Ruby Yu

97 papers receiving 3.2k citations

Peers

Ruby Yu
Comparison fields: 5 of 122
  • Geriatrics and Gerontology 931
  • Physiology 727
  • Neuropsychology and Physiological Psychology 64
  • Health 175
  • Transportation 110
Replace Yu Taniguchi with:
Yu Taniguchi Japan
Ma Shwe Zin Nyunt Singapore
Shaun Scholes United Kingdom
Yisong Hu China
Rosanne Freak‐Poli Australia
Jill Hardt Canada
Keng Bee Yap Singapore
M. Hopman-Rock Netherlands
Kimiko Tomioka Japan
Marie‐France Dubois Canada
Ruby Yu relative to Yu Taniguchi Japan Yu Taniguchi's profile →
Citations per field
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Yu Taniguchi · 1×
Citations per year

Countries citing papers authored by Ruby Yu

Since Specialization
Citations

This map shows the geographic impact of Ruby Yu'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 Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby Yu more than expected).

Fields of papers citing papers by Ruby Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby Yu. 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 Yu. The network helps show where Ruby Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruby Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ruby Yu Line = papers co-authored together Ruby Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015296
2 2014160
3 2014147
4 2015116
5 201793
6 201785
7 201873
8 201973
9 201771
10 201470
11 201870
12 201868
13 201667
14 201765
15 202165
16 201864
17 201163
18 201260
19 201652
20 201852

About Ruby Yu

Ruby Yu is a scholar working on Geriatrics and Gerontology, Physiology, Health, Public Health, Environmental and Occupational Health and Psychiatry and Mental health, having authored 102 papers that have together received 3.2k indexed citations. Recurring topics across this work include Frailty in Older Adults (31 papers), Aging, Health, and Disability (16 papers), Nutrition and Health in Aging (13 papers), Dementia and Cognitive Impairment Research (11 papers), Health disparities and outcomes (10 papers), Physical Activity and Health (8 papers), Aging, Elder Care, and Social Issues (6 papers) and Menopause: Health Impacts and Treatments (5 papers). The work is most often cited by research in Geriatrics and Gerontology (931 citations), Physiology (727 citations), Neuropsychology and Physiological Psychology (64 citations), Health (175 citations) and Transportation (110 citations). Ruby Yu has collaborated with scholars based in Hong Kong, China and Australia. Frequent co-authors include Jean Woo, Jason Chi Shun Leung, Moses Wong, Timothy C. Y. Kwok, Martin M. H. Wong, Fannie Yeung, Suzanne C. Ho, Kevin Ka‐Lun Lau, Christopher Lum and Tung Wai Auyeung. Their work appears in journals such as The journal of nutrition health & aging, International Journal of Environmental Research and Public Health, Journal of the American Medical Directors Association, Maturitas and Menopause The Journal of The North American Menopause Society.

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.

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