Mian Wu
Impact in
- Cancer Research top 0.2%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- RNA modifications and cancer
- Cell death mechanisms and regulation
- RNA Research and Splicing
- Mitochondrial Function and Pathology
Papers in
-
- Cancer-related molecular mechanisms research 25
- Cancer, Hypoxia, and Metabolism 14
-
- RNA modifications and cancer 26
- Cell death mechanisms and regulation 22
- RNA Research and Splicing 21
- Ubiquitin and proteasome pathways 18
- Co-authors
- Yide MeiPeng JiangWenjing DuAlexander TzagoloffXiaolu YangZhiyin SongRick F. ThorneXu Dong Zhang
- Journals
- Journal of Biological Chemistry (16 papers)RSC Advances (6 papers)Oncogene (6 papers)Scientific Reports (6 papers)Nature Communications (6 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Mian Wu
216 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Cancer Research 3.3k
- Molecular Biology 7.3k
- Oncology 1.4k
- Immunology 926
- Cell Biology 600
Countries citing papers authored by Mian Wu
This map shows the geographic impact of Mian 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 Mian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mian Wu more than expected).
Fields of papers citing papers by Mian Wu
This network shows the impact of papers produced by Mian 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 Mian Wu. The network helps show where Mian Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mian 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 11 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 9 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 39 | |
| 16 | 2021 | 6 | |
| 17 | 2021 | 66 | |
| 18 | 2020 | 40 | |
| 19 | 2017 | 68 | |
| 20 | [Spatial variability of soil nitrogen and related affecting factors at a county scale in hilly area of Mid-Sichuan Basin]. | 2015 | 1 |
About Mian Wu
Mian Wu is a scholar working on Cancer Research, Molecular Biology, Oncology, Analytical Chemistry and Immunology, having authored 229 papers that have together received 10.8k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (26 papers), RNA modifications and cancer (26 papers), Cancer-related molecular mechanisms research (25 papers), Cell death mechanisms and regulation (22 papers), RNA Research and Splicing (21 papers), Ubiquitin and proteasome pathways (18 papers), Plant Virus Research Studies (15 papers) and Cancer, Hypoxia, and Metabolism (14 papers). The work is most often cited by research in Cancer Research (3.3k citations), Molecular Biology (7.3k citations), Oncology (1.4k citations), Immunology (926 citations) and Cell Biology (600 citations). Mian Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yide Mei, Peng Jiang, Wenjing Du, Alexander Tzagoloff, Xiaolu Yang, Zhiyin Song, Rick F. Thorne, Xu Dong Zhang, Fan Yang and Huafeng Zhang. Their work appears in journals such as Journal of Biological Chemistry, RSC Advances, Oncogene, Scientific Reports and Nature Communications.
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.