Jay Ginn

3.6k citations
73 papers · 2.7k · h-index 26

Impact in

Papers in

    • Retirement, Disability, and Employment 31
    • Migration, Aging, and Tourism Studies 15
    • Employment and Welfare Studies 25
    • Global Health Care Issues 9

Jay Ginn

66 papers receiving 2.3k citations

Peers

Jay Ginn
Comparison fields: 5 of 117
  • Neuropsychology and Physiological Psychology 237
  • Demography 1.1k
  • Health 441
  • General Health Professions 1.1k
  • Gender Studies 431
Replace Carroll L. Estes with:
Carroll L. Estes United States
Karsten Hank Germany
Susan A. McDaniel Canada
John C. Henretta United States
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Citations per field
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Citations per year

Countries citing papers authored by Jay Ginn

Since Specialization
Citations

This map shows the geographic impact of Jay Ginn'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 Ginn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Ginn more than expected).

Fields of papers citing papers by Jay Ginn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Ginn. 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 Ginn. The network helps show where Jay Ginn may publish in the future.

Co-authors

The 25 scholars most cited alongside Jay Ginn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Ginn Line = papers co-authored together Jay Ginn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996282
2
Gender and Later Life: A Sociological Analysis of Resources and Constraints
1991274
3 1993256
4
Gender and ageing changing roles and relationships
2003219
5 1996166
6
Women, work and pensions : international issues and prospects
2001104
7 199097
8 200791
9 197382
10 200374
11 200368
12 199366
13 199562
14 199959
15 199158
16 201250
17 200047
18 199646
19 199644
20 199736

About Jay Ginn

Jay Ginn is a scholar working on Demography, General Health Professions, Political Science and International Relations, Finance and Gender Studies, having authored 73 papers that have together received 2.7k indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (31 papers), Social Policy and Reform Studies (28 papers), Employment and Welfare Studies (25 papers), Migration, Aging, and Tourism Studies (15 papers), Intergenerational Family Dynamics and Caregiving (15 papers), Housing, Finance, and Neoliberalism (11 papers), Global Health Care Issues (9 papers) and Gender, Labor, and Family Dynamics (9 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (237 citations), Demography (1.1k citations), Health (441 citations), General Health Professions (1.1k citations) and Gender Studies (431 citations). Jay Ginn has collaborated with scholars based in United Kingdom, United States and Tanzania. Frequent co-authors include Sara Arber, Oriel Sullivan, Kate Davidson, Debra A. Street, Gregory K. Ingram, John F. Kain, Shirley Dex, Jill Rubery, Angela Dale and Janet E. Fast. Their work appears in journals such as Work Employment and Society, British Journal of Sociology, Ageing and Society, Critical Social Policy and Sociology.

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.

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