Tay McNamara

46 papers and 777 indexed citations i.

About

Tay McNamara is a scholar working on General Health Professions, Demography and Sociology and Political Science. According to data from OpenAlex, Tay McNamara has authored 46 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in General Health Professions, 16 papers in Demography and 11 papers in Sociology and Political Science. Recurrent topics in Tay McNamara’s work include Employment and Welfare Studies (16 papers), Retirement, Disability, and Employment (15 papers) and Prenatal Substance Exposure Effects (9 papers). Tay McNamara is often cited by papers focused on Employment and Welfare Studies (16 papers), Retirement, Disability, and Employment (15 papers) and Prenatal Substance Exposure Effects (9 papers). Tay McNamara collaborates with scholars based in United States, France and China. Tay McNamara's 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 Jacquelyn Boone James and has published in prestigious journals such as PLoS ONE, Cancer and American Journal of Public Health.

In The Last Decade

Co-authorship network of co-authors of Tay McNamara i

Fields of papers citing papers by Tay McNamara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tay McNamara

Since Specialization
Citations

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).

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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2025