Jay Rajda
Impact in
- Family Practice top 2%
- Medication Adherence and Compliance
-
- Pharmaceutical Practices and Patient Outcomes
Papers in
-
- Cardiovascular Health and Risk Factors 1
- Cardiac, Anesthesia and Surgical Outcomes 1
-
- Telemedicine and Telehealth Implementation 1
- Co-authors
- Gregory Steinberg (2 shared papers)Henry Wei (3 shared papers)Allison Freeman (1 shared paper)Valentı́n Fuster (1 shared paper)Irene Lizano‐Díez (1 shared paper)Renée J.G. Arnold (1 shared paper)Fernando García-Alonso (1 shared paper)José M. Castellano (1 shared paper)
- Journals
- Telemedicine Journal and e-Health (2 papers)Journal of Human Hypertension (1 paper)Journal of the American College of Cardiology (1 paper)PubMed (1 paper)Archives of Internal Medicine (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jay Rajda
5 papers receiving 278 citations
Peers
Comparison fields: 5 of 50
- Family Practice 90
- Geriatrics and Gerontology 16
- Cardiology and Cardiovascular Medicine 69
- General Health Professions 33
- Applied Psychology 5
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 19 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 | 199 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 32 | |
| 4 | 2008 | 12 | |
| 5 | 2019 | 5 | |
| 6 | Semantic interoperability of Health Risk Assessments. | 2011 | 0 |
About Jay Rajda
Jay Rajda is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Epidemiology, Surgery and General Health Professions, having authored 6 papers that have together received 284 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (2 papers), Hip and Femur Fractures (1 paper), Hospital Admissions and Outcomes (1 paper), Cardiovascular Health and Risk Factors (1 paper), Physical Activity and Health (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper), Telemedicine and Telehealth Implementation (1 paper) and Cutaneous Melanoma Detection and Management (1 paper). The work is most often cited by research in Family Practice (90 citations), Geriatrics and Gerontology (16 citations), Cardiology and Cardiovascular Medicine (69 citations), General Health Professions (33 citations) and Applied Psychology (5 citations). Jay Rajda has collaborated with scholars based in United States and Spain. Frequent co-authors include Gregory Steinberg, Henry Wei, Allison Freeman, Valentı́n Fuster, Irene Lizano‐Díez, Renée J.G. Arnold, Fernando García-Alonso, José M. Castellano, Sameer Bansilal and Claire M. Spettell. Their work appears in journals such as Telemedicine Journal and e-Health, Journal of Human Hypertension, Journal of the American College of Cardiology, 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.