Yingting Zuo

3.0k citations
86 papers · 1.4k · h-index 17

Impact in

Papers in

Yingting Zuo

81 papers receiving 1.4k citations

Peers

Yingting Zuo
Comparison fields: 5 of 94
  • Nephrology 136
  • Endocrinology, Diabetes and Metabolism 309
  • Cardiology and Cardiovascular Medicine 245
  • Epidemiology 171
  • Internal Medicine 15
Replace Sadanori Okada with:
Sadanori Okada Japan
Dearbhla Kelly United Kingdom
Penglian Wang China
Yumiko Iwamoto Japan
Jen‐Kuang Lee Taiwan
L. K. Stevens United Kingdom
Noritaka Fujimura Japan
Anke Kulschewski Germany
Naomi Idei Japan
Yingting Zuo relative to Sadanori Okada Japan Sadanori Okada's profile →
Citations per field
00.5×
Sadanori Okada · 1×
Citations per year

Countries citing papers authored by Yingting Zuo

Since Specialization
Citations

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

Fields of papers citing papers by Yingting Zuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021145
2 2021118
3 2021105
4 2022104
5 202268
6 202059
7 202144
8 200438
9 202136
10 202134
11 202032
12 202330
13 202325
14 202225
15 202023
16 202020
17 202218
18 202416
19 202116
20 202016

About Yingting Zuo

Yingting Zuo is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Epidemiology and Surgery, having authored 86 papers that have together received 1.4k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (13 papers), Gout, Hyperuricemia, Uric Acid (8 papers), Cardiovascular Health and Disease Prevention (7 papers), Blood Pressure and Hypertension Studies (6 papers), Acute Ischemic Stroke Management (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Chronic Kidney Disease and Diabetes (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Nephrology (136 citations), Endocrinology, Diabetes and Metabolism (309 citations), Cardiology and Cardiovascular Medicine (245 citations), Epidemiology (171 citations) and Internal Medicine (15 citations). Yingting Zuo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouling Wu, Shuohua Chen, Anxin Wang, Xue Tian, Anxin Wang, Yongjun Wang, Xue Tian, Qian Liu, Boni Tao and Xia Meng. Their work appears in journals such as Nutrition Metabolism and Cardiovascular Diseases, Cardiovascular Diabetology, Stroke and Vascular Neurology, Journal of the American Heart Association 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.

Explore authors with similar magnitude of impact