Chao Chu

1.8k citations
76 papers · 774 · h-index 17

Impact in

Papers in

Chao Chu

68 papers receiving 768 citations

Peers

Chao Chu
Comparison fields: 5 of 100
  • Nephrology 124
  • Cardiology and Cardiovascular Medicine 212
  • Nutrition and Dietetics 133
  • Endocrinology, Diabetes and Metabolism 87
  • Public Health, Environmental and Occupational Health 74
Replace Graciela E. Delgado with:
Graciela E. Delgado Germany
Deborah Anzalone United States
Cinzia Lombardi Italy
Eleni Geladari Greece
Henry Punzi United States
Wan Nazaimoon Wan Mohamud Malaysia
Ajith Dissanayake New Zealand
Koen W. Streng Netherlands
Yıldız Atamer Türkiye
Brendan Agatisa-Boyle United States
Chao Chu relative to Graciela E. Delgado Germany Graciela E. Delgado's profile →
Citations per field
00.5×2.6×
Graciela E. Delgado · 1×
Citations per year

Countries citing papers authored by Chao Chu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201860
2 202252
3 201736
4 202033
5 201631
6 201928
7 201728
8 201625
9 201223
10 201822
11 201420
12 201819
13 201819
14 201718
15 202018
16 202317
17 202016
18 202015
19
Correlation of microRNA profiles with disease risk and severity of allergic rhinitis.
201814
20 201814

About Chao Chu

Chao Chu is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics, Nephrology, Molecular Biology and Surgery, having authored 76 papers that have together received 774 indexed citations. Recurring topics across this work include Sodium Intake and Health (13 papers), Blood Pressure and Hypertension Studies (12 papers), Cardiovascular Health and Disease Prevention (12 papers), Chronic Kidney Disease and Diabetes (6 papers), Microbial metabolism and enzyme function (6 papers), Gout, Hyperuricemia, Uric Acid (5 papers), Hormonal Regulation and Hypertension (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Nephrology (124 citations), Cardiology and Cardiovascular Medicine (212 citations), Nutrition and Dietetics (133 citations), Endocrinology, Diabetes and Metabolism (87 citations) and Public Health, Environmental and Occupational Health (74 citations). Chao Chu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Jianjun Mu, Jiawen Hu, Wenling Zheng, Yu Yan, Qiong Ma, Zuyi Yuan, Yue‐Yuan Liao, Yang Wang, Keke Wang and Yue Yuan. Their work appears in journals such as Journal of Hypertension, Journal of Clinical Hypertension, Hypertension Research, Kidney & Blood Pressure Research and Frontiers in Cardiovascular Medicine.

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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