Chao-Ping Wang

1.4k citations
64 papers · 1.1k · h-index 20

Impact in

Papers in

    • Natural product bioactivities and synthesis 4
    • Peroxisome Proliferator-Activated Receptors 3
    • Adipokines, Inflammation, and Metabolic Diseases 11

Chao-Ping Wang

57 papers receiving 1.1k citations

Peers

Chao-Ping Wang
Comparison fields: 5 of 107
  • Nephrology 143
  • Cardiology and Cardiovascular Medicine 230
  • Epidemiology 226
  • Geriatrics and Gerontology 20
  • Transportation 41
Replace Ying Yu with:
Ying Yu China
Raffaele Galiero Italy
Nanfang Li China
Santos Casado Spain
Deodato Assanelli Italy
Stefanos Roumeliotis Greece
Daniela Maria Tănase Romania
Xinhui Liu China
Te‐Chao Fang Taiwan
Agata L. Gava Brazil
Chao-Ping Wang relative to Ying Yu China Ying Yu's profile →
Citations per field
00.5×3.9×
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Citations per year

Countries citing papers authored by Chao-Ping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Ping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Ping Wang. 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-Ping Wang. The network helps show where Chao-Ping Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200397
2 201777
3 201065
4 201064
5 200960
6 202056
7 201343
8 202040
9 201734
10 201633
11 201131
12 201425
13 201423
14 201223
15 201723
16 201822
17 201621
18 201520
19 201620
20 201619

About Chao-Ping Wang

Chao-Ping Wang is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Surgery and Nephrology, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (11 papers), Cardiovascular Disease and Adiposity (6 papers), Natural product bioactivities and synthesis (4 papers), Evacuation and Crowd Dynamics (3 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Traffic Prediction and Management Techniques (3 papers). The work is most often cited by research in Nephrology (143 citations), Cardiology and Cardiovascular Medicine (230 citations), Epidemiology (226 citations), Geriatrics and Gerontology (20 citations) and Transportation (41 citations). Chao-Ping Wang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Fu‐Mei Chung, Wei‐Chin Hung, Yau‐Jiunn Lee, Teng‐Hung Yu, I‐Ting Tsai, Yung‐Chuan Lu, Li-Fen Lu, Chia‐Chang Hsu, Jer‐Yiing Houng and Cheng‐An Chiu. Their work appears in journals such as International Journal of Medical Sciences, Clinica Chimica Acta, BMC Cardiovascular Disorders, Clinical and investigative medicine and Cytokine.

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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