Jay Rajda
Impact in
- Family Practice top 2%
- Medication Adherence and Compliance
-
- Pharmaceutical Practices and Patient Outcomes
Papers in
- Co-authors
- Gregory Steinberg (3 shared papers)Henry G. Wei (4 shared papers)Allison N. Freeman (1 shared paper)Claire M. Spettell (1 shared paper)Valentı́n Fuster (1 shared paper)Sameer Bansilal (1 shared paper)Jose Maria Castellano (1 shared paper)Irene Lizano Díez (1 shared paper)
- Journals
- Telemedicine Journal and e-Health (2 papers)American Journal of Hematology (1 paper)Journal of Palliative Medicine (1 paper)Journal of Human Hypertension (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jay Rajda
7 papers receiving 323 citations
Peers
Comparison fields: 5 of 54
- Family Practice 102
- Geriatrics and Gerontology 22
- Cardiology and Cardiovascular Medicine 79
- General Health Professions 36
- Economics and Econometrics 39
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 | 228 | |
| 2 | 2017 | 36 | |
| 3 | 2017 | 31 | |
| 4 | 2005 | 18 | |
| 5 | 2008 | 12 | |
| 6 | 2019 | 5 | |
| 7 | 2015 | 1 | |
| 8 | Semantic interoperability of Health Risk Assessments. | 2011 | 0 |
About Jay Rajda
Jay Rajda is a scholar working on Public Health, Environmental and Occupational Health, Cardiology and Cardiovascular Medicine, Family Practice, General Health Professions and Emergency Medicine, having authored 8 papers that have together received 331 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (2 papers), Physical Activity and Health (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Chronic Myeloid Leukemia Treatments (1 paper), Hip and Femur Fractures (1 paper), Primary Care and Health Outcomes (1 paper), Medication Adherence and Compliance (1 paper) and Hospital Admissions and Outcomes (1 paper). The work is most often cited by research in Family Practice (102 citations), Geriatrics and Gerontology (22 citations), Cardiology and Cardiovascular Medicine (79 citations), General Health Professions (36 citations) and Economics and Econometrics (39 citations). Jay Rajda has collaborated with scholars based in United States and Spain. Frequent co-authors include Gregory Steinberg, Henry G. Wei, Allison N. Freeman, Claire M. Spettell, Valentı́n Fuster, Sameer Bansilal, Jose Maria Castellano, Irene Lizano Díez, Renée J.G. Arnold and Fernando García-Alonso. Their work appears in journals such as Telemedicine Journal and e-Health, American Journal of Hematology, Journal of Palliative Medicine, Journal of Human Hypertension and Journal of the American College of Cardiology.
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.