Cheng‐Ching Wu

658 citations
37 papers · 424 · h-index 12

Impact in

Papers in

Cheng‐Ching Wu

33 papers receiving 421 citations

Peers

Cheng‐Ching Wu
Comparison fields: 5 of 74
  • Nephrology 69
  • Cardiology and Cardiovascular Medicine 157
  • Endocrinology, Diabetes and Metabolism 54
  • Epidemiology 102
  • Hepatology 23
Replace Eita Kumagai with:
Eita Kumagai Japan
Ayami Kajiwara Japan
Takahiro Yamaji Japan
Xiaoming Tao China
Shyh‐Ming Shieh Taiwan
Maria Prastaro Italy
Li-Fen Lu Taiwan
Nicola Vitturi Italy
Yume Nohara Japan
Yi-Tong Ma China
Cheng‐Ching Wu relative to Eita Kumagai Japan Eita Kumagai's profile →
Citations per field
00.5×3.7×
Eita Kumagai · 1×
Citations per year

Countries citing papers authored by Cheng‐Ching Wu

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Ching Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Ching Wu. 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 Cheng‐Ching Wu. The network helps show where Cheng‐Ching Wu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201777
2 202054
3 202034
4 201526
5 201822
6 201122
7 201619
8 201816
9 202114
10 202013
11 201611
12 202111
13 20189
14 20229
15 20238
16 20228
17 20197
18 20197
19 20216
20 20215

About Cheng‐Ching Wu

Cheng‐Ching Wu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Molecular Biology, Nephrology and Pathology and Forensic Medicine, having authored 37 papers that have together received 424 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Alcohol Consumption and Health Effects (5 papers), Cardiac Imaging and Diagnostics (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Blood Pressure and Hypertension Studies (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Nephrology (69 citations), Cardiology and Cardiovascular Medicine (157 citations), Endocrinology, Diabetes and Metabolism (54 citations), Epidemiology (102 citations) and Hepatology (23 citations). Cheng‐Ching Wu has collaborated with scholars based in Taiwan, United States and Czechia. Frequent co-authors include Wei‐Chin Hung, Fu‐Mei Chung, Yau‐Jiunn Lee, Teng‐Hung Yu, Yung‐Chuan Lu, I‐Ting Tsai, Chao-Ping Wang, Chia‐Chang Hsu, Weihua Tang and Chin‐Feng Hsuan. Their work appears in journals such as International Journal of Medical Sciences, Clinica Chimica Acta, BMC Cardiovascular Disorders, International Journal of Environmental Research and Public Health and Frontiers in Endocrinology.

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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