Chao-Chun Wu

936 citations
15 papers · 50 · h-index 5

Impact in

    • Global Cancer Incidence and Screening
    • Colorectal Cancer Screening and Detection
    • Cervical Cancer and HPV Research

Papers in

    • Cervical Cancer and HPV Research 4
    • Hepatitis B Virus Studies 2
    • Liver Disease Diagnosis and Treatment 2
    • Multiple and Secondary Primary Cancers 1
    • Global Cancer Incidence and Screening 4
    • Colorectal Cancer Screening and Detection 2

Chao-Chun Wu

10 papers receiving 49 citations

Peers

Chao-Chun Wu
Comparison fields: 5 of 25
  • Oncology 14
  • Epidemiology 13
  • Health, Toxicology and Mutagenesis 4
  • Pulmonary and Respiratory Medicine 5
  • Microbiology 1
Replace Elham Partovipour with:
Elham Partovipour Iran
Marius Venter United Kingdom
M O Santos Brazil
Kelsey N. Lansdale United States
Iram Parwaiz United Kingdom
Waqas Butt Ireland
Hubert Kogler Austria
Alise Balcere Latvia
Ibolya Laczó Hungary
John Forni United Kingdom
Chao-Chun Wu relative to Elham Partovipour Iran Elham Partovipour's profile →
Citations per field
00.5×3.8×
Elham Partovipour · 1×
Citations per year

Countries citing papers authored by Chao-Chun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Chun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 202215
2 20167
3 20235
4 20185
5 20245
6 20214
7 20224
8 20243
9 20251
10 20241
11 20250
12 20250
13 20220
14 20250
15 20240

About Chao-Chun Wu

Chao-Chun Wu is a scholar working on Epidemiology, Oncology, Hepatology, Otorhinolaryngology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 50 indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (4 papers), Cervical Cancer and HPV Research (4 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Hepatitis C virus research (2 papers), Colorectal Cancer Screening and Detection (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper) and Multiple and Secondary Primary Cancers (1 paper). The work is most often cited by research in Oncology (14 citations), Epidemiology (13 citations), Health, Toxicology and Mutagenesis (4 citations), Pulmonary and Respiratory Medicine (5 citations) and Microbiology (1 citation). Chao-Chun Wu has collaborated with scholars based in Taiwan, South Korea and United States. Frequent co-authors include Li‐Ju Lin, Jing‐Rong Jhuang, Yi‐Chu Chen, Chun‐Ju Chiang, Ya‐Wen Yang, Shih‐Yung Su, Wen‐Chung Lee, Li-Ju Lin, Chia‐Chu Chang and Wing P. Chan. Their work appears in journals such as BMC Medical Education, BMC Medicine, Journal of Clinical Oncology, Hypertension Research and BMC Geriatrics.

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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