Gina Jay
Impact in
-
- Aging and Gerontology Research
- Health top 1%
- Health disparities and outcomes
Papers in
- Health 7
- Health disparities and outcomes 7
-
- Psychological Well-being and Life Satisfaction 5
- Co-authors
- Neal Krause (5 shared papers)Sherry L. Willis (4 shared papers)Jersey Liang (2 shared papers)Jersey Liang (1 shared paper)Manfred Diehl (1 shared paper)Michael Marsiske (1 shared paper)Roger C. Loeb (1 shared paper)Anthony R. D’Augelli (1 shared paper)
- Journals
- Research on Aging (2 papers)Archives of Physical Medicine and Rehabilitation (2 papers)Psychology and Aging (2 papers)Developmental Psychology (2 papers)Arthritis Care & Research (1 paper)
- Partner nations
- United StatesVietnamJapan
In The Last Decade
Gina Jay
27 papers receiving 1.3k citations
Gina Jay's Hit Papers
Peers
Comparison fields: 5 of 114
- Neuropsychology and Physiological Psychology 161
- Health 378
- General Health Professions 360
- Demography 181
- Applied Psychology 50
Countries citing papers authored by Gina Jay
This map shows the geographic impact of Gina Jay'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 Gina Jay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina Jay more than expected).
Fields of papers citing papers by Gina Jay
This network shows the impact of papers produced by Gina Jay. 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 Gina Jay. The network helps show where Gina Jay may publish in the future.
Co-authors
The 25 scholars most cited alongside Gina Jay, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | What Do Global Self-Rated Health Items Measure? Hit paper breakdown → | 1994 | 573 |
| 2 | 1992 | 181 | |
| 3 | 1992 | 102 | |
| 4 | 1991 | 83 | |
| 5 | 1991 | 83 | |
| 6 | 1993 | 60 | |
| 7 | 1991 | 57 | |
| 8 | 2021 | 49 | |
| 9 | 1987 | 47 | |
| 10 | 1991 | 46 | |
| 11 | 1989 | 44 | |
| 12 | Patterns of nonresponse in a national survey of elderly Japanese. | 1993 | 33 |
| 13 | 1988 | 25 | |
| 14 | 2021 | 15 | |
| 15 | 2023 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 8 | |
| 18 | 2015 | 8 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 3 |
About Gina Jay
Gina Jay is a scholar working on Health, Social Psychology, Demography, Neuropsychology and Physiological Psychology and Pathology and Forensic Medicine, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Health disparities and outcomes (7 papers), Psychological Well-being and Life Satisfaction (5 papers), Aging and Gerontology Research (3 papers), Retirement, Disability, and Employment (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Health and Well-being Studies (2 papers), Cognitive Abilities and Testing (2 papers) and Cancer survivorship and care (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (161 citations), Health (378 citations), General Health Professions (360 citations), Demography (181 citations) and Applied Psychology (50 citations). Gina Jay has collaborated with scholars based in United States, Vietnam and Japan. Frequent co-authors include Neal Krause, Sherry L. Willis, Jersey Liang, Jersey Liang, Manfred Diehl, Michael Marsiske, Roger C. Loeb, Anthony R. D’Augelli, Sean R. Smith and Daisaku Maeda. Their work appears in journals such as Research on Aging, Archives of Physical Medicine and Rehabilitation, Psychology and Aging, Developmental Psychology and Arthritis Care & Research.
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.