Ruby S. M. Tsang
Impact in
-
- Aging and Gerontology Research
-
- Tryptophan and brain disorders
Papers in ⓘ
-
- Tryptophan and brain disorders 3
- Co-authors
- Perminder S. Sachdev (2 shared papers)Karen A. Mather (2 shared papers)Simone Reppermund (2 shared papers)John Gallacher (2 shared papers)Sarah Bauermeister (2 shared papers)Loren Mowszowski (1 shared paper)Keri Diamond (1 shared paper)Simon J.G. Lewis (1 shared paper)
- Journals
- SpringerPlus (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)Aging & Mental Health (1 paper)Vaccine (1 paper)Nature Communications (1 paper)
- Partner nations
- United KingdomAustraliaQatar
In The Last Decade
Ruby S. M. Tsang
18 papers receiving 157 citations
Peers
Comparison fields: 5 of 63
- Neuropsychology and Physiological Psychology 11
- Biological Psychiatry 15
- Health 45
- Psychiatry and Mental health 48
- Geriatrics and Gerontology 12
Countries citing papers authored by Ruby S. M. Tsang
This map shows the geographic impact of Ruby S. M. Tsang'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 Ruby S. M. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby S. M. Tsang more than expected).
Fields of papers citing papers by Ruby S. M. Tsang
This network shows the impact of papers produced by Ruby S. M. Tsang. 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 Ruby S. M. Tsang. The network helps show where Ruby S. M. Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby S. M. Tsang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 36 | |
| 2 | 2012 | 18 | |
| 3 | 2013 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2017 | 13 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2020 | 7 | |
| 9 | 2023 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 3 | |
| 14 | 2023 | 3 | |
| 15 | 2021 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | Interim findings from first dose mass COVID-19 vaccination roll-out and COVID-19 hospitalisations in Scotland: National prospective cohort study of 5.4 million people | 2021 | 1 |
| 19 | 2025 | 0 |
About Ruby S. M. Tsang
Ruby S. M. Tsang is a scholar working on Biological Psychiatry, Neuropsychology and Physiological Psychology, Health, Aging and Behavioral Neuroscience, having authored 19 papers that have together received 161 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Tryptophan and brain disorders (3 papers), Vaccine Coverage and Hesitancy (3 papers), Dementia and Cognitive Impairment Research (3 papers), Health, Environment, Cognitive Aging (3 papers), Influenza Virus Research Studies (2 papers), Intergenerational Family Dynamics and Caregiving (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (11 citations), Biological Psychiatry (15 citations), Health (45 citations), Psychiatry and Mental health (48 citations) and Geriatrics and Gerontology (12 citations). Ruby S. M. Tsang has collaborated with scholars based in United Kingdom, Australia and Qatar. Frequent co-authors include Perminder S. Sachdev, Karen A. Mather, Simone Reppermund, John Gallacher, Sarah Bauermeister, Loren Mowszowski, Keri Diamond, Simon J.G. Lewis, Sharon L. Naismith and Simon de Lusignan. Their work appears in journals such as SpringerPlus, Neuroscience & Biobehavioral Reviews, Aging & Mental Health, Vaccine and Nature Communications.
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.