Kui Zhao
- Oncology top 10%
- CAR-T cell therapy research 5
- Pancreatic and Hepatic Oncology Research 3
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- Lung Cancer Diagnosis and Treatment 5
- Gastric Cancer Management and Outcomes 4
- Sarcoma Diagnosis and Treatment 3
- Otorhinolaryngology top 10%
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- Lymphoma Diagnosis and Treatment 4
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- Radiomics and Machine Learning in Medical Imaging 5
- Medical Imaging Techniques and Applications 3
- Co-authors
- Xiaowen WangXin ZhaoWenjun WuShuye YangLei XiaoJiasheng WangZhao WuYongxian Hu
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kui Zhao
32 papers receiving 514 citations
Peers
Comparison fields: 5 of 70
- Oncology 279
- Pulmonary and Respiratory Medicine 204
- Otorhinolaryngology 26
- Pathology and Forensic Medicine 91
- Radiology, Nuclear Medicine and Imaging 99
Countries citing papers authored by Kui Zhao
This map shows the geographic impact of Kui Zhao'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 Kui Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Zhao more than expected).
Fields of papers citing papers by Kui Zhao
This network shows the impact of papers produced by Kui Zhao. 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 Kui Zhao. The network helps show where Kui Zhao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kui Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 9 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 14 | |
| 6 | 2021 | 23 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 35 | |
| 11 | 2019 | 82 | |
| 12 | 2018 | 10 | |
| 13 | 2018 | 15 | |
| 14 | Deep Style Match for Complementary Recommendation | 2017 | 8 |
| 15 | 2017 | 27 | |
| 16 | 2014 | 32 | |
| 17 | [Correlation of single nucleotide polymorphisms of X-ray repair cross complementing group 1 gene to hereditary susceptibility of colorectal cancer]. | 2013 | 1 |
| 18 | 2013 | 6 | |
| 19 | 2012 | 20 | |
| 20 | 2005 | 16 |
About Kui Zhao
Kui Zhao is a scholar working on Oncology, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 523 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), CAR-T cell therapy research (5 papers), Gastric Cancer Management and Outcomes (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Medical Imaging Techniques and Applications (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (279 citations), Pulmonary and Respiratory Medicine (204 citations) and Otorhinolaryngology (26 citations). Kui Zhao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Xiaowen Wang, Xin Zhao, Wenjun Wu, Shuye Yang, Lei Xiao, Jiasheng Wang, Zhao Wu, Yongxian Hu, Jin Ye and Yanlei Zhang. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research and 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.