Cheng‐Ching Wu

676 citations
37 papers · 452 · h-index 12

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 5
    • Fibroblast Growth Factor Research 2
    • Liver Disease Diagnosis and Treatment 4

Cheng‐Ching Wu

33 papers receiving 447 citations

Peers

Cheng‐Ching Wu
Comparison fields: 5 of 65
  • Nephrology 55
  • Cardiology and Cardiovascular Medicine 97
  • Endocrinology, Diabetes and Metabolism 49
  • Epidemiology 92
  • Biological Psychiatry 5
Replace Jingli Gao with:
Jingli Gao China
Ayami Kajiwara Japan
Sayaka Kadowaki Japan
Konstantinos Siamopoulos Greece
Cuma Bülent Gul Türkiye
Refik Demirtunç Türkiye
Takako Kikuchi Japan
Sing-Yu Yang Taiwan
Li-Fen Lu Taiwan
Maria Prastaro Italy
Cheng‐Ching Wu relative to Jingli Gao China Jingli Gao's profile →
Citations per field
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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 201778
2 202056
3 202042
4 201527
5 201124
6 201822
7 201620
8 201817
9 202116
10 202014
11 201612
12 202111
13 202310
14 202210
15 20189
16 20228
17 20198
18 20198
19 20186
20 20216

About Cheng‐Ching Wu

Cheng‐Ching Wu is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Nephrology and Pathology and Forensic Medicine, having authored 37 papers that have together received 452 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Alcohol Consumption and Health Effects (4 papers), Cardiovascular Function and Risk Factors (3 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Blood Pressure and Hypertension Studies (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Nephrology (55 citations), Cardiology and Cardiovascular Medicine (97 citations), Endocrinology, Diabetes and Metabolism (49 citations), Epidemiology (92 citations) and Biological Psychiatry (5 citations). Cheng‐Ching Wu has collaborated with scholars based in Taiwan, United States and China. 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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