Juying Wei
Impact in
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- CAR-T cell therapy research
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- Acute Myeloid Leukemia Research
Papers in
- Hematology 18
- Acute Myeloid Leukemia Research 13
- Multiple Myeloma Research and Treatments 5
- Chronic Myeloid Leukemia Treatments 3
- Oncology 11
- Viral-associated cancers and disorders 4
- CAR-T cell therapy research 3
- Co-authors
- Wenbin Qian (11 shared papers)Jie Jin (23 shared papers)Zhilu Chen (2 shared papers)Liping Mao (13 shared papers)Wen Lei (2 shared papers)Chaoting Zhang (2 shared papers)Xiaojun Guo (2 shared papers)Zheming Lu (2 shared papers)
- Journals
- Blood (8 papers)Frontiers of Medicine (2 papers)Hematological Oncology (2 papers)British Journal of Haematology (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Juying Wei
42 papers receiving 396 citations
Peers
Comparison fields: 5 of 57
- Oncology 189
- Hematology 53
- Pathology and Forensic Medicine 56
- Genetics 32
- Immunology 65
Countries citing papers authored by Juying Wei
This map shows the geographic impact of Juying Wei'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 Juying Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juying Wei more than expected).
Fields of papers citing papers by Juying Wei
This network shows the impact of papers produced by Juying Wei. 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 Juying Wei. The network helps show where Juying Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Juying Wei, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 112 | |
| 2 | 2017 | 35 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 23 | |
| 5 | 2020 | 21 | |
| 6 | 2017 | 19 | |
| 7 | 2021 | 18 | |
| 8 | 2012 | 17 | |
| 9 | 2018 | 13 | |
| 10 | 2020 | 12 | |
| 11 | 2019 | 11 | |
| 12 | Bortezomib in treatment of extramedullary plasmacytoma of the pancreas. | 2009 | 11 |
| 13 | 2010 | 10 | |
| 14 | 2017 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2025 | 4 | |
| 18 | 2017 | 4 | |
| 19 | 2019 | 4 | |
| 20 | 2024 | 4 |
About Juying Wei
Juying Wei is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 45 papers that have together received 401 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Multiple Myeloma Research and Treatments (5 papers), Viral-associated cancers and disorders (4 papers), CNS Lymphoma Diagnosis and Treatment (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Oncology (189 citations), Hematology (53 citations), Pathology and Forensic Medicine (56 citations), Genetics (32 citations) and Immunology (65 citations). Juying Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Wenbin Qian, Jie Jin, Zhilu Chen, Liping Mao, Wen Lei, Chaoting Zhang, Xiaojun Guo, Zheming Lu, Liangshun You and Chunmei Yang. Their work appears in journals such as Blood, Frontiers of Medicine, Hematological Oncology, British Journal of Haematology and OncoTargets and Therapy.
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.