Juying Wei
Impact in
-
- CAR-T cell therapy research
- Viral-associated cancers and disorders
Papers in ⓘ
- Hematology 19
- Acute Myeloid Leukemia Research 14
- Multiple Myeloma Research and Treatments 6
- Genetics 9
- Chronic Lymphocytic Leukemia Research 5
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Co-authors
- Wenbin Qian (11 shared papers)Jie Jin (23 shared papers)Liangshun You (5 shared papers)Chunmei Yang (4 shared papers)Qunyi Guo (2 shared papers)Shenhe Jin (2 shared papers)Chaoting Zhang (2 shared papers)Xiaojun Guo (2 shared papers)
- Journals
- Blood (7 papers)British Journal of Haematology (2 papers)OncoTargets and Therapy (2 papers)Frontiers of Medicine (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Juying Wei
38 papers receiving 375 citations
Peers
Comparison fields: 5 of 56
- Oncology 212
- Hematology 56
- Pathology and Forensic Medicine 75
- Immunology 81
- Genetics 39
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 104 | |
| 2 | 2017 | 35 | |
| 3 | 2018 | 24 | |
| 4 | 2018 | 23 | |
| 5 | 2020 | 20 | |
| 6 | 2017 | 18 | |
| 7 | 2021 | 17 | |
| 8 | 2012 | 17 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 11 | |
| 11 | 2020 | 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 | 2019 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2024 | 3 |
About Juying Wei
Juying Wei is a scholar working on Hematology, Genetics, Oncology, Pathology and Forensic Medicine and Applied Microbiology and Biotechnology, having authored 44 papers that have together received 380 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (10 papers), Multiple Myeloma Research and Treatments (6 papers), Viral-associated cancers and disorders (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (212 citations), Hematology (56 citations), Pathology and Forensic Medicine (75 citations), Immunology (81 citations) and Genetics (39 citations). Juying Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Wenbin Qian, Jie Jin, Liangshun You, Chunmei Yang, Qunyi Guo, Shenhe Jin, Chaoting Zhang, Xiaojun Guo, Wen Lei and Liping Mao. Their work appears in journals such as Blood, British Journal of Haematology, OncoTargets and Therapy, Frontiers of Medicine and Journal of Clinical Oncology.
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.