Chun‐Kui Shao
Impact in
- Oncology top 5%
- Viral-associated cancers and disorders
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 31
- Viral-associated cancers and disorders 25
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- Epigenetics and DNA Methylation 4
- Circular RNAs in diseases 4
- Co-authors
- Jianning Chen (44 shared papers)Dan He (11 shared papers)Li‐ping Gong (12 shared papers)Min Dong (10 shared papers)Haigang Li (10 shared papers)Hong Du (9 shared papers)Ye Jiang (9 shared papers)Yuhang Pan (9 shared papers)
- Journals
- PLoS ONE (6 papers)Human Pathology (4 papers)Cancer Letters (2 papers)Oncotarget (2 papers)Gastric Cancer (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chun‐Kui Shao
74 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 91
- Oncology 736
- Cancer Research 369
- Hepatology 115
- Immunology 290
- Pathology and Forensic Medicine 200
Countries citing papers authored by Chun‐Kui Shao
This map shows the geographic impact of Chun‐Kui Shao'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 Chun‐Kui Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Kui Shao more than expected).
Fields of papers citing papers by Chun‐Kui Shao
This network shows the impact of papers produced by Chun‐Kui Shao. 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 Chun‐Kui Shao. The network helps show where Chun‐Kui Shao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐Kui Shao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 124 | |
| 2 | 2020 | 121 | |
| 3 | 2020 | 81 | |
| 4 | 2012 | 81 | |
| 5 | 2022 | 76 | |
| 6 | 2012 | 74 | |
| 7 | 2019 | 73 | |
| 8 | 2016 | 66 | |
| 9 | 2010 | 60 | |
| 10 | 2014 | 58 | |
| 11 | 2015 | 57 | |
| 12 | 2003 | 55 | |
| 13 | 2015 | 52 | |
| 14 | 2017 | 48 | |
| 15 | 2021 | 44 | |
| 16 | 2012 | 41 | |
| 17 | 2015 | 40 | |
| 18 | 2015 | 38 | |
| 19 | 2011 | 34 | |
| 20 | 2022 | 33 |
About Chun‐Kui Shao
Chun‐Kui Shao is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Cancer Research, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (25 papers), Lymphoma Diagnosis and Treatment (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Cancer-related molecular mechanisms research (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Oncology (736 citations), Cancer Research (369 citations), Hepatology (115 citations), Immunology (290 citations) and Pathology and Forensic Medicine (200 citations). Chun‐Kui Shao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianning Chen, Dan He, Li‐ping Gong, Min Dong, Haigang Li, Hong Du, Ye Jiang, Yuhang Pan, Fang Tang and Y. X. Ding. Their work appears in journals such as PLoS ONE, Human Pathology, Cancer Letters, Oncotarget and Gastric Cancer.
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.