Satupaitea Viali
- Genetics top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Physiology
- Co-authors
- Stephen T. McGarveyJohn TuiteleDaniel E. WeeksRanjan DekaGuangyun SunNicola L. HawleyRyan L. MinsterHong Cheng
- Topics
- Genetic Associations and Epidemiology (11 papers)Obesity, Physical Activity, Diet (8 papers)Parasitic Diseases Research and Treatment (6 papers)
- Cited by
- GeneticsEndocrinology, Diabetes and MetabolismPublic Health, Environmental and Occupational Health
- Partner nations
- SamoaUnited StatesAustralia
In The Last Decade
Satupaitea Viali
37 papers receiving 806 citations
Peers
Comparison fields: 5 of 103
- Genetics 224
- Molecular Biology 218
- Public Health, Environmental and Occupational Health 209
- Endocrinology, Diabetes and Metabolism 120
- Physiology 117
Countries citing papers authored by Satupaitea Viali
This map shows the geographic impact of Satupaitea Viali'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 Satupaitea Viali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satupaitea Viali more than expected).
Fields of papers citing papers by Satupaitea Viali
This network shows the impact of papers produced by Satupaitea Viali. 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 Satupaitea Viali. The network helps show where Satupaitea Viali may publish in the future.
Co-authorship network of co-authors of Satupaitea Viali
This figure shows the co-authorship network connecting the top 25 collaborators of Satupaitea Viali. A scholar is included among the top collaborators of Satupaitea Viali 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 Satupaitea Viali. Satupaitea Viali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 6 | |
| 15 | 19 | |
| 16 | 18 | |
| 17 | 22 | |
| 18 | 10 | |
| 19 | 41 | |
| 20 | 17 |
About Satupaitea Viali
Satupaitea Viali is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Genetics, having authored 47 papers that have together received 827 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Obesity, Physical Activity, Diet (8 papers) and Parasitic Diseases Research and Treatment (6 papers). The work is most often cited by research in Genetics (224 citations), Endocrinology, Diabetes and Metabolism (120 citations) and Public Health, Environmental and Occupational Health (209 citations). Satupaitea Viali has collaborated with scholars based in Samoa, United States and Australia. Frequent co-authors include Stephen T. McGarvey, John Tuitele, Daniel E. Weeks, Ranjan Deka, Guangyun Sun, Nicola L. Hawley, Ryan L. Minster, Hong Cheng, Muagututi‘a Sefuiva Reupena and Amara E. Ezeamama. Their work appears in journals such as Nature Genetics, PLoS ONE and Scientific Reports.
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.