Mair Underwood
- Sociology and Political Science top 10%
- Endocrinology, Diabetes and Metabolism
- Clinical Psychology
- Epidemiology
- Social Psychology
- Co-authors
- Katinka van de VenMatthew DunnDavid MetzWayne HallValeria VareaNaomi SmithRebecca WickesBrad Partridge
- Topics
- Aging and Gerontology Research (4 papers)Gender, Feminism, and Media (3 papers)Doping in Sports (3 papers)
- Journals
- Annals of the New York Academy of SciencesSocial Science & MedicineQualitative Health Research
- Partner nations
- AustraliaIndonesiaUnited States
In The Last Decade
Mair Underwood
23 papers receiving 338 citations
Peers
Comparison fields: 5 of 89
- Sociology and Political Science 146
- Endocrinology, Diabetes and Metabolism 92
- Clinical Psychology 89
- Epidemiology 38
- Social Psychology 37
Countries citing papers authored by Mair Underwood
This map shows the geographic impact of Mair Underwood'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 Mair Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mair Underwood more than expected).
Fields of papers citing papers by Mair Underwood
This network shows the impact of papers produced by Mair Underwood. 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 Mair Underwood. The network helps show where Mair Underwood may publish in the future.
Co-authorship network of co-authors of Mair Underwood
This figure shows the co-authorship network connecting the top 25 collaborators of Mair Underwood. A scholar is included among the top collaborators of Mair Underwood 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 Mair Underwood. Mair Underwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 27 | |
| 5 | 15 | |
| 6 | 31 | |
| 7 | 23 | |
| 8 | "SLIN IS THE SAFEST AND MOST ANABOLIC HORMONE": EXPLORING BODYBUILDERS' USE OF INSULIN AS A PERFORMANCE AND IMAGE ENHANCING DRUG | 1 |
| 9 | 77 | |
| 10 | 24 | |
| 11 | 3 | |
| 12 | 3 | |
| 13 | 31 | |
| 14 | 25 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | 4 | |
| 19 | Older, Richer, Fitter: Identifying the Customer Needs of Britain's Ageing Population | 23 |
| 20 | 1 |
About Mair Underwood
Mair Underwood is a scholar working on Neuropsychology and Physiological Psychology, Aging and Health, having authored 25 papers that have together received 353 indexed citations. Recurring topics across this work include Aging and Gerontology Research (4 papers), Gender, Feminism, and Media (3 papers) and Doping in Sports (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (21 citations), Aging (18 citations) and Endocrinology, Diabetes and Metabolism (92 citations). Mair Underwood has collaborated with scholars based in Australia, Indonesia and United States. Frequent co-authors include Katinka van de Ven, Matthew Dunn, David Metz, Wayne Hall, Valeria Varea, Naomi Smith, Rebecca Wickes, Brad Partridge, Jayne Lucke and Rebecca E. Olson. Their work appears in journals such as Annals of the New York Academy of Sciences, Social Science & Medicine and Qualitative Health Research.
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.