Jay Ginn

3.6k citations
56 papers · 2.4k · h-index 25

Impact in

Papers in

    • Retirement, Disability, and Employment 24
    • Migration, Aging, and Tourism Studies 11
    • Employment and Welfare Studies 19
    • Global Health Care Issues 7

Jay Ginn

56 papers receiving 2.1k citations

Peers

Jay Ginn
Comparison fields: 5 of 115
  • Neuropsychology and Physiological Psychology 206
  • Demography 954
  • Health 390
  • General Health Professions 944
  • Gender Studies 384
Replace Karsten Hank with:
Karsten Hank Germany
Karen Seccombe United States
Carroll L. Estes United States
John C. Henretta United States
Toni Calasanti United States
Eugene Litwak United States
W. Andrew Achenbaum United States
Paul Kingston United Kingdom
Anne H. Gauthier Netherlands
Tineke Fokkema Netherlands
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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 17 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996249
2 1993243
3
Gender and Later Life: A Sociological Analysis of Resources and Constraints
1991237
4
Gender and ageing: Changing roles and relationships
2003192
5 1996152
6
Women, work and pensions : international issues and prospects
200189
7 200789
8 199086
9 197377
10 199565
11 200365
12 200360
13 199359
14 199954
15 199154
16 201250
17 200044
18 199644
19 199642
20 199737

About Jay Ginn

Jay Ginn is a scholar working on Demography, General Health Professions, Political Science and International Relations, Sociology and Political Science and Finance, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Retirement, Disability, and Employment (24 papers), Social Policy and Reform Studies (23 papers), Employment and Welfare Studies (19 papers), Intergenerational Family Dynamics and Caregiving (13 papers), Housing, Finance, and Neoliberalism (11 papers), Migration, Aging, and Tourism Studies (11 papers), Global Health Care Issues (7 papers) and Gender, Labor, and Family Dynamics (7 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (206 citations), Demography (954 citations), Health (390 citations), General Health Professions (944 citations) and Gender Studies (384 citations). Jay Ginn has collaborated with scholars based in United Kingdom, United States and Ukraine. Frequent co-authors include Sara Arber, Oriel Sullivan, Kate Davidson, Debra Street, John F. Kain, Angela Dale, Jill Rubery, Shirley Dex, Debora Price and Janet Fast. Their work appears in journals such as Work Employment and Society, British Journal of Sociology, Ageing and Society, Sociology and Critical Social Policy.

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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