Xinyue Qi
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 3
- Hematology top 5%
- Acute Myeloid Leukemia Research 3
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
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- Statistical Methods in Clinical Trials 3
- Statistical Methods and Inference 2
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- Advanced Welding Techniques Analysis 2
- Welding Techniques and Residual Stresses 2
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- Reinforcement Learning in Robotics 2
- Co-authors
- Shouhao ZhouMichael WangYucai WangGrzegorz S. NowakowskiFang YangChan ShenJesus Vera AguileraÞorvarður R. Hálfdánarson
- Cited by
- OncologyHematologyGenetics
- Journals
- SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)International Journal of Molecular Sciences (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xinyue Qi
25 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Oncology 611
- Hematology 221
- Genetics 122
- Cancer Research 123
- Immunology 170
Countries citing papers authored by Xinyue Qi
This map shows the geographic impact of Xinyue Qi'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 Xinyue Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinyue Qi more than expected).
Fields of papers citing papers by Xinyue Qi
This network shows the impact of papers produced by Xinyue Qi. 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 Xinyue Qi. The network helps show where Xinyue Qi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xinyue Qi, 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 | 2024 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 17 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 88 | |
| 10 | 2023 | 1 | |
| 11 | 2022 | 13 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 20 | |
| 14 | 2022 | 1 | |
| 15 | 2020 | 73 | |
| 16 | 2020 | 3 | |
| 17 | 2018 | 1 | |
| 18 | [Dietary Factors Associated with Hyperuricemia and Glycolipid Metabolism Disorder in Middle-aged and Elderly People]. | 2016 | 6 |
| 19 | Clinical significance of Mena and Her-2 expression in breast cancer. | 2012 | 10 |
| 20 | 2009 | 28 |
About Xinyue Qi
Xinyue Qi is a scholar working on Statistics and Probability, Metals and Alloys and Hematology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers), Acute Myeloid Leukemia Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Advanced Welding Techniques Analysis (2 papers), Reinforcement Learning in Robotics (2 papers), Welding Techniques and Residual Stresses (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Oncology (611 citations), Hematology (221 citations) and Genetics (122 citations). Xinyue Qi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouhao Zhou, Michael Wang, Yucai Wang, Grzegorz S. Nowakowski, Fang Yang, Chan Shen, Jesus Vera Aguilera, Þorvarður R. Hálfdánarson, Narjust Duma and Svetomir N. Markovic. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.
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.