Chao-Ping Wang

61 papers receiving 1.1k citations

Peers

Chao-Ping Wang
Comparison fields: 5 of 108
  • Nephrology 160
  • Cardiology and Cardiovascular Medicine 239
  • Epidemiology 232
  • Transportation 41
  • Geriatrics and Gerontology 19
Replace Raffaele Galiero with:
Raffaele Galiero Italy
Ying Yu China
SANTOS ESTEBAN CASADO Spain
Miao Wang China
Te‐Chao Fang Taiwan
Xinhui Liu China
Daniela Maria Tănase Romania
Agata Lages Gava Brazil
Xiaoli Huang China
Xia Zhong China
Chao-Ping Wang relative to Raffaele Galiero Italy Raffaele Galiero's profile →
Citations per field
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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 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200399
2 201781
3 201072
4 201069
5 200961
6 202059
7 201349
8 202042
9 201734
10 201633
11 201132
12 201426
13 201726
14 201225
15 201625
16 201423
17 201822
18 201621
19 201320
20 201620

About Chao-Ping Wang

Chao-Ping Wang is a scholar working on Cardiology and Cardiovascular Medicine, Nephrology, Epidemiology, Surgery and Molecular Biology, having authored 66 papers that have together received 1.2k 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), Peroxisome Proliferator-Activated Receptors (3 papers), Evacuation and Crowd Dynamics (3 papers), Cardiovascular Health and Risk Factors (3 papers), Traffic control and management (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Nephrology (160 citations), Cardiology and Cardiovascular Medicine (239 citations), Epidemiology (232 citations), Transportation (41 citations) and Geriatrics and Gerontology (19 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, Yung‐Chuan Lu, I‐Ting Tsai, 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, Cytokine and Clinical and investigative medicine.

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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