Shuiyan Wu
Impact in
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- Multiple Myeloma Research and Treatments
Papers in
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- Protein Degradation and Inhibitors 3
- Hematology 11
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 4
- Co-authors
- Zhenjiang Bai (20 shared papers)Shaoyan Hu (10 shared papers)Jian Pan (7 shared papers)Haitao Lv (4 shared papers)Libing Zhou (3 shared papers)Jie Huang (3 shared papers)Yongping Zhang (3 shared papers)Zhiqin Zhang (1 shared paper)
- Journals
- Blood (5 papers)BMC Infectious Diseases (4 papers)BMC Pediatrics (3 papers)Translational Pediatrics (3 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Shuiyan Wu
37 papers receiving 242 citations
Peers
Comparison fields: 5 of 68
- Applied Microbiology and Biotechnology 10
- Hematology 47
- Critical Care and Intensive Care Medicine 21
- Molecular Biology 136
- Immunology 33
Countries citing papers authored by Shuiyan Wu
This map shows the geographic impact of Shuiyan Wu'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 Shuiyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuiyan Wu more than expected).
Fields of papers citing papers by Shuiyan Wu
This network shows the impact of papers produced by Shuiyan Wu. 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 Shuiyan Wu. The network helps show where Shuiyan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuiyan Wu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 50 | |
| 2 | 2021 | 29 | |
| 3 | 2016 | 25 | |
| 4 | 2022 | 19 | |
| 5 | 2019 | 18 | |
| 6 | 2021 | 16 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2023 | 5 | |
| 12 | Proteomic profiling and bioinformatics analysis identify key regulators during the process from fanconi anemia to acute myeloid leukemia. | 2020 | 5 |
| 13 | Proteomic analysis for identifying the differences in molecular profiling between fanconi anaemia and aplastic anaemia. | 2019 | 5 |
| 14 | 2023 | 3 | |
| 15 | 2018 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2019 | 3 | |
| 19 | 2013 | 3 | |
| 20 | 2021 | 3 |
About Shuiyan Wu
Shuiyan Wu is a scholar working on Molecular Biology, Hematology, Epidemiology, Public Health, Environmental and Occupational Health and Genetics, having authored 42 papers that have together received 244 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (5 papers), Sepsis Diagnosis and Treatment (5 papers), Pneumonia and Respiratory Infections (4 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), Protein Degradation and Inhibitors (3 papers) and Nosocomial Infections in ICU (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (10 citations), Hematology (47 citations), Critical Care and Intensive Care Medicine (21 citations), Molecular Biology (136 citations) and Immunology (33 citations). Shuiyan Wu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Zhenjiang Bai, Shaoyan Hu, Jian Pan, Haitao Lv, Libing Zhou, Jie Huang, Yongping Zhang, Zhiqin Zhang, Chunmei Su and Jiannong Cen. Their work appears in journals such as Blood, BMC Infectious Diseases, BMC Pediatrics, Translational Pediatrics and Frontiers in Immunology.
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.