Keliang Wu
- Molecular Biology
- Public Health, Environmental and Occupational Health top 5%
- Reproductive Medicine top 2%
- Pediatrics, Perinatology and Child Health top 5%
- Renewable Energy, Sustainability and the Environment top 10%
- Topics
- Reproductive Biology and Fertility (37 papers)Assisted Reproductive Technology and Twin Pregnancy (16 papers)Prenatal Screening and Diagnostics (12 papers)
- Cited by
- Reproductive MedicinePublic Health, Environmental and Occupational HealthRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Keliang Wu
71 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 553
- Public Health, Environmental and Occupational Health 478
- Reproductive Medicine 336
- Pediatrics, Perinatology and Child Health 236
- Renewable Energy, Sustainability and the Environment 235
Countries citing papers authored by Keliang Wu
This map shows the geographic impact of Keliang 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 Keliang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keliang Wu more than expected).
Fields of papers citing papers by Keliang Wu
This network shows the impact of papers produced by Keliang 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 Keliang Wu. The network helps show where Keliang Wu may publish in the future.
Co-authorship network of co-authors of Keliang Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Keliang Wu. A scholar is included among the top collaborators of Keliang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keliang Wu. Keliang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 29 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 32 | |
| 11 | 30 | |
| 12 | 108 | |
| 13 | 142 | |
| 14 | 22 | |
| 15 | 20 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 41 | |
| 19 | 9 | |
| 20 | 3 |
About Keliang Wu
Keliang Wu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 79 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (37 papers), Assisted Reproductive Technology and Twin Pregnancy (16 papers) and Prenatal Screening and Diagnostics (12 papers). The work is most often cited by research in Reproductive Medicine (336 citations), Public Health, Environmental and Occupational Health (478 citations) and Renewable Energy, Sustainability and the Environment (235 citations). Keliang Wu has collaborated with scholars based in China, United States and France. Frequent co-authors include Zi‐Jiang Chen, Zhiyong Liu, Jianning Wu, Xuhong Guo, Mei Li, Guihua Meng, Han Zhao, Pengcheng Wu, Zhenzhen Hou and Guanling Yu. Their work appears in journals such as Cell, Nature Communications and Nature Genetics.
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.