Koo Foundation Sun Yat-Sen Cancer Center

18.4k citations
648 papers ·

Impact in

    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Surgical Treatments
    • Cancer Treatment and Pharmacology
    • Breast Cancer Treatment Studies

Papers in

Koo Foundation Sun Yat-Sen Cancer Center

540 papers receiving 15.3k citations

Peers

Koo Foundation Sun Yat-Sen Cancer Center
Comparison fields: 5 of 192
  • Oncology 5.0k
  • Cancer Research 2.6k
  • Otorhinolaryngology 639
  • Hepatology 1.1k
  • Pulmonary and Respiratory Medicine 2.8k
Replace Luodong Poh-Ai Hospital with:
Luodong Poh-Ai Hospital Taiwan
Princess Margaret Hospital Hong Kong
Jen-Ai Hospital Taiwan
Yuan's General Hospital Taiwan
Sin-Lau Christian Hospital Taiwan
Caritas Medical Centre China
Fourth Affiliated Hospital of Guangxi Medical University China
Pacific Medical (China) China
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Tung Wah Hospital China
Koo Foundation Sun Yat-Sen Cancer Center relative to Luodong Poh-Ai Hospital Taiwan Luodong Poh-Ai Hospital's profile →
Citations per field
00.5×6.4×
Luodong Poh-Ai Hospital · 1×
Citations per year

Countries citing scholars working at Koo Foundation Sun Yat-Sen Cancer Center

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Koo Foundation Sun Yat-Sen Cancer Center. 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 papers produced at Koo Foundation Sun Yat-Sen Cancer Center with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koo Foundation Sun Yat-Sen Cancer Center more than expected).

Fields of papers published by authors at Koo Foundation Sun Yat-Sen Cancer Center

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Koo Foundation Sun Yat-Sen Cancer Center at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Koo Foundation Sun Yat-Sen Cancer Center at the time of their publication.

About Koo Foundation Sun Yat-Sen Cancer Center

In recent decades, authors affiliated with Koo Foundation Sun Yat-Sen Cancer Center have published 648 papers, which have received a total of 18.4k indexed citations . Scholars at this organization have produced 32 papers in Otorhinolaryngology, 153 papers in Oncology, 63 papers in Cancer Research, 133 papers in Pulmonary and Respiratory Medicine and 28 papers in Hepatology on the topics of Breast Cancer Treatment Studies (41 papers), Head and Neck Cancer Studies (29 papers), Lung Cancer Diagnosis and Treatment (27 papers), HER2/EGFR in Cancer Research (26 papers), Hepatocellular Carcinoma Treatment and Prognosis (26 papers), Esophageal Cancer Research and Treatment (25 papers), Lymphoma Diagnosis and Treatment (24 papers) and Advanced Radiotherapy Techniques (21 papers). Their work is cited by papers focused on Oncology (5.0k citations), Cancer Research (2.6k citations), Otorhinolaryngology (639 citations), Hepatology (1.1k citations) and Pulmonary and Respiratory Medicine (2.8k citations). Authors at Koo Foundation Sun Yat-Sen Cancer Center collaborate with scholars in Taiwan, United States and China and have published in prestigious journals including International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, PLoS ONE, Annals of Oncology and Scientific Reports. Some of Koo Foundation Sun Yat-Sen Cancer Center's most productive authors include Andrew T. Huang, James Jer‐Min Jian, Mei-Ching Liu, Skye Hongiun Cheng, Chia‐Chuan Liu, Li‐Han Hsu, Jason Chia‐Hsien Cheng, Yih‐Lin Chung, Ling‐Ming Tseng and Stella Y. Tsai.

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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