Renzhe Cui

3.3k citations
124 papers · 2.4k · h-index 27

Impact in

Papers in

Renzhe Cui

123 papers receiving 2.4k citations

Peers

Renzhe Cui
Comparison fields: 5 of 130
  • Cardiology and Cardiovascular Medicine 770
  • Endocrinology, Diabetes and Metabolism 479
  • Physiology 412
  • Endocrine and Autonomic Systems 107
  • Public Health, Environmental and Occupational Health 437
Replace Apostolos Hatzitolios with:
Apostolos Hatzitolios Greece
Margaretha Persson Sweden
Masayo Fukuhara Japan
Koichi Kozaki Japan
Masahiko Kiyama Japan
Aya Higashiyama Japan
Tomoko Sankai Japan
Yoichiro Hirakawa Japan
Yimin Zhu China
Xiaoshu Cheng China
Renzhe Cui relative to Apostolos Hatzitolios Greece Apostolos Hatzitolios's profile →
Citations per field
00.5×1.5×2.2×
Apostolos Hatzitolios · 1×
Citations per year

Countries citing papers authored by Renzhe Cui

Since Specialization
Citations

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

Fields of papers citing papers by Renzhe Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 124 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007151
2 2005115
3 2006102
4 2010101
5 200882
6 200681
7 201475
8 201167
9 200962
10 200852
11 201251
12 200851
13 200848
14 201642
15 201342
16 201840
17 201134
18 201434
19 200333
20 201033

About Renzhe Cui

Renzhe Cui is a scholar working on Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 124 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (25 papers), Blood Pressure and Hypertension Studies (21 papers), Cardiovascular Health and Disease Prevention (19 papers), Sodium Intake and Health (10 papers), Cerebrovascular and Carotid Artery Diseases (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cardiovascular Disease and Adiposity (8 papers) and Alcohol Consumption and Health Effects (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (770 citations), Endocrinology, Diabetes and Metabolism (479 citations), Physiology (412 citations), Endocrine and Autonomic Systems (107 citations) and Public Health, Environmental and Occupational Health (437 citations). Renzhe Cui has collaborated with scholars based in Japan, India and United States. Frequent co-authors include Hiroyasu Iso, Kazumasa Yamagishi, Akiko Tamakoshi, Hironori Imano, Akihiko Kitamura, Takeshi Tanigawa, Masahiko Kiyama, Shogo Kikuchi, Chigusa Date and Tetsuya Ohira. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Atherosclerosis, Hypertension Research, Circulation Journal and Stroke.

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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