Cong Yao
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Neuroscience and Neural Engineering 5
- Co-authors
- Chun Zhang (4 shared papers)Haopeng Li (2 shared papers)Guoyu Wang (2 shared papers)Chunhui Yuan (10 shared papers)Yun Xiang (5 shared papers)Wei Luo (2 shared papers)Jianbo Shao (1 shared paper)Jun Wang (1 shared paper)
- Journals
- Translational Pediatrics (3 papers)Small (2 papers)Microchemical Journal (1 paper)Emerging Microbes & Infections (1 paper)European Journal of Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Cong Yao
32 papers receiving 590 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 116
- Infectious Diseases 108
- Obstetrics and Gynecology 36
- Cellular and Molecular Neuroscience 95
- Neurology 24
Countries citing papers authored by Cong Yao
This map shows the geographic impact of Cong 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 Cong Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cong Yao more than expected).
Fields of papers citing papers by Cong Yao
This network shows the impact of papers produced by Cong 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 Cong Yao. The network helps show where Cong Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Cong 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 116 | |
| 2 | 2016 | 108 | |
| 3 | Serum levels of microRNA-133b and microRNA-206 expression predict prognosis in patients with osteosarcoma. | 2014 | 60 |
| 4 | 2014 | 57 | |
| 5 | 2022 | 42 | |
| 6 | 2020 | 38 | |
| 7 | 2023 | 23 | |
| 8 | 2018 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 1992 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2019 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 1989 | 8 | |
| 18 | 2025 | 7 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 5 |
About Cong Yao
Cong Yao is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Biomedical Engineering, Nutrition and Dietetics and Infectious Diseases, having authored 36 papers that have together received 596 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Electrohydrodynamics and Fluid Dynamics (3 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Selenium in Biological Systems (3 papers), 3D Printing in Biomedical Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Cancer-related molecular mechanisms research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (116 citations), Infectious Diseases (108 citations), Obstetrics and Gynecology (36 citations), Cellular and Molecular Neuroscience (95 citations) and Neurology (24 citations). Cong Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chun Zhang, Haopeng Li, Guoyu Wang, Chunhui Yuan, Yun Xiang, Wei Luo, Jianbo Shao, Jun Wang, Xin Shen and Jiankang He. Their work appears in journals such as Translational Pediatrics, Small, Microchemical Journal, Emerging Microbes & Infections and European Journal of Nutrition.
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.