Weiru Wu
Impact in
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 2
- Hematopoietic Stem Cell Transplantation 2
-
- Pluripotent Stem Cells Research 2
- Connective Tissue Growth Factor Research 2
- Muscle Physiology and Disorders 2
- Cancer-related gene regulation 2
- Co-authors
- Zhe Chen (7 shared papers)Yu Hou (9 shared papers)Weike Si (5 shared papers)Lei Li (4 shared papers)Jing Pan (4 shared papers)Chen Zhao (4 shared papers)Zhilong Liu (5 shared papers)Yongxiu Huang (4 shared papers)
- Journals
- International Journal of Molecular Medicine (2 papers)Leukemia (2 papers)PLoS ONE (2 papers)Vaccine (1 paper)iScience (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Weiru Wu
16 papers receiving 456 citations
Weiru Wu's Hit Papers
Peers
Comparison fields: 5 of 73
- Microbiology 43
- Molecular Medicine 20
- Molecular Biology 264
- Hematology 35
- Genetics 31
Countries citing papers authored by Weiru Wu
This map shows the geographic impact of Weiru 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 Weiru Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiru Wu more than expected).
Fields of papers citing papers by Weiru Wu
This network shows the impact of papers produced by Weiru 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 Weiru Wu. The network helps show where Weiru Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Weiru 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
| # | Work | ||
|---|---|---|---|
| 1 | Nynrin preserves hematopoietic stem cell function by inhibiting the mitochondrial permeability transition pore opening Hit paper breakdown → | 2024 | 74 |
| 2 | 2020 | 68 | |
| 3 | 2018 | 66 | |
| 4 | 2012 | 46 | |
| 5 | 2021 | 34 | |
| 6 | 2024 | 33 | |
| 7 | 2020 | 27 | |
| 8 | 2017 | 26 | |
| 9 | 2015 | 21 | |
| 10 | 2024 | 20 | |
| 11 | 2020 | 11 | |
| 12 | 2012 | 9 | |
| 13 | 2013 | 9 | |
| 14 | 2021 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 0 |
About Weiru Wu
Weiru Wu is a scholar working on Hematology, Molecular Biology, Immunology, Microbiology and Epidemiology, having authored 17 papers that have together received 460 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Pluripotent Stem Cells Research (2 papers), Connective Tissue Growth Factor Research (2 papers), Muscle Physiology and Disorders (2 papers), Cancer-related gene regulation (2 papers), Immune cells in cancer (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Microbiology (43 citations), Molecular Medicine (20 citations), Molecular Biology (264 citations), Hematology (35 citations) and Genetics (31 citations). Weiru Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Zhe Chen, Yu Hou, Weike Si, Lei Li, Jing Pan, Chen Zhao, Zhilong Liu, Yongxiu Huang, Jieping Chen and Feng Yang. Their work appears in journals such as International Journal of Molecular Medicine, Leukemia, PLoS ONE, Vaccine and iScience.
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.