Yi Que
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- CAR-T cell therapy research
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- Sarcoma Diagnosis and Treatment
Papers in
- Oncology 20
- Cancer Immunotherapy and Biomarkers 10
- Inflammatory Biomarkers in Disease Prognosis 3
- CAR-T cell therapy research 3
- Neutropenia and Cancer Infections 1
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- Sarcoma Diagnosis and Treatment 17
- Co-authors
- Xing Zhang (19 shared papers)Yuanxiang Guan (7 shared papers)Bu-Shu Xu (8 shared papers)Yao Liang (5 shared papers)Wei Xiao (5 shared papers)Yizhuo Zhang (18 shared papers)Wei Xiao (6 shared papers)Zhiwei Zhou (2 shared papers)
- Journals
- BMC Cancer (3 papers)Cell Death and Disease (3 papers)Journal for ImmunoTherapy of Cancer (3 papers)Frontiers in Immunology (3 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yi Que
45 papers receiving 727 citations
Peers
Comparison fields: 5 of 60
- Oncology 324
- Pulmonary and Respiratory Medicine 175
- Cancer Research 37
- Immunology 53
- Biological Psychiatry 3
Countries citing papers authored by Yi Que
This map shows the geographic impact of Yi Que'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 Yi Que with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Que more than expected).
Fields of papers citing papers by Yi Que
This network shows the impact of papers produced by Yi Que. 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 Yi Que. The network helps show where Yi Que may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Que, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 91 | |
| 2 | 2021 | 78 | |
| 3 | 2015 | 60 | |
| 4 | 2019 | 49 | |
| 5 | 2023 | 39 | |
| 6 | 2018 | 37 | |
| 7 | 2021 | 30 | |
| 8 | 2018 | 27 | |
| 9 | 2024 | 26 | |
| 10 | 2022 | 24 | |
| 11 | 2018 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2020 | 19 | |
| 14 | 2015 | 18 | |
| 15 | 2018 | 13 | |
| 16 | 2021 | 13 | |
| 17 | 2022 | 13 | |
| 18 | 2015 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2023 | 12 |
About Yi Que
Yi Que is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Neurology, Immunology and Molecular Biology, having authored 46 papers that have together received 735 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (17 papers), Cancer Immunotherapy and Biomarkers (10 papers), Neuroblastoma Research and Treatments (6 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), CAR-T cell therapy research (3 papers), Renal and related cancers (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Neutropenia and Cancer Infections (1 paper). The work is most often cited by research in Oncology (324 citations), Pulmonary and Respiratory Medicine (175 citations), Cancer Research (37 citations), Immunology (53 citations) and Biological Psychiatry (3 citations). Yi Que has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xing Zhang, Yuanxiang Guan, Bu-Shu Xu, Yao Liang, Wei Xiao, Yizhuo Zhang, Wei Xiao, Zhiwei Zhou, Haibo Qiu and Jia Zhu. Their work appears in journals such as BMC Cancer, Cell Death and Disease, Journal for ImmunoTherapy of Cancer, Frontiers in Immunology and Journal of 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.