Mai Stafford
- Health top 0.05%
- General Health Professions top 0.2%
- Sociology and Political Science top 0.5%
- Clinical Psychology top 1%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Michael MarmotLaia BécaresTarani ChandolaJames NazrooStephen StansfeldMeena KumariMarcus RichardsHarry Hemingway
- Topics
- Health disparities and outcomes (84 papers)Employment and Welfare Studies (28 papers)Retirement, Disability, and Employment (16 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Mai Stafford
139 papers receiving 7.7k citations
Peers
Comparison fields: 5 of 176
- Health 3.0k
- General Health Professions 2.7k
- Sociology and Political Science 1.8k
- Clinical Psychology 1.3k
- Public Health, Environmental and Occupational Health 968
Countries citing papers authored by Mai Stafford
This map shows the geographic impact of Mai Stafford'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 Mai Stafford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Stafford more than expected).
Fields of papers citing papers by Mai Stafford
This network shows the impact of papers produced by Mai Stafford. 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 Mai Stafford. The network helps show where Mai Stafford may publish in the future.
Co-authorship network of co-authors of Mai Stafford
This figure shows the co-authorship network connecting the top 25 collaborators of Mai Stafford. A scholar is included among the top collaborators of Mai Stafford 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 Mai Stafford. Mai Stafford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 19 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 278 | |
| 14 | 40 | |
| 15 | 155 | |
| 16 | 50 | |
| 17 | 185 | |
| 18 | Work, stress and health: the Whitehall II Study | 31 |
| 19 | 55 | |
| 20 | 52 |
About Mai Stafford
Mai Stafford is a scholar working on Health, Neuropsychology and Physiological Psychology and General Health Professions, having authored 141 papers that have together received 8.1k indexed citations. Recurring topics across this work include Health disparities and outcomes (84 papers), Employment and Welfare Studies (28 papers) and Retirement, Disability, and Employment (16 papers). The work is most often cited by research in Health (3.0k citations), Neuropsychology and Physiological Psychology (174 citations) and General Health Professions (2.7k citations). Mai Stafford has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Michael Marmot, Laia Bécares, Tarani Chandola, James Nazroo, Stephen Stansfeld, Meena Kumari, Marcus Richards, Harry Hemingway, Mika Kivimäki and Martin J. Shipley. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.