Ruth Chan

106 papers receiving 4.6k citations

Peers

Ruth Chan
Comparison fields: 5 of 131
  • Hepatology 596
  • Geriatrics and Gerontology 257
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Physiology 1.5k
  • Epidemiology 1.9k
Replace Hye Soon Park with:
Hye Soon Park South Korea
Meropi Kontogianni Greece
S. B. Heymsfield United States
Franco Contaldo Italy
Jean Tichet France
Daniel Bunout Chile
Jennifer L. Kuk Canada
Luca Busetto Italy
Catherine Itsiopoulos Australia
Jessica C. Kiefte–de Jong Netherlands
Ruth Chan relative to Hye Soon Park South Korea Hye Soon Park's profile →
Citations per field
00.5×3.7×
Hye Soon Park · 1×
Citations per year

Countries citing papers authored by Ruth Chan

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ruth Chan, 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 Ruth Chan Line = papers co-authored together Ruth Chan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011366
2 2010322
3 2013250
4 2015235
5 2014212
6 2018211
7 2014129
8 2014127
9 2018126
10 2017123
11 2016113
12 200697
13 201597
14 199396
15 201493
16 202189
17 201586
18 199586
19 201084
20 201377

About Ruth Chan

Ruth Chan is a scholar working on Public Health, Environmental and Occupational Health, Physiology, Epidemiology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 108 papers that have together received 4.7k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (41 papers), Nutrition and Health in Aging (22 papers), Obesity, Physical Activity, Diet (18 papers), Diet and metabolism studies (16 papers), Liver Disease Diagnosis and Treatment (15 papers), Diet, Metabolism, and Disease (13 papers), Bone health and osteoporosis research (12 papers) and Vitamin D Research Studies (8 papers). The work is most often cited by research in Hepatology (596 citations), Geriatrics and Gerontology (257 citations), Endocrinology, Diabetes and Metabolism (1.1k citations), Physiology (1.5k citations) and Epidemiology (1.9k citations). Ruth Chan has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Jean Woo, Jason Leung, Chiu‐Wing Winnie Chu, Henry Lik‐Yuen Chan, Grace Lai–Hung Wong, Vincent Wai‐Sun Wong, Angel Mei–Ling Chim, David Ka‐Wai Yeung, Mandy Man-Mei Sea and Timothy Kwok. Their work appears in journals such as The journal of nutrition health & aging, PLoS ONE, Journal of the American Medical Directors Association, Nutrients and International Journal of Environmental Research and Public Health.

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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