Wei Piao

598 citations
41 papers · 384 · h-index 10

Impact in

Papers in

Wei Piao

40 papers receiving 378 citations

Peers

Wei Piao
Comparison fields: 5 of 84
  • Nephrology 80
  • Endocrinology, Diabetes and Metabolism 64
  • Public Health, Environmental and Occupational Health 109
  • Nutrition and Dietetics 47
  • Pathology and Forensic Medicine 52
Replace Yingli Fan with:
Yingli Fan China
Mina Hayama‐Terada Japan
F.P.C. Sijtsma Netherlands
Kunquan Guo China
Kwang‐Min Kim South Korea
О. P. Rotar Russia
Alireza Sadeghi Iran
Ioanna Papaioannou Greece
Lisanne Tap Netherlands
Sara Nejatinamini Canada
Wei Piao relative to Yingli Fan China Yingli Fan's profile →
Citations per field
00.5×3.3×
Yingli Fan · 1×
Citations per year

Countries citing papers authored by Wei Piao

Since Specialization
Citations

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

Fields of papers citing papers by Wei Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021120
2 202260
3 202222
4 202214
5 202312
6 202210
7 202210
8 202210
9 20219
10 20219
11 20168
12 20228
13 20237
14 20227
15 20226
16 20186
17 20235
18 20225
19 20195
20 20225

About Wei Piao

Wei Piao is a scholar working on Public Health, Environmental and Occupational Health, Nutrition and Dietetics, Pediatrics, Perinatology and Child Health, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 384 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (17 papers), Obesity, Physical Activity, Diet (8 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Child Nutrition and Water Access (4 papers), Sodium Intake and Health (4 papers), Consumer Attitudes and Food Labeling (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Nephrology (80 citations), Endocrinology, Diabetes and Metabolism (64 citations), Public Health, Environmental and Occupational Health (109 citations), Nutrition and Dietetics (47 citations) and Pathology and Forensic Medicine (52 citations). Wei Piao has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Liyun Zhao, Dongmei Yu, Lahong Ju, Hongyun Fang, Yuxiang Yang, Yaru Li, Xiang Qian Lao, Yacong Bo, Qiya Guo and Xiaoli Xu. Their work appears in journals such as Nutrients, China CDC Weekly, Plant Signaling & Behavior, Scientific Reports and Birth Defects Research Part A Clinical and Molecular Teratology.

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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