Yi Que
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Inflammatory Biomarkers in Disease Prognosis
- CAR-T cell therapy research
-
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
- Co-authors
- Xing Zhang (20 shared papers)Bu-Shu Xu (10 shared papers)Yao Liang (5 shared papers)Wei Xiao (5 shared papers)Yizhuo Zhang (23 shared papers)Wei Xiao (6 shared papers)Yuanxiang Guan (5 shared papers)Zhiwei Zhou (2 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)BMC Cancer (4 papers)Journal for ImmunoTherapy of Cancer (3 papers)Frontiers in Immunology (3 papers)Journal of Cancer (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yi Que
51 papers receiving 636 citations
Peers
Comparison fields: 5 of 64
- Oncology 301
- Immunology 124
- Cancer Research 71
- Pulmonary and Respiratory Medicine 141
- Molecular Biology 184
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 87 | |
| 2 | 2021 | 71 | |
| 3 | 2015 | 57 | |
| 4 | 2019 | 47 | |
| 5 | 2018 | 35 | |
| 6 | 2021 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2022 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2024 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2015 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2018 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2022 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2022 | 9 |
About Yi Que
Yi Que is a scholar working on Oncology, Neurology, Molecular Biology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 55 papers that have together received 643 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (13 papers), Sarcoma Diagnosis and Treatment (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Lymphoma Diagnosis and Treatment (7 papers), CAR-T cell therapy research (6 papers), Lung Cancer Research Studies (5 papers), Immune Cell Function and Interaction (4 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Oncology (301 citations), Immunology (124 citations), Cancer Research (71 citations), Pulmonary and Respiratory Medicine (141 citations) and Molecular Biology (184 citations). Yi Que has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xing Zhang, Bu-Shu Xu, Yao Liang, Wei Xiao, Yizhuo Zhang, Wei Xiao, Yuanxiang Guan, Zhiwei Zhou, Haibo Qiu and Yuanfang Li. Their work appears in journals such as Journal of Clinical Oncology, BMC Cancer, 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.