Chao‐Yu Guo

5.8k citations
109 papers · 3.6k indexed · h-index 32

Impact in

Papers in

Chao‐Yu Guo

103 papers receiving 3.5k citations

Peers

Chao‐Yu Guo
Comparison fields: 5 of 144
  • Nephrology 397
  • Cardiology and Cardiovascular Medicine 1.1k
  • Aging 76
  • Geriatrics and Gerontology 110
  • Endocrinology, Diabetes and Metabolism 457
Replace Joseph P. McConnell with:
Joseph P. McConnell United States
Bernhard M. W. Schmidt Germany
Alexios S. Antonopoulos Greece
James G. Terry United States
Vanessa Xanthakis United States
Byung‐Wan Lee South Korea
Georgios Georgiopoulos Greece
Tami L. Bair United States
Ruth Frikke‐Schmidt Denmark
Hisashi Adachi Japan
Chao‐Yu Guo relative to Joseph P. McConnell United States Joseph P. McConnell's profile →
Citations per field
00.5×2.5×
Joseph P. McConnell · 1×
Citations per year

Countries citing papers authored by Chao‐Yu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chao‐Yu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20241
5 20243
6 202317
7 20233
8 20205
9 20208
10 20201
11 20196
12 20197
13 201542
14 2010131
15 2010104
16 201034
17 200762
18 2007163
19 200643
20 2005134

About Chao‐Yu Guo

Chao‐Yu Guo is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Obstetrics and Gynecology, Family Practice and Reproductive Medicine, having authored 109 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Cardiovascular Function and Risk Factors (11 papers), Heart Failure Treatment and Management (10 papers), Blood Pressure and Hypertension Studies (9 papers), Cardiovascular Health and Disease Prevention (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Endometriosis Research and Treatment (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). The work is most often cited by research in Nephrology (397 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Aging (76 citations), Geriatrics and Gerontology (110 citations) and Endocrinology, Diabetes and Metabolism (457 citations). Chao‐Yu Guo has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Martin G. Larson, Emelia J. Benjamin, Daniel Levy, Ramachandran S. Vasan, Christopher J. O’Donnell, Caroline S. Fox, Ralph B. D’Agostino, Qiong Yang, L. Adrienne Cupples and John F. Keaney. Their work appears in journals such as PLoS ONE, Circulation, Scientific Reports, Journal of the American Heart Association and The American Journal of Cardiology.

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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