Ruby Yu

108 papers receiving 4.5k citations

Ruby Yu's Hit Papers

Reprogramming human T cell function and specificity with non-viral genome targeting 2018 · 650 citations
6500+2+5Years since publication200400600

Peers

Ruby Yu
Comparison fields: 5 of 149
  • Geriatrics and Gerontology 729
  • Health 302
  • Physiology 811
  • Neuropsychology and Physiological Psychology 45
  • Oncology 630
Replace Tamara B. Harris with:
Tamara B. Harris United States
Juulia Jylhävä Finland
Roman Smolarczyk Poland
Benjamin Hon Kei Yip Hong Kong
Karen Davies United Kingdom
Robert T. Walton United Kingdom
Jodi Lapidus United States
Benoît Lepage France
Bonnielin K. Swenor United States
Kelley Pettee Gabriel United States
Ruby Yu relative to Tamara B. Harris United States Tamara B. Harris's profile →
Citations per field
00.5×2×3×4×4.5×
Tamara B. Harris · 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 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reprogramming human T cell function and specificity with non-viral genome targeting
Hit paper breakdown →
2018650
2 2015297
3 2020226
4 2014157
5 2020149
6 2014147
7 2022139
8 2015114
9 201891
10 201790
11 201784
12 201872
13 201972
14 201470
15 201770
16 201870
17 201868
18 201667
19 202067
20 201764

About Ruby Yu

Ruby Yu is a scholar working on Geriatrics and Gerontology, Physiology, Health, Health, Toxicology and Mutagenesis and Neuropsychology and Physiological Psychology, having authored 113 papers that have together received 4.6k indexed citations. Recurring topics across this work include Frailty in Older Adults (23 papers), Nutrition and Health in Aging (15 papers), Health disparities and outcomes (10 papers), Urban Green Space and Health (7 papers), Dementia and Cognitive Impairment Research (6 papers), Physical Activity and Health (5 papers), CAR-T cell therapy research (4 papers) and Nutritional Studies and Diet (4 papers). The work is most often cited by research in Geriatrics and Gerontology (729 citations), Health (302 citations), Physiology (811 citations), Neuropsychology and Physiological Psychology (45 citations) and Oncology (630 citations). Ruby Yu has collaborated with scholars based in Hong Kong, China and United States. 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, Cecilia Tong, Kevin Ka‐Lun Lau and Christopher Lum. 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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