Kapil Parakh

1.9k total citations
33 papers, 1.3k citations indexed

About

Kapil Parakh is a scholar working on Cardiology and Cardiovascular Medicine, General Health Professions and Health. According to data from OpenAlex, Kapil Parakh has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 8 papers in General Health Professions and 4 papers in Health. Recurrent topics in Kapil Parakh's work include Cardiac Health and Mental Health (16 papers), Heart Failure Treatment and Management (13 papers) and Acute Myocardial Infarction Research (4 papers). Kapil Parakh is often cited by papers focused on Cardiac Health and Mental Health (16 papers), Heart Failure Treatment and Management (13 papers) and Acute Myocardial Infarction Research (4 papers). Kapil Parakh collaborates with scholars based in United States, Canada and United Kingdom. Kapil Parakh's co-authors include Roy C. Ziegelstein, Senthil Thambidorai, Allan L. Klein, Ankit Sakhuja, Eugene H. Blackstone, Bruce W. Lytle, Michael S. Lauer, Stefan Bertog, Paul Schoenhagen and Penny L. Houghtaling and has published in prestigious journals such as Journal of the American College of Cardiology, The American Journal of Medicine and The British Journal of Psychiatry.

In The Last Decade

Kapil Parakh

33 papers receiving 1.3k citations

Peers

Kapil Parakh
Lan Gao Australia
Hareld Kemps Netherlands
Joyce C. Pressley United States
Ambar Kulshreshtha United States
Dawn Stewart United States
Kyoung Suk Lee South Korea
Kelly M. Smith United States
Lan Gao Australia
Kapil Parakh
Citations per year, relative to Kapil Parakh Kapil Parakh (= 1×) peers Lan Gao

Countries citing papers authored by Kapil Parakh

Since Specialization
Citations

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

Fields of papers citing papers by Kapil Parakh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kapil Parakh

This figure shows the co-authorship network connecting the top 25 collaborators of Kapil Parakh. A scholar is included among the top collaborators of Kapil Parakh 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 Kapil Parakh. Kapil Parakh 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.
Hueppchen, Nancy A., et al.. (2023). Data Science as a Core Competency in Undergraduate Medical Education in the Age of Artificial Intelligence in Health Care. JMIR Medical Education. 9. e46344–e46344. 23 indexed citations
2.
Seneviratne, Martin, Susan Connolly, Seth S. Martin, & Kapil Parakh. (2022). Grains of Sand to Clinical Pearls: Realizing the Potential of Wearable Data. The American Journal of Medicine. 136(2). 136–142. 8 indexed citations
3.
Martin, Seth S., Oluwaseun E. Fashanu, Jane Wang, et al.. (2019). A randomized controlled trial of online symptom searching to inform patient generated differential diagnoses. npj Digital Medicine. 2(1). 110–110. 9 indexed citations
4.
Azevedo, Ricardo de Miranda, Annelieke M. Roest, Robert M. Carney, et al.. (2017). Individual depressive symptoms and all-cause mortality In 6673 patients with myocardial infarction: Heterogeneity across age and sex subgroups. Journal of Affective Disorders. 228. 178–185. 11 indexed citations
5.
Azevedo, Ricardo de Miranda, Annelieke M. Roest, Robert M. Carney, et al.. (2016). A bifactor model of the Beck Depression Inventory and its association with medical prognosis after myocardial infarction.. Health Psychology. 35(6). 614–624. 18 indexed citations
6.
Doyle, Frank, Hannah McGee, Ronán Conroy, et al.. (2015). Systematic Review and Individual Patient Data Meta-Analysis of Sex Differences in Depression and Prognosis in Persons With Myocardial Infarction. Psychosomatic Medicine. 77(4). 419–428. 88 indexed citations
7.
Galiatsatos, Panagis, et al.. (2015). A finger photoplethysmography waveform during the valsalva maneuver detects changes in left heart filling pressure after hemodialysis. BMC Nephrology. 16(1). 138–138. 6 indexed citations
8.
Loo, Hanna M. van, Edwin R. van den Heuvel, Robert A. Schoevers, et al.. (2014). Sex dependent risk factors for mortality after myocardial infarction: individual patient data meta-analysis. BMC Medicine. 12(1). 242–242. 20 indexed citations
9.
Meijer, Anna, Henk Jan Conradi, Elisabeth H. Bos, et al.. (2013). Adjusted prognostic association of depression following myocardial infarction with mortality and cardiovascular events: individual patient data meta-analysis. The British Journal of Psychiatry. 203(2). 90–102. 160 indexed citations
10.
Doyle, Frank, Hannah McGee, Ronán Conroy, et al.. (2013). Systematic review and individual patient data meta-analysis of sex differences in depression and prognosis in persons with myocardial infarction: A MINDMAPS study. UvA-DARE (University of Amsterdam). 1 indexed citations
11.
Parakh, Kapil, et al.. (2012). Frontiers of Therapy for Patients With Heart Failure. The American Journal of Medicine. 126(1). 6–12.e6. 8 indexed citations
12.
Parakh, Kapil, et al.. (2010). Self-assessed Physical Health Predicts 10-Year Mortality After Myocardial Infarction. Journal of Cardiopulmonary Rehabilitation and Prevention. 30(1). 35–39. 8 indexed citations
13.
Thombs, Brett D., Roy C. Ziegelstein, Kapil Parakh, et al.. (2008). Probit structural equation regression model: general depressive symptoms predicted post-myocardial infarction mortality after controlling for somatic symptoms of depression. Journal of Clinical Epidemiology. 61(8). 832–839. 14 indexed citations
14.
Ziegelstein, Roy C., et al.. (2008). Platelet function in patients with major depression. Internal Medicine Journal. 39(1). 38–43. 56 indexed citations
15.
Parakh, Kapil, et al.. (2008). Long-term Significance of Killip Class and Left Ventricular Systolic Dysfunction. The American Journal of Medicine. 121(11). 1015–1018. 29 indexed citations
16.
Parakh, Kapil, et al.. (2008). Gastrointestinal: Pill esophagitis. Journal of Gastroenterology and Hepatology. 23(2). 339–339. 1 indexed citations
17.
Thombs, Brett D., Roy C. Ziegelstein, Donna E. Stewart, et al.. (2007). Usefulness of Persistent Symptoms of Depression to Predict Physical Health Status 12 Months After an Acute Coronary Syndrome. The American Journal of Cardiology. 101(1). 15–19. 29 indexed citations
18.
Ziegelstein, Roy C., et al.. (2007). Depression and Coronary Artery Disease: Is There a Platelet Link?. Mayo Clinic Proceedings. 82(11). 1366–1368. 26 indexed citations
19.
Thambidorai, Senthil, Kapil Parakh, David O. Martin, et al.. (2004). Relation of C-reactive protein correlates with risk of thromboembolism in patients with atrial fibrillation. The American Journal of Cardiology. 94(6). 805–807. 47 indexed citations
20.
Bertog, Stefan, Senthil Thambidorai, Kapil Parakh, et al.. (2004). Constrictive pericarditis: etiology and cause-specific survival after pericardiectomy. Journal of the American College of Cardiology. 43(8). 1445–1452. 281 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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