Jay Thakkar
- Family Practice top 0.5%
- Medication Adherence and Compliance 3
- Applied Psychology top 2%
- Digital Mental Health Interventions 6
- General Health Professions top 2%
- Mobile Health and mHealth Applications 9
- Health Literacy and Information Accessibility 2
-
- Blood Pressure and Hypertension Studies 4
- Acute Myocardial Infarction Research 2
- Geriatrics and Gerontology top 5%
-
- Cardiac Imaging and Diagnostics 4
-
- Cardiac Structural Anomalies and Repair 3
Jay Thakkar
29 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Family Practice 329
- Applied Psychology 298
- General Health Professions 731
- Cardiology and Cardiovascular Medicine 474
- Geriatrics and Gerontology 67
Countries citing papers authored by Jay Thakkar
This map shows the geographic impact of Jay Thakkar'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 Thakkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Thakkar more than expected).
Fields of papers citing papers by Jay Thakkar
This network shows the impact of papers produced by Jay Thakkar. 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 Thakkar. The network helps show where Jay Thakkar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay Thakkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 13 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 11 | |
| 11 | 2018 | 27 | |
| 12 | 2018 | 22 | |
| 13 | 2017 | 41 | |
| 14 | 2016 | 10 | |
| 15 | Mobile Telephone Text Messaging for Medication Adherence in Chronic Diseasebreakdown → | 2016 | 497 |
| 16 | 2016 | 15 | |
| 17 | 2016 | 42 | |
| 18 | 2015 | 4 | |
| 19 | 2014 | 3 | |
| 20 | 2013 | 3 |
About Jay Thakkar
Jay Thakkar is a scholar working on Family Practice, Applied Psychology, Cardiology and Cardiovascular Medicine, Applied Microbiology and Biotechnology and Anesthesiology and Pain Medicine, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mobile Health and mHealth Applications (9 papers), Digital Mental Health Interventions (6 papers), Cardiac Imaging and Diagnostics (4 papers), Blood Pressure and Hypertension Studies (4 papers), Cardiac Structural Anomalies and Repair (3 papers), Medication Adherence and Compliance (3 papers), Acute Myocardial Infarction Research (2 papers) and Health Literacy and Information Accessibility (2 papers). The work is most often cited by research in Family Practice (329 citations), Applied Psychology (298 citations), General Health Professions (731 citations), Cardiology and Cardiovascular Medicine (474 citations) and Geriatrics and Gerontology (67 citations). Jay Thakkar has collaborated with scholars based in Australia, United States and India. Frequent co-authors include Clara K Chow, Julie Redfern, Aravinda Thiagalingam, Karla Santo, Anthony Rodgers, Tracey‐Lea Laba, Mark Woodward, R. Kurup, Maree L. Hackett and Tony Barry. Their work appears in journals such as European Journal of Preventive Cardiology, Alzheimer s & Dementia, JAMA, NeuroImage and Hypertension.
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.