Qingya Cui
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 17
- Acute Myeloid Leukemia Research 8
- Hematopoietic Stem Cell Transplantation 6
- Platelet Disorders and Treatments 5
- Chronic Myeloid Leukemia Treatments 5
- Oncology 15
- CAR-T cell therapy research 15
- Co-authors
- Sheng Yan (1 shared paper)Yanhong Dong (1 shared paper)Yan Zhao (1 shared paper)Wentao Zhang (1 shared paper)Ming Li (1 shared paper)Xiaowen Tang (25 shared papers)Haiping Dai (16 shared papers)Sudan He (1 shared paper)
- Journals
- Blood (12 papers)Frontiers in Immunology (3 papers)Lara D. Veeken (1 paper)Sensors and Actuators B Chemical (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Qingya Cui
28 papers receiving 252 citations
Peers
Comparison fields: 5 of 47
- Hematology 65
- Periodontics 10
- Physiology 56
- Oncology 50
- Immunology and Allergy 11
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 77 | |
| 2 | 2017 | 39 | |
| 3 | 2018 | 17 | |
| 4 | 2018 | 15 | |
| 5 | 2020 | 12 | |
| 6 | 2023 | 12 | |
| 7 | 2024 | 11 | |
| 8 | 2017 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2022 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2014 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Qingya Cui
Qingya Cui is a scholar working on Hematology, Oncology, Molecular Biology, Public Health, Environmental and Occupational Health and Genetics, having authored 36 papers that have together received 257 indexed citations. Recurring topics across this work include CAR-T cell therapy research (15 papers), Acute Myeloid Leukemia Research (8 papers), Hematopoietic Stem Cell Transplantation (6 papers), Platelet Disorders and Treatments (5 papers), Chronic Myeloid Leukemia Treatments (5 papers), Acute Lymphoblastic Leukemia research (5 papers), CRISPR and Genetic Engineering (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (65 citations), Periodontics (10 citations), Physiology (56 citations), Oncology (50 citations) and Immunology and Allergy (11 citations). Qingya Cui has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Sheng Yan, Yanhong Dong, Yan Zhao, Wentao Zhang, Ming Li, Xiaowen Tang, Haiping Dai, Sudan He, Jingluan Tian and Zhenyu Li. Their work appears in journals such as Blood, Frontiers in Immunology, Lara D. Veeken, Sensors and Actuators B Chemical and Advanced Science.
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.