Wu Yao
- Molecular Biology top 5%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Physiology top 10%
- Immunology top 10%
- Topics
- Occupational and environmental lung diseases (34 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (34 papers)Cancer-related molecular mechanisms research (18 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wu Yao
231 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 178
- Molecular Biology 1.4k
- Cancer Research 649
- Pulmonary and Respiratory Medicine 561
- Physiology 365
- Immunology 341
Countries citing papers authored by Wu Yao
This map shows the geographic impact of Wu Yao'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 Wu Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Yao more than expected).
Fields of papers citing papers by Wu Yao
This network shows the impact of papers produced by Wu Yao. 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 Wu Yao. The network helps show where Wu Yao may publish in the future.
Co-authorship network of co-authors of Wu Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Wu Yao. A scholar is included among the top collaborators of Wu Yao 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 Wu Yao. Wu Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 47 | |
| 12 | 6 | |
| 13 | 131 | |
| 14 | 25 | |
| 15 | Protein content stability analysis in soybean through GGE biplot. | 1 |
| 16 | Microsatellite markers for parentage identification of cross-breeding carp (Cyprinus carpio) in a selective breeding programme. | 1 |
| 17 | Construction and identification of human phage single-chain antibody library for pneumoconiosis | 1 |
| 18 | Progress of research on the chemical components and pharmaceutical action of walnut kernel | 1 |
| 19 | Cellulose Biosynthesis in Developing Cotton Fibers | 7 |
| 20 | Detecting Polymorphism among Upland Cotton (Gossypium hirsutum L.)Cultivars and Their Roles in Seed Purity of Hybrids with SSR Markers | 4 |
About Wu Yao
Wu Yao is a scholar working on Aging, Cancer Research and Pulmonary and Respiratory Medicine, having authored 244 papers that have together received 3.6k indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (34 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (34 papers) and Cancer-related molecular mechanisms research (18 papers). The work is most often cited by research in Cancer Research (649 citations), Geriatrics and Gerontology (104 citations) and Aging (44 citations). Wu Yao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Changfu Hao, Lean Yu, Ling Tang, Jide Wang, Qingqing Yan, Meiyan Wu, Side Liu, Lei Bao, Ying Peng and Hui‐Xin Wang. Their work appears in journals such as Journal of Biological Chemistry, Journal of the American College of Cardiology and PLoS ONE.
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.