Gina Jay
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- Aging and Gerontology Research 3
- Health top 1%
- Health disparities and outcomes 7
- General Health Professions top 2%
- Health Policy Implementation Science 3
- Demography top 2%
- Retirement, Disability, and Employment 3
- Applied Psychology top 10%
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- Psychological Well-being and Life Satisfaction 5
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- Cancer survivorship and care 4
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- Management of metastatic bone disease 3
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- Health and Well-being Studies 2
- Co-authors
- Neal KrauseSherry L. WillisJersey LiangMichael MarsiskeManfred DiehlRoger C. LoebAnthony R. D’AugelliSean R. Smith
- Journals
- Research on Aging (2 papers)Archives of Physical Medicine and Rehabilitation (2 papers)Psychology and Aging (2 papers)
- Partner nations
- United StatesAustraliaVietnam
In The Last Decade
Gina Jay
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Neuropsychology and Physiological Psychology 199
- Health 560
- General Health Professions 548
- Demography 217
- Applied Psychology 69
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 9 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 8 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 48 | |
| 12 | 2020 | 3 | |
| 13 | 2015 | 8 | |
| 14 | What Do Global Self-Rated Health Items Measure?breakdown → | 1994 | 574 |
| 15 | 1993 | 61 | |
| 16 | Patterns of nonresponse in a national survey of elderly Japanese. | 1993 | 34 |
| 17 | 1992 | 181 | |
| 18 | 1992 | 102 | |
| 19 | 1991 | 84 | |
| 20 | 1991 | 57 |
About Gina Jay
Gina Jay is a scholar working on Neuropsychology and Physiological Psychology, Health, Demography, Social Psychology and Experimental and Cognitive Psychology, 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), Cancer survivorship and care (4 papers), Health Policy Implementation Science (3 papers), Aging and Gerontology Research (3 papers), Management of metastatic bone disease (3 papers), Retirement, Disability, and Employment (3 papers) and Health and Well-being Studies (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (199 citations), Health (560 citations), General Health Professions (548 citations), Demography (217 citations) and Applied Psychology (69 citations). Gina Jay has collaborated with scholars based in United States, Australia and Vietnam. Frequent co-authors include Neal Krause, Sherry L. Willis, Jersey Liang, Jersey Liang, Michael Marsiske, Manfred Diehl, Roger C. Loeb, Anthony R. D’Augelli, Sean R. Smith and Linda M. Goldenhar. Their work appears in journals such as Research on Aging, Archives of Physical Medicine and Rehabilitation, Psychology and Aging, Developmental Psychology and Cancer.
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.