Jay Rajda
Impact in
- Family Practice top 2%
- Medication Adherence and Compliance
- Geriatrics and Gerontology top 10%
- Pharmaceutical Practices and Patient Outcomes
Papers in
-
- Blood Pressure and Hypertension Studies 2
- Cardiovascular Health and Risk Factors 1
-
- Chronic Disease Management Strategies 2
- Co-authors
- Henry Wei (3 shared papers)Gregory Steinberg (2 shared papers)Renée J.G. Arnold (1 shared paper)Allison Freeman (1 shared paper)José M. Castellano (1 shared paper)Fernando García-Alonso (1 shared paper)Claire M. Spettell (1 shared paper)Sameer Bansilal (1 shared paper)
- Journals
- Telemedicine Journal and e-Health (2 papers)Journal of the American College of Cardiology (1 paper)Journal of Human Hypertension (1 paper)PubMed (1 paper)Archives of Internal Medicine (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jay Rajda
5 papers receiving 264 citations
Peers
Comparison fields: 5 of 62
- Family Practice 102
- Geriatrics and Gerontology 36
- Cardiology and Cardiovascular Medicine 119
- Applied Psychology 13
- Economics and Econometrics 65
Countries citing papers authored by Jay Rajda
This map shows the geographic impact of Jay Rajda'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 Rajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Rajda more than expected).
Fields of papers citing papers by Jay Rajda
This network shows the impact of papers produced by Jay Rajda. 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 Rajda. The network helps show where Jay Rajda may publish in the future.
Co-authors
The 20 scholars most cited alongside Jay Rajda, 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 | 2016 | 192 | |
| 2 | 2017 | 33 | |
| 3 | 2017 | 30 | |
| 4 | 2008 | 10 | |
| 5 | 2019 | 4 | |
| 6 | Semantic interoperability of Health Risk Assessments. | 2011 | 0 |
About Jay Rajda
Jay Rajda is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Public Health, Environmental and Occupational Health, Surgery and Dermatology, having authored 6 papers that have together received 269 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (2 papers), Chronic Disease Management Strategies (2 papers), Cardiovascular Health and Risk Factors (1 paper), Pharmaceutical Practices and Patient Outcomes (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Health Promotion and Cardiovascular Prevention (1 paper), Nutritional Studies and Diet (1 paper) and Telemedicine and Telehealth Implementation (1 paper). The work is most often cited by research in Family Practice (102 citations), Geriatrics and Gerontology (36 citations), Cardiology and Cardiovascular Medicine (119 citations), Applied Psychology (13 citations) and Economics and Econometrics (65 citations). Jay Rajda has collaborated with scholars based in United States and Spain. Frequent co-authors include Henry Wei, Gregory Steinberg, Renée J.G. Arnold, Allison Freeman, José M. Castellano, Fernando García-Alonso, Claire M. Spettell, Sameer Bansilal, Valentı́n Fuster and Irene Lizano‐Díez. Their work appears in journals such as Telemedicine Journal and e-Health, Journal of the American College of Cardiology, Journal of Human Hypertension, PubMed and Archives of Internal Medicine.
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.