Wei Wu
Impact in
- Developmental Neuroscience top 0.5%
- Molecular Biology top 0.5%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
Papers in
-
- Wnt/β-catenin signaling in development and cancer 19
- Cancer-related gene regulation 16
- RNA Research and Splicing 16
- RNA modifications and cancer 14
- RNA and protein synthesis mechanisms 12
- CRISPR and Genetic Engineering 8
-
- Animal Virus Infections Studies 9
- Co-authors
- Christof NiehrsAndrei GlinkaPeter StannekLars M. SteinmetzHajo DeliusClaudia BlumenstockA. Paula MonaghanBingyu Mao
- Journals
- Nature (9 papers)Journal of Biological Chemistry (7 papers)Cell (6 papers)Nature Communications (4 papers)Cell Reports (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Wei Wu
168 papers receiving 12.2k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Developmental Neuroscience 655
- Molecular Biology 9.1k
- Aging 149
- Cellular and Molecular Neuroscience 1.5k
- Genetics 2.3k
Countries citing papers authored by Wei Wu
This map shows the geographic impact of Wei 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 Wei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wu more than expected).
Fields of papers citing papers by Wei Wu
This network shows the impact of papers produced by Wei 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 Wei Wu. The network helps show where Wei Wu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 21 | |
| 8 | 2023 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 22 | |
| 11 | 2020 | 28 | |
| 12 | 2020 | 35 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 174 | |
| 15 | 2016 | 36 | |
| 16 | 2014 | 1 | |
| 17 | Pollution and control measures of aquaculture environment. | 2014 | 4 |
| 18 | 2013 | 5 | |
| 19 | 2013 | 100 | |
| 20 | Prokaryotic expression of mink enteritis virus VP2 gene and establishment of indirect ELISA | 2009 | 2 |
About Wei Wu
Wei Wu is a scholar working on Molecular Biology, Animal Science and Zoology, Genetics, Cellular and Molecular Neuroscience and Infectious Diseases, having authored 177 papers that have together received 12.5k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (19 papers), Cancer-related gene regulation (16 papers), RNA Research and Splicing (16 papers), RNA modifications and cancer (14 papers), RNA and protein synthesis mechanisms (12 papers), Virus-based gene therapy research (10 papers), Animal Virus Infections Studies (9 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Developmental Neuroscience (655 citations), Molecular Biology (9.1k citations), Aging (149 citations), Cellular and Molecular Neuroscience (1.5k citations) and Genetics (2.3k citations). Wei Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Christof Niehrs, Andrei Glinka, Peter Stannek, Lars M. Steinmetz, Hajo Delius, Claudia Blumenstock, A. Paula Monaghan, Bingyu Mao, Vicent Pelechano and Gary Davidson. Their work appears in journals such as Nature, Journal of Biological Chemistry, Cell, Nature Communications and Cell Reports.
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.