Yuankai Shi
- Oncology top 5%
- Lung Cancer Research Studies 28
- Viral-associated cancers and disorders 13
- Cancer Immunotherapy and Biomarkers 11
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- Lung Cancer Treatments and Mutations 36
- Lung Cancer Diagnosis and Treatment 14
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment 33
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- Chronic Lymphocytic Leukemia Research 11
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- Monoclonal and Polyclonal Antibodies Research 9
- Journals
- Journal of Clinical Oncology (16 papers)SHILAP Revista de lepidopterología (3 papers)Blood (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Yuankai Shi
94 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 81
- Oncology 547
- Pulmonary and Respiratory Medicine 395
- Pathology and Forensic Medicine 184
- Cancer Research 104
- Immunology 141
Countries citing papers authored by Yuankai Shi
This map shows the geographic impact of Yuankai Shi'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 Yuankai Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuankai Shi more than expected).
Fields of papers citing papers by Yuankai Shi
This network shows the impact of papers produced by Yuankai Shi. 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 Yuankai Shi. The network helps show where Yuankai Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuankai Shi, 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 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 11 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 26 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 20 | |
| 17 | [Standards for the diagnosis and treatment of primary lung cancer (2015 version) in China]. | 2015 | 37 |
| 18 | [Standards for the diagnosis and treatment of malignant lymphoma (2015 version) in China]. | 2015 | 4 |
| 19 | 2014 | 3 | |
| 20 | 2005 | 2 |
About Yuankai Shi
Yuankai Shi is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 101 papers that have together received 997 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (36 papers), Lymphoma Diagnosis and Treatment (33 papers), Lung Cancer Research Studies (28 papers), Lung Cancer Diagnosis and Treatment (14 papers), Viral-associated cancers and disorders (13 papers), Chronic Lymphocytic Leukemia Research (11 papers), Cancer Immunotherapy and Biomarkers (11 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). The work is most often cited by research in Oncology (547 citations), Pulmonary and Respiratory Medicine (395 citations) and Pathology and Forensic Medicine (184 citations). Yuankai Shi has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Liling Huang, Shiyu Jiang, Xiuyi Zhi, Xiaohong Han, Jinming Yu, Sheng Yang, Jinming Yu, Yu Zhou, Xiaohui He and Tongji Xie. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.