Juying Wei
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Multiple Myeloma Research and Treatments
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- CAR-T cell therapy research
Papers in
- Hematology 27
- Acute Myeloid Leukemia Research 20
- Multiple Myeloma Research and Treatments 6
- Chronic Myeloid Leukemia Treatments 6
- Genetics 9
- Chronic Lymphocytic Leukemia Research 6
- Co-authors
- Wenbin Qian (11 shared papers)Jie Jin (25 shared papers)Chaoting Zhang (1 shared paper)Xiaojun Guo (1 shared paper)Chunmei Yang (3 shared papers)Zheming Lu (1 shared paper)Ying Lu (1 shared paper)Qunyi Guo (1 shared paper)
- Journals
- Blood (5 papers)Journal of Hematology & Oncology (3 papers)British Journal of Haematology (3 papers)Experimental Hematology and Oncology (2 papers)OncoTargets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Juying Wei
55 papers receiving 633 citations
Peers
Comparison fields: 5 of 65
- Hematology 201
- Oncology 232
- Genetics 58
- Pathology and Forensic Medicine 80
- Immunology 79
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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 127 | |
| 2 | 2022 | 82 | |
| 3 | 2017 | 36 | |
| 4 | 2015 | 28 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 23 | |
| 7 | 2021 | 23 | |
| 8 | 2020 | 21 | |
| 9 | 2017 | 20 | |
| 10 | 2022 | 19 | |
| 11 | 2012 | 18 | |
| 12 | 2018 | 14 | |
| 13 | 2019 | 14 | |
| 14 | Bortezomib in treatment of extramedullary plasmacytoma of the pancreas. | 2009 | 13 |
| 15 | 2020 | 12 | |
| 16 | 2010 | 10 | |
| 17 | 2017 | 10 | |
| 18 | 2020 | 10 | |
| 19 | 2022 | 10 | |
| 20 | 2023 | 10 |
About Juying Wei
Juying Wei is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 58 papers that have together received 639 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Multiple Myeloma Research and Treatments (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Chronic Myeloid Leukemia Treatments (6 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Hematology (201 citations), Oncology (232 citations), Genetics (58 citations), Pathology and Forensic Medicine (80 citations) and Immunology (79 citations). Juying Wei has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Wenbin Qian, Jie Jin, Chaoting Zhang, Xiaojun Guo, Chunmei Yang, Zheming Lu, Ying Lu, Qunyi Guo, Liping Mao and Hongyan Tong. Their work appears in journals such as Blood, Journal of Hematology & Oncology, British Journal of Haematology, Experimental Hematology and Oncology 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.