Jay Patel

22.0k total citations
57 papers, 1.1k citations indexed

About

Jay Patel is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Jay Patel has authored 57 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cardiology and Cardiovascular Medicine, 15 papers in Epidemiology and 13 papers in Infectious Diseases. Recurrent topics in Jay Patel's work include Tuberculosis Research and Epidemiology (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Pneumonia and Respiratory Infections (5 papers). Jay Patel is often cited by papers focused on Tuberculosis Research and Epidemiology (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Pneumonia and Respiratory Infections (5 papers). Jay Patel collaborates with scholars based in United Kingdom, India and United States. Jay Patel's co-authors include Gregory Y.H. Lip, Antonio Tello‐Montoliu, Elizabeth Hughes, Elizabeth Hughes, Dorairaj Prabhakaran, Scott A. Lear, Edward Janus, Ian D. Caterson, Rachel Huxley and Mark Woodward and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Jay Patel

50 papers receiving 1.0k 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 Patel United Kingdom 18 274 242 212 202 181 57 1.1k
B. Zouari Tunisia 23 126 0.5× 243 1.0× 113 0.5× 403 2.0× 250 1.4× 110 1.5k
Jae‐woo Lee South Korea 19 286 1.0× 103 0.4× 151 0.7× 208 1.0× 205 1.1× 88 1.0k
Y. Chandrashekhar United States 15 690 2.5× 189 0.8× 165 0.8× 262 1.3× 284 1.6× 30 1.6k
Danuta Zwołińska Poland 20 132 0.5× 102 0.4× 363 1.7× 128 0.6× 164 0.9× 147 1.6k
Savita Kumari India 16 234 0.9× 138 0.6× 137 0.6× 232 1.1× 299 1.7× 88 1.3k
Jee‐Hyun Kang South Korea 11 118 0.4× 188 0.8× 85 0.4× 247 1.2× 84 0.5× 27 932
Mehmet Ağırbaşlı Türkiye 22 530 1.9× 418 1.7× 121 0.6× 244 1.2× 246 1.4× 84 1.5k
Zefeng Xu China 24 409 1.5× 152 0.6× 569 2.7× 124 0.6× 122 0.7× 169 1.8k
Bülent Canbaz Türkiye 16 88 0.3× 300 1.2× 123 0.6× 188 0.9× 274 1.5× 46 1.1k
Alan L. Patrick United States 25 178 0.6× 191 0.8× 375 1.8× 300 1.5× 252 1.4× 83 1.8k

Countries citing papers authored by Jay Patel

Since Specialization
Citations

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

Fields of papers citing papers by Jay Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Patel. A scholar is included among the top collaborators of Jay Patel 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 Patel. Jay Patel 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
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Al‐Ozairi, Ebaa, et al.. (2024). Information behaviours of people with type 2 diabetes in Kuwait: a grounded theory study. BMC Primary Care. 25(1). 326–326.
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Patel, Jay, et al.. (2024). Tuberculosis Preventive Treatment (TPT) in India: A Qualitative Review. SHILAP Revista de lepidopterología. 3 indexed citations
5.
Yasobant, Sandul, et al.. (2023). Deaths among tuberculosis patients of the western state of India: A secondary record based analytical study on its determinants. Indian Journal of Tuberculosis. 70(4). 390–397. 1 indexed citations
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Yasobant, Sandul, et al.. (2022). A step up to end tuberculosis: Lessons from a community-based death review of patients with tuberculosis from western India. Clinical Epidemiology and Global Health. 19. 101205–101205. 3 indexed citations
8.
Khatib, Mahalaqua Nazli, Quazi Syed Zahiruddin, Abhay Gaidhane, et al.. (2022). Gaps and Interventions across the Diagnostic Care Cascade of TB Patients at the Level of Patient, Community and Health System: A Qualitative Review of the Literature. Tropical Medicine and Infectious Disease. 7(7). 136–136. 15 indexed citations
9.
Yasobant, Sandul, Mahalaqua Nazli Khatib, Quazi Syed Zahiruddin, et al.. (2022). Health-Related Quality of Life (HRQoL) of Patients with Tuberculosis: A Review. Infectious Disease Reports. 14(4). 509–524. 16 indexed citations
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Patel, Jay, et al.. (2016). Prevalence of Tobacco Consumption and Its Contributing Factors among Students of a Private Medical College in Belgaum: A Cross Sectional Study. Ethiopian Journal of Health Sciences. 26(3). 209–209. 18 indexed citations
12.
Patel, Bhavik, et al.. (2016). A STUDY OF THE TIMING OF DEATH IN PATIENTS WITH TUBERCULOSIS WHO DIE DURING ANTI-TUBERCULOSIS TREATMENT. SHILAP Revista de lepidopterología. 1 indexed citations
13.
Shah, Monali, et al.. (2014). Comparative evaluation of platelet-rich fibrin with demineralized freeze-dried bone allograft in periodontal infrabony defects: A randomized controlled clinical study. Journal of Indian Society of Periodontology. 19(1). 56–56. 46 indexed citations
14.
Patel, Jay, Muriel Caslake, Avni Vyas, et al.. (2009). Triglycerides and small dense low density lipoprotein in the discrimination of coronary heart disease risk in South Asian populations. Atherosclerosis. 209(2). 579–584. 16 indexed citations
15.
Jaumdally, Rumi, Gregory Y.H. Lip, Jay Patel, Robert J. MacFadyen, & C. Varma. (2009). Effects of coronary artery disease and percutaneous intervention on the cardiac metabolism of nonesterified fatty acids and insulin: Implications of diabetes mellitus. Journal of Internal Medicine. 265(6). 689–697. 3 indexed citations
16.
Patel, Jay, et al.. (2008). Circulating serum adiponectin levels in patients with coronary artery disease: relationship to atherosclerotic burden and cardiac function. Journal of Internal Medicine. 264(6). 593–598. 35 indexed citations
17.
Patel, Jay, et al.. (2008). Measurement of Stiffness Index by Digital Volume Pulse Analysis Technique: Clinical Utility in Cardiovascular Disease Risk Stratification. American Journal of Hypertension. 21(8). 866–872. 53 indexed citations
18.
Chung, Irene, et al.. (2007). Soluble CD40L, platelet surface CD40L and total platelet CD40L in congestive heart failure: relationship to platelet volume, mass and granularity. Journal of Internal Medicine. 263(3). 313–321. 21 indexed citations
19.
Gunarathne, Ashan, Jay Patel, Rahul Potluri, et al.. (2007). Secular trends in the cardiovascular risk profile and mortality of stroke admissions in an inner city, multiethnic population in the United Kingdom (1997–2005). Journal of Human Hypertension. 22(1). 18–23. 30 indexed citations
20.
Tello‐Montoliu, Antonio, Jay Patel, & Gregory Y.H. Lip. (2006). Angiogenin: a review of the pathophysiology and potential clinical applications. Journal of Thrombosis and Haemostasis. 4(9). 1864–1874. 186 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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