Suh‐Ching Yang

2.3k citations
84 papers · 1.9k · h-index 25

Impact in

Papers in

Suh‐Ching Yang

83 papers receiving 1.8k citations

Peers

Suh‐Ching Yang
Comparison fields: 5 of 116
  • Physiology 109
  • Pathology and Forensic Medicine 356
  • Biochemistry 108
  • Nutrition and Dietetics 259
  • Pharmacology 126
Replace R. Saravanan with:
R. Saravanan United States
Rodrigo Marcon Brazil
Stephen S.M. Chung Hong Kong
Hui Xie China
Israel Pérez-Torres Mexico
Verónica Guarner‐Lans Mexico
Katarzyna Szkudelska Poland
Rolando Hernández‐Muñoz Mexico
Eun Kyeong Lee South Korea
Zhaofeng Zhang China
Suh‐Ching Yang relative to R. Saravanan United States R. Saravanan's profile →
Citations per field
00.5×2.9×
R. Saravanan · 1×
Citations per year

Countries citing papers authored by Suh‐Ching Yang

Since Specialization
Citations

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

Fields of papers citing papers by Suh‐Ching Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suh‐Ching Yang. 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 Suh‐Ching Yang. The network helps show where Suh‐Ching Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004155
2 1994145
3 200991
4 200565
5 201863
6 200260
7 201558
8 200557
9 200456
10 201153
11 200451
12 200750
13 201049
14 200748
15 200643
16 200339
17 200535
18 200833
19 200933
20 200432

About Suh‐Ching Yang

Suh‐Ching Yang is a scholar working on Pathology and Forensic Medicine, Physiology, Molecular Biology, Epidemiology and Nutrition and Dietetics, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Alcohol Consumption and Health Effects (21 papers), Diet and metabolism studies (14 papers), Liver Disease Diagnosis and Treatment (12 papers), Fatty Acid Research and Health (9 papers), Nutrition and Health in Aging (7 papers), Biochemical effects in animals (7 papers), Gut microbiota and health (6 papers) and Protein Hydrolysis and Bioactive Peptides (6 papers). The work is most often cited by research in Physiology (109 citations), Pathology and Forensic Medicine (356 citations), Biochemistry (108 citations), Nutrition and Dietetics (259 citations) and Pharmacology (126 citations). Suh‐Ching Yang has collaborated with scholars based in Taiwan, Japan and Indonesia. Frequent co-authors include Jiun-Rong Chen, Chi‐Chang Huang, Ya-Ling Chen, Hsiang-Chi Peng, Jiun‐Rong Chen, Hsin‐Yi Yang, Yi‐Wen Chien, D P Westfall, Dennis J. Cheek and Iain L. O. Buxton. Their work appears in journals such as Nutrients, Nutrition, The Journal of Nutritional Biochemistry, British Journal Of Nutrition and Alcohol.

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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