Li‐Ting Sheng

620 citations
18 papers · 412 · h-index 12

Impact in

Papers in

Li‐Ting Sheng

17 papers receiving 407 citations

Peers

Li‐Ting Sheng
Comparison fields: 5 of 77
  • Nephrology 35
  • Nutrition and Dietetics 75
  • Biochemistry 22
  • Public Health, Environmental and Occupational Health 76
  • Physiology 58
Replace Ryuzo Takaya with:
Ryuzo Takaya Japan
Zhong Liu China
Bartłomiej K. Sołtysik Poland
Catrin Herpich Germany
Michelle Louvaes Garcia Brazil
Anouk M.M. Vaes Netherlands
Jianwei Xu China
N Rollings United States
Tuong‐Vi Nguyen Australia
Lina Radzevičienė Lithuania
Li‐Ting Sheng relative to Ryuzo Takaya Japan Ryuzo Takaya's profile →
Citations per field
00.5×10.8×
Ryuzo Takaya · 1×
Citations per year

Countries citing papers authored by Li‐Ting Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Ting Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Ting Sheng. 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 Li‐Ting Sheng. The network helps show where Li‐Ting Sheng may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2022104
2 201964
3 201741
4 202034
5 202133
6 201923
7 202221
8 201920
9 202020
10 202016
11 202014
12 201912
13 20245
14 20242
15 20241
16 20221
17 20241
18 20250

About Li‐Ting Sheng

Li‐Ting Sheng is a scholar working on Public Health, Environmental and Occupational Health, Rheumatology, Nutrition and Dietetics, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 412 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (5 papers), Folate and B Vitamins Research (2 papers), Cancer, Lipids, and Metabolism (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Antioxidant Activity and Oxidative Stress (1 paper), Vitamin K Research Studies (1 paper), Osteoarthritis Treatment and Mechanisms (1 paper) and Fatty Acid Research and Health (1 paper). The work is most often cited by research in Nephrology (35 citations), Nutrition and Dietetics (75 citations), Biochemistry (22 citations), Public Health, Environmental and Occupational Health (76 citations) and Physiology (58 citations). Li‐Ting Sheng has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include An Pan, Woon‐Puay Koh, Lei Feng, Xiong‐Fei Pan, Heng‐Gui Chen, Jian‐Min Yuan, Yanbo Zhang, Hung N. Luu, Renwei Wang and Yi‐Chuan Yu. Their work appears in journals such as European Journal of Nutrition, The journal of nutrition health & aging, The Journals of Gerontology Series A, Frontiers in Pharmacology and Age and Ageing.

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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