Tay McNamara
- General Health Professions top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Sociology and Political Science top 10%
- Demography top 2%
- Obstetrics and Gynecology top 5%
- Co-authors
- Marcie Pitt‐CatsouphesGrace ChangE. John OravLouise Wilkins‐HaugJohn B. WilliamsonMonique ValcourChristina Matz‐CostaMelissa Brown
- Topics
- Employment and Welfare Studies (19 papers)Retirement, Disability, and Employment (18 papers)Work-Family Balance Challenges (10 papers)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Tay McNamara
52 papers receiving 815 citations
Peers
Comparison fields: 5 of 95
- General Health Professions 361
- Pediatrics, Perinatology and Child Health 298
- Sociology and Political Science 196
- Demography 187
- Obstetrics and Gynecology 159
Countries citing papers authored by Tay McNamara
This map shows the geographic impact of Tay McNamara'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 Tay McNamara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tay McNamara more than expected).
Fields of papers citing papers by Tay McNamara
This network shows the impact of papers produced by Tay McNamara. 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 Tay McNamara. The network helps show where Tay McNamara may publish in the future.
Co-authorship network of co-authors of Tay McNamara
This figure shows the co-authorship network connecting the top 25 collaborators of Tay McNamara. A scholar is included among the top collaborators of Tay McNamara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tay McNamara. Tay McNamara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 38 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | Employer Policies for Dependent Care: The Role of Internal Demographics | 1 |
| 8 | 66 | |
| 9 | 21 | |
| 10 | A state of action: Creating opportunities for older workers | 1 |
| 11 | 6 | |
| 12 | 17 | |
| 13 | 2 | |
| 14 | 54 | |
| 15 | 21 | |
| 16 | 25 | |
| 17 | 168 | |
| 18 | 32 | |
| 19 | 29 | |
| 20 | 21 |
About Tay McNamara
Tay McNamara is a scholar working on Neuropsychology and Physiological Psychology, Demography and General Health Professions, having authored 53 papers that have together received 892 indexed citations. Recurring topics across this work include Employment and Welfare Studies (19 papers), Retirement, Disability, and Employment (18 papers) and Work-Family Balance Challenges (10 papers). The work is most often cited by research in Obstetrics and Gynecology (159 citations), Demography (187 citations) and Neuropsychology and Physiological Psychology (24 citations). Tay McNamara has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Marcie Pitt‐Catsouphes, Grace Chang, E. John Orav, Louise Wilkins‐Haug, John B. Williamson, Monique Valcour, Christina Matz‐Costa, Melissa Brown, Alyson Leah Lavigne and Kévin Cahill. Their work appears in journals such as PLoS ONE, Cancer and American Journal of Public Health.
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.