Cai‐Guo Yu

445 citations
30 papers · 311 · h-index 11

Impact in

Papers in

Cai‐Guo Yu

29 papers receiving 306 citations

Peers

Cai‐Guo Yu
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 101
  • Cardiology and Cardiovascular Medicine 83
  • Health, Toxicology and Mutagenesis 41
  • Nephrology 18
  • Ophthalmology 21
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Kalle Sipilä Finland
Honglin Hu China
Maximiliano Martín Argentina
Remzi Abalı Türkiye
Yanjiao Wang China
Ayaka Tsuboi Japan
Jeanette Kuhl Sweden
Ionela Mihaela Vladu Romania
Merve Ergin Türkiye
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Citations per year

Countries citing papers authored by Cai‐Guo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cai‐Guo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cai‐Guo Yu. 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 Cai‐Guo Yu. The network helps show where Cai‐Guo Yu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201532
2 201631
3 201627
4
Evaluation of neck circumference as a predictor of central obesity and insulin resistance in Chinese adults.
201523
5 201622
6 201721
7 201817
8
The Association Between Fecal Short-Chain Fatty Acids, Gut Microbiota, and Visceral Fat in Monozygotic Twin Pairs
202215
9 201714
10 201912
11 202010
12 20198
13 20188
14 20197
15 20227
16 20207
17 20197
18 20216
19 20205
20 20195

About Cai‐Guo Yu

Cai‐Guo Yu is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Health, Toxicology and Mutagenesis, Molecular Biology and Surgery, having authored 30 papers that have together received 311 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Heavy Metal Exposure and Toxicity (6 papers), Lipid metabolism and disorders (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cardiovascular Health and Disease Prevention (4 papers), Air Quality and Health Impacts (4 papers), Blood Pressure and Hypertension Studies (3 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (101 citations), Cardiology and Cardiovascular Medicine (83 citations), Health, Toxicology and Mutagenesis (41 citations), Nephrology (18 citations) and Ophthalmology (21 citations). Cai‐Guo Yu has collaborated with scholars based in China, Belgium and Netherlands. Frequent co-authors include Yingmei Feng, Jan A. Staessen, Lutgarde Thijs, Xuhong Wang, Longyan Yang, Dong Zhao, Dong Zhao, Zhen‐Yu Zhang, Ning Zhang and Fang‐Fei Wei. Their work appears in journals such as Hypertension, Journal of the American Heart Association, Scandinavian Journal of Work Environment & Health, Blood Pressure and Diabetology & Metabolic Syndrome.

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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