Shuning Wei
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Acute Lymphoblastic Leukemia research
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 22
- Hematopoietic Stem Cell Transplantation 1
- Chronic Myeloid Leukemia Treatments 1
-
- Acute Lymphoblastic Leukemia research 10
- Co-authors
- Jianxiang Wang (29 shared papers)Yingchang Mi (24 shared papers)Chunlin Zhou (26 shared papers)Hui Wei (24 shared papers)Bingcheng Liu (23 shared papers)Xiaoyuan Gong (23 shared papers)Benfa Gong (24 shared papers)Dong Lin (17 shared papers)
- Journals
- Blood (3 papers)Experimental Hematology and Oncology (2 papers)British Journal of Haematology (2 papers)Leukemia (2 papers)BMC Cancer (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Shuning Wei
36 papers receiving 264 citations
Peers
Comparison fields: 5 of 25
- Hematology 141
- Public Health, Environmental and Occupational Health 57
- Oncology 32
- Physiology 11
- Molecular Biology 25
Countries citing papers authored by Shuning Wei
This map shows the geographic impact of Shuning 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 Shuning Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuning Wei more than expected).
Fields of papers citing papers by Shuning Wei
This network shows the impact of papers produced by Shuning 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 Shuning Wei. The network helps show where Shuning Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuning 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 34 | |
| 2 | 2020 | 28 | |
| 3 | 2020 | 27 | |
| 4 | 2021 | 22 | |
| 5 | 2013 | 18 | |
| 6 | 2019 | 15 | |
| 7 | 2022 | 11 | |
| 8 | 2017 | 8 | |
| 9 | 2020 | 8 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 7 | |
| 12 | 2022 | 7 | |
| 13 | 2017 | 6 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2025 | 4 |
About Shuning Wei
Shuning Wei is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Infectious Diseases, Oncology and Molecular Biology, having authored 39 papers that have together received 268 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (22 papers), Acute Lymphoblastic Leukemia research (10 papers), Retinoids in leukemia and cellular processes (4 papers), Antifungal resistance and susceptibility (3 papers), CAR-T cell therapy research (2 papers), Chronic Lymphocytic Leukemia Research (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (141 citations), Public Health, Environmental and Occupational Health (57 citations), Oncology (32 citations), Physiology (11 citations) and Molecular Biology (25 citations). Shuning Wei has collaborated with scholars based in China and United States. Frequent co-authors include Jianxiang Wang, Yingchang Mi, Chunlin Zhou, Hui Wei, Bingcheng Liu, Xiaoyuan Gong, Benfa Gong, Dong Lin, Ying Wang and Kaiqi Liu. Their work appears in journals such as Blood, Experimental Hematology and Oncology, British Journal of Haematology, Leukemia and BMC Cancer.
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.