Cen Wu
Impact in
- Statistics and Probability top 2%
- Statistical Methods and Inference
- Cancer Research top 10%
Papers in
-
- Gene expression and cancer classification 11
- Bioinformatics and Genomic Networks 7
- Genetics 21
- Genetic and phenotypic traits in livestock 14
- Genetic Associations and Epidemiology 13
- Genetic Mapping and Diversity in Plants and Animals 9
- Co-authors
- Shuangge Ma (16 shared papers)Yu Jiang (10 shared papers)Yuehua Cui (6 shared papers)Fei Zhou (9 shared papers)Xiaoxi Li (3 shared papers)Jie Ren (2 shared papers)Jie Ren (6 shared papers)Hongbo Liu (2 shared papers)
- Journals
- Statistics in Medicine (5 papers)Frontiers in Genetics (4 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)Genetic Epidemiology (2 papers)Arabian Journal of Chemistry (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Cen Wu
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 103
- Statistics and Probability 162
- Cancer Research 201
- Molecular Biology 696
- Genetics 230
- Oncology 207
Countries citing papers authored by Cen Wu
This map shows the geographic impact of Cen 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 Cen Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cen Wu more than expected).
Fields of papers citing papers by Cen Wu
This network shows the impact of papers produced by Cen 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 Cen Wu. The network helps show where Cen Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Cen 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 286 | |
| 2 | 2019 | 165 | |
| 3 | 2019 | 138 | |
| 4 | 2014 | 80 | |
| 5 | 2017 | 45 | |
| 6 | 2024 | 44 | |
| 7 | 2019 | 39 | |
| 8 | 2017 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2014 | 26 | |
| 12 | 2015 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2017 | 22 | |
| 15 | 2018 | 20 | |
| 16 | 2019 | 20 | |
| 17 | 2019 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2017 | 17 |
About Cen Wu
Cen Wu is a scholar working on Molecular Biology, Genetics, Statistics and Probability, Pulmonary and Respiratory Medicine and Epidemiology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Genetic Associations and Epidemiology (13 papers), Gene expression and cancer classification (11 papers), Statistical Methods and Inference (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), Bioinformatics and Genomic Networks (7 papers), Ferroptosis and cancer prognosis (5 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Statistics and Probability (162 citations), Cancer Research (201 citations), Molecular Biology (696 citations), Genetics (230 citations) and Oncology (207 citations). Cen Wu has collaborated with scholars based in China and United States. Frequent co-authors include Shuangge Ma, Yu Jiang, Yuehua Cui, Fei Zhou, Xiaoxi Li, Jie Ren, Jie Ren, Hongbo Liu, Xiaoman Xu and Li Zhao. Their work appears in journals such as Statistics in Medicine, Frontiers in Genetics, Statistical Applications in Genetics and Molecular Biology, Genetic Epidemiology and Arabian Journal of Chemistry.
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.