Qingya Cui
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 20
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 7
- Chronic Myeloid Leukemia Treatments 5
- Platelet Disorders and Treatments 4
- Oncology 17
- CAR-T cell therapy research 16
- Co-authors
- Ming Li (1 shared paper)Xiaowen Tang (26 shared papers)Feng Shi (1 shared paper)Yan Zhao (1 shared paper)Yanhong Dong (1 shared paper)Wentao Zhang (1 shared paper)Sheng Yan (1 shared paper)Haiping Dai (17 shared papers)
- Journals
- Blood (10 papers)Frontiers in Immunology (3 papers)Drug Design Development and Therapy (3 papers)European Journal of Medicinal Chemistry (1 paper)Blood Coagulation & Fibrinolysis (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Qingya Cui
34 papers receiving 294 citations
Peers
Comparison fields: 5 of 57
- Hematology 84
- Periodontics 16
- Oncology 87
- Genetics 30
- Immunology 50
Countries citing papers authored by Qingya Cui
This map shows the geographic impact of Qingya Cui'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 Qingya Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingya Cui more than expected).
Fields of papers citing papers by Qingya Cui
This network shows the impact of papers produced by Qingya Cui. 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 Qingya Cui. The network helps show where Qingya Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingya Cui, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 72 | |
| 2 | 2017 | 36 | |
| 3 | Successful application of PD-1 knockdown CLL-1 CAR-T therapy in two AML patients with post-transplant relapse and failure of anti-CD38 CAR-T cell treatment. | 2022 | 29 |
| 4 | 2018 | 16 | |
| 5 | 2018 | 15 | |
| 6 | 2013 | 13 | |
| 7 | 2020 | 12 | |
| 8 | 2023 | 10 | |
| 9 | 2024 | 9 | |
| 10 | 2017 | 9 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2012 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2020 | 4 |
About Qingya Cui
Qingya Cui is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 42 papers that have together received 298 indexed citations. Recurring topics across this work include CAR-T cell therapy research (16 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), Acute Lymphoblastic Leukemia research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Platelet Disorders and Treatments (4 papers), Protein Degradation and Inhibitors (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Hematology (84 citations), Periodontics (16 citations), Oncology (87 citations), Genetics (30 citations) and Immunology (50 citations). Qingya Cui has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ming Li, Xiaowen Tang, Feng Shi, Yan Zhao, Yanhong Dong, Wentao Zhang, Sheng Yan, Haiping Dai, Liqing Kang and Wei Cui. Their work appears in journals such as Blood, Frontiers in Immunology, Drug Design Development and Therapy, European Journal of Medicinal Chemistry and Blood Coagulation & Fibrinolysis.
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.