Tan Phat Pham
Impact in
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- Aging and Gerontology Research
- Demography top 5%
- Technology Use by Older Adults
Papers in
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- Aging and Gerontology Research 5
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- Psoriasis: Treatment and Pathogenesis 3
- Co-authors
- Yin‐Leng Theng (8 shared papers)Jinhui Li (6 shared papers)Charles T. Salmon (2 shared papers)Mika Luimula (2 shared papers)Niina Katajapuu (2 shared papers)Sally G. Haskell (2 shared papers)Jennifer S. McCall‐Hosenfeld (1 shared paper)Elizabeth M. Yano (1 shared paper)
- Journals
- Games for Health Journal (2 papers)Women s Health Issues (2 papers)Blood (1 paper)Innovation in Aging (1 paper)Journal of the American Academy of Dermatology (1 paper)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Tan Phat Pham
22 papers receiving 277 citations
Peers
Comparison fields: 5 of 73
- Neuropsychology and Physiological Psychology 43
- Demography 77
- Human-Computer Interaction 32
- Health 17
- Rehabilitation 12
Countries citing papers authored by Tan Phat Pham
This map shows the geographic impact of Tan Phat Pham'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 Tan Phat Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Phat Pham more than expected).
Fields of papers citing papers by Tan Phat Pham
This network shows the impact of papers produced by Tan Phat Pham. 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 Tan Phat Pham. The network helps show where Tan Phat Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Tan Phat Pham, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2012 | 42 | |
| 3 | 2017 | 35 | |
| 4 | 2011 | 23 | |
| 5 | 2019 | 21 | |
| 6 | 2019 | 17 | |
| 7 | 2017 | 16 | |
| 8 | 2012 | 15 | |
| 9 | 2014 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2018 | 10 | |
| 12 | 2023 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2017 | 3 | |
| 17 | 2010 | 3 | |
| 18 | 2017 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2019 | 1 |
About Tan Phat Pham
Tan Phat Pham is a scholar working on Neuropsychology and Physiological Psychology, Immunology, Demography, Computer Vision and Pattern Recognition and Hematology, having authored 22 papers that have together received 286 indexed citations. Recurring topics across this work include Technology Use by Older Adults (5 papers), Aging and Gerontology Research (5 papers), Psoriasis: Treatment and Pathogenesis (3 papers), Hemophilia Treatment and Research (2 papers), Context-Aware Activity Recognition Systems (2 papers), Physical Activity and Health (2 papers), Adolescent and Pediatric Healthcare (1 paper) and Psychological Well-being and Life Satisfaction (1 paper). The work is most often cited by research in Neuropsychology and Physiological Psychology (43 citations), Demography (77 citations), Human-Computer Interaction (32 citations), Health (17 citations) and Rehabilitation (12 citations). Tan Phat Pham has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Yin‐Leng Theng, Jinhui Li, Charles T. Salmon, Mika Luimula, Niina Katajapuu, Sally G. Haskell, Jennifer S. McCall‐Hosenfeld, Elizabeth M. Yano, Kristin Mattocks and Sonya Borrero. Their work appears in journals such as Games for Health Journal, Women s Health Issues, Blood, Innovation in Aging and Journal of the American Academy of Dermatology.
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.