Ya‐Hui Chang

94 papers receiving 2.7k citations

Peers

Ya‐Hui Chang
Comparison fields: 5 of 167
  • Radiological and Ultrasound Technology 99
  • Cancer Research 207
  • Statistics, Probability and Uncertainty 110
  • Orthopedics and Sports Medicine 106
  • Endocrinology, Diabetes and Metabolism 168
Replace Markku Nurminen with:
Markku Nurminen Finland
Hubert Wong Canada
Tatsuhiko Kubo Japan
Gerarda Darlington Canada
Pablo Martínez‐Camblor Spain
James A. Russell Canada
Judy Bradley United Kingdom
Muhittin A. Serdar Türkiye
Rachel Riera Brazil
Roger L. Priore United States
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Citations per year

Countries citing papers authored by Ya‐Hui Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Hui Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ya‐Hui Chang. 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 Ya‐Hui Chang. The network helps show where Ya‐Hui Chang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009347
2 2009216
3 2000173
4 2012162
5 2005143
6 2003130
7 2018114
8 201598
9
Elderly Nutrition and Health Survey in Taiwan (1999-2000): research design, methodology and content.
200579
10 200671
11 199956
12 201854
13 200253
14 199951
15
Prevalence of dyslipidemia and mean blood lipid values in Taiwan: results from the Nutrition and Health Survey in Taiwan (NAHSIT, 1993-1996).
200245
16 201443
17 201437
18 200436
19 201436
20 200334

About Ya‐Hui Chang

Ya‐Hui Chang is a scholar working on Public Health, Environmental and Occupational Health, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 103 papers that have together received 2.8k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Pregnancy-related medical research (5 papers), Diabetes Management and Research (5 papers), Hepatitis B Virus Studies (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Pancreatitis Pathology and Treatment (4 papers), Hepatitis C virus research (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Radiological and Ultrasound Technology (99 citations), Cancer Research (207 citations), Statistics, Probability and Uncertainty (110 citations), Orthopedics and Sports Medicine (106 citations) and Endocrinology, Diabetes and Metabolism (168 citations). Ya‐Hui Chang has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Chung‐Yi Li, Ali Mosleh, Chin‐Li Lu, Shih-Feng Tsai, Wen‐Harn Pan, Yu Sun, Hua-Fen Chen, Dar‐In Tai, Sun‐Lung Tsai and Huifang Su. Their work appears in journals such as Medicine, Scientific Reports, International Journal of Environmental Research and Public Health, PLoS ONE and Journal of Biomedical Science.

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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