Wu Yao
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 2%
Papers in
-
- Extracellular vesicles in disease 10
- RNA modifications and cancer 10
- Circular RNAs in diseases 9
-
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 30
- Occupational and environmental lung diseases 28
- Co-authors
- Changfu Hao (64 shared papers)Ling Tang (3 shared papers)Lean Yu (3 shared papers)Jide Wang (10 shared papers)Qingqing Yan (6 shared papers)Side Liu (7 shared papers)Ying Peng (6 shared papers)Lei Bao (18 shared papers)
- Journals
- Ecotoxicology and Environmental Safety (18 papers)Chemosphere (7 papers)Environmental Pollution (5 papers)Oncotarget (5 papers)International Journal of Biological Macromolecules (4 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Wu Yao
238 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 178
- Cancer Research 565
- Geriatrics and Gerontology 96
- Aging 40
- Molecular Biology 1.3k
- Pulmonary and Respiratory Medicine 534
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-authors
The 25 scholars most cited alongside Wu Yao, 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 249 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 212 | |
| 2 | 2020 | 139 | |
| 3 | 2018 | 135 | |
| 4 | 2017 | 125 | |
| 5 | 2013 | 77 | |
| 6 | 2020 | 77 | |
| 7 | 2017 | 75 | |
| 8 | 2015 | 73 | |
| 9 | 2016 | 68 | |
| 10 | 2018 | 62 | |
| 11 | 2018 | 59 | |
| 12 | 2019 | 57 | |
| 13 | 2020 | 49 | |
| 14 | 2020 | 48 | |
| 15 | 2022 | 48 | |
| 16 | 2017 | 47 | |
| 17 | 2015 | 46 | |
| 18 | 2021 | 43 | |
| 19 | 2020 | 41 | |
| 20 | 2022 | 41 |
About Wu Yao
Wu Yao is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Physiology and Immunology, having authored 249 papers that have together received 3.8k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (30 papers), Occupational and environmental lung diseases (28 papers), Cancer-related molecular mechanisms research (17 papers), Telomeres, Telomerase, and Senescence (17 papers), MicroRNA in disease regulation (13 papers), Extracellular vesicles in disease (10 papers), RNA modifications and cancer (10 papers) and Circular RNAs in diseases (9 papers). The work is most often cited by research in Cancer Research (565 citations), Geriatrics and Gerontology (96 citations), Aging (40 citations), Molecular Biology (1.3k citations) and Pulmonary and Respiratory Medicine (534 citations). Wu Yao has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Changfu Hao, Ling Tang, Lean Yu, Jide Wang, Qingqing Yan, Side Liu, Ying Peng, Lei Bao, Meiyan Wu and Hui‐Xin Wang. Their work appears in journals such as Ecotoxicology and Environmental Safety, Chemosphere, Environmental Pollution, Oncotarget and International Journal of Biological Macromolecules.
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.