 42 0.3× 138 1.6× 34 0.5× 38 563
Erik Badings Netherlands 13 565 1.7× 206 1.2× 123 1.0× 184 2.1× 19 0.3× 31 847
Fredrik Scherstén Sweden 15 623 1.9× 431 2.6× 75 0.6× 148 1.7× 49 0.7× 25 774

Countries citing papers authored by Jay Shavadia

Since Specialization
Citations

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

Fields of papers citing papers by Jay Shavadia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Shavadia

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Shavadia. A scholar is included among the top collaborators of Jay Shavadia 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 Jay Shavadia. Jay Shavadia 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.
Shavadia, Jay, Udoka Okpalauwaekwe, Minyoung Kim, et al.. (2024). Contemporary Outcomes of Acute Coronary Syndromes in Indigenous Compared With Non-Indigenous Patients: A Northern Saskatchewan Perspective. Canadian Journal of Cardiology. 40(11). 2094–2101.
2.
Kakodkar, Pramath, Pouneh Dokouhaki, Fang‐Xiang Wu, et al.. (2023). The role of the HLA allelic repertoire on the clinical severity of COVID-19 in Canadians, living in the Saskatchewan province. Human Immunology. 84(3). 163–171. 7 indexed citations
3.
Ghasemzadeh, Nima, Nathan Kim, Mina Madan, et al.. (2023). A Review of ST-Elevation Myocardial Infarction in Patients with COVID-19. Heart Failure Clinics. 19(2). 197–204. 5 indexed citations
4.
Dehghani, Payam, Andrea Lavoie, Jay Shavadia, et al.. (2023). Catheter-Induced Postextrasystolic Potentiation in the Assessment of Severity of Low-Gradient Aortic Valve Stenosis. Circulation Cardiovascular Interventions. 16(5). e012892–e012892. 1 indexed citations
5.
Wong, Graham C., Terry Lee, Joel Singer, et al.. (2022). Incidence and Predictors of Adverse Events Among Initially Stable ST‐Elevation Myocardial Infarction Patients Following Primary Percutaneous Coronary Intervention. Journal of the American Heart Association. 11(17). e025572–e025572. 9 indexed citations
6.
Ghasemzadeh, Nima, Nathan Kim, Mina Madan, et al.. (2022). A Review of ST-Elevation Myocardial Infarction in Patients with COVID-19. Cardiology Clinics. 40(3). 321–328. 6 indexed citations
7.
Shavadia, Jay, et al.. (2022). Can ED chest pain patients with intermediate HEART scores be managed as outpatients?. Canadian Journal of Emergency Medicine. 24(7). 770–779. 3 indexed citations
8.
Shavadia, Jay, Daniel Edmonston, Alyssa Platt, et al.. (2020). Statins and atherosclerotic cardiovascular outcomes in patients on incident dialysis and with atherosclerotic heart disease. American Heart Journal. 231. 36–44. 14 indexed citations
9.
Shavadia, Jay, DaJuanicia N. Holmes, Laine Thomas, et al.. (2019). Comparative Effectiveness of β-Blocker Use Beyond 3 Years After Myocardial Infarction and Long-Term Outcomes Among Elderly Patients. Circulation Cardiovascular Quality and Outcomes. 12(7). e005103–e005103. 18 indexed citations
10.
Shavadia, Jay, Anita Y. Chen, Alexander C. Fanaroff, et al.. (2019). Intensive Care Utilization in Stable Patients With ST-Segment Elevation Myocardial Infarction Treated With Rapid Reperfusion. JACC: Cardiovascular Interventions. 12(8). 709–717. 32 indexed citations
11.
Shavadia, Jay, Christopher B. Granger, Wendimagegn Alemayehu, et al.. (2019). High-throughput targeted proteomics discovery approach and spontaneous reperfusion in ST-segment elevation myocardial infarction. American Heart Journal. 220. 137–144. 8 indexed citations
12.
Haddad, Haissam, et al.. (2019). Mechanical circulatory support in cardiogenic shock. Current Opinion in Cardiology. 35(2). 145–149. 1 indexed citations
13.
14.
Kochar, Ajar, Hussein R. Al‐Khalidi, Steen Møller Hansen, et al.. (2018). Delays in Primary Percutaneous Coronary Intervention in ST-Segment Elevation Myocardial Infarction Patients Presenting With Cardiogenic Shock. JACC: Cardiovascular Interventions. 11(18). 1824–1833. 39 indexed citations
15.
16.
17.
Shavadia, Jay & Robert C. Welsh. (2013). Acute Management of ST-Elevation Myocardial Infarction Patients Taking Dabigatran. Canadian Journal of Cardiology. 29(11). 1531.e13–1531.e14. 2 indexed citations
18.
Shavadia, Jay, et al.. (2013). Clinical characteristics and outcomes of atrial fibrillation and flutter at the Aga Khan University Hospital, Nairobi : cardiovascular topics. Cardiovascular journal of South Africa. 24(2). 6–9. 34 indexed citations
19.
Shavadia, Jay, et al.. (2011). Predisposing factors and clinical characteristics of atrial fibrillation and flutter at the Aga Khan University Hospital, Nairobi. Cardiovascular journal of South Africa. 5. 1 indexed citations
20.
Shavadia, Jay, et al.. (2009). Utility Of Liver Biopsy In Hiv-Infected Patients Presenting With Febrile Illnesses And Inconclusive Evaluation. East African Medical Journal. 85(10). 505–8.

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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