Yaying Hao
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Circular RNAs in diseases
Papers in
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- Extracellular vesicles in disease 7
- RNA Interference and Gene Delivery 2
- RNA modifications and cancer 2
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- MicroRNA in disease regulation 4
- Co-authors
- Guiquan Zhu (6 shared papers)Chuanshi He (5 shared papers)Wanrong Meng (6 shared papers)Linlin Wang (3 shared papers)Ling Li (2 shared papers)Ling Li (1 shared paper)Bangrong Cao (3 shared papers)Longjiang Li (2 shared papers)
In The Last Decade
Yaying Hao
13 papers receiving 885 citations
Yaying Hao's Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 368
- Molecular Biology 660
- Immunology 112
- Biomaterials 70
- Rehabilitation 27
Countries citing papers authored by Yaying Hao
This map shows the geographic impact of Yaying Hao'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 Yaying Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaying Hao more than expected).
Fields of papers citing papers by Yaying Hao
This network shows the impact of papers produced by Yaying Hao. 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 Yaying Hao. The network helps show where Yaying Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaying Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Prospects and challenges of extracellular vesicle-based drug delivery system: considering cell source Hit paper breakdown → | 2020 | 468 |
| 2 | 2019 | 215 | |
| 3 | A Smart MMP‐9‐responsive Hydrogel Releasing M2 Macrophage‐derived Exosomes for Diabetic Wound Healing Hit paper breakdown → | 2025 | 45 |
| 4 | 2021 | 45 | |
| 5 | 2021 | 33 | |
| 6 | 2021 | 30 | |
| 7 | 2022 | 17 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2022 | 7 | |
| 11 | 2023 | 5 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 2 |
About Yaying Hao
Yaying Hao is a scholar working on Molecular Biology, Cancer Research, Rehabilitation, Endocrinology, Diabetes and Metabolism and Immunology, having authored 13 papers that have together received 890 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (4 papers), Wound Healing and Treatments (2 papers), RNA Interference and Gene Delivery (2 papers), Diabetic Foot Ulcer Assessment and Management (2 papers), Immune cells in cancer (2 papers), RNA modifications and cancer (2 papers) and Electrospun Nanofibers in Biomedical Applications (1 paper). The work is most often cited by research in Cancer Research (368 citations), Molecular Biology (660 citations), Immunology (112 citations), Biomaterials (70 citations) and Rehabilitation (27 citations). Yaying Hao has collaborated with scholars based in China and Mexico. Frequent co-authors include Guiquan Zhu, Chuanshi He, Wanrong Meng, Linlin Wang, Ling Li, Ling Li, Bangrong Cao, Longjiang Li, Xin‐hua Liang and Ling Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cancer Letters, Frontiers in Bioengineering and Biotechnology, Drug Delivery and Cell Proliferation.
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.