Ming Yao
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Physiology top 5%
- Pain Mechanisms and Treatments
Papers in
-
- Pain Management and Opioid Use 7
- Neurology 23
- Botulinum Toxin and Related Neurological Disorders 10
- Facial Nerve Paralysis Treatment and Research 10
- Co-authors
- Huadong NiShridar GanesanBing HuangLongsheng XuVasudeva GinjalaJay OzaAtul KulkarniQiuli He
- Journals
- Journal of Pain Research (9 papers)Frontiers in Pharmacology (5 papers)Macromolecules (4 papers)Cancer Research (3 papers)Molecular Pain (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Yao
139 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 152
- Cancer Research 271
- Physiology 458
- Anesthesiology and Pain Medicine 94
- Fluid Flow and Transfer Processes 79
- Molecular Biology 797
Countries citing papers authored by Ming Yao
This map shows the geographic impact of Ming 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 Ming Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).
Fields of papers citing papers by Ming Yao
This network shows the impact of papers produced by Ming 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 Ming Yao. The network helps show where Ming Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 0 | |
| 11 | Analysis of Risk Factors and Construction of a Prediction Model of Motor Dysfunction Caused by Limb Herpes Zoster | 2022 | 3 |
| 12 | 2022 | 14 | |
| 13 | 2021 | 8 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 7 | |
| 16 | 2020 | 27 | |
| 17 | 2020 | 5 | |
| 18 | 2020 | 1 | |
| 19 | 2013 | 1 | |
| 20 | Experimental study on effects of intratumoral injection of paclitaxel-loaded poly (lactic-co-glycolic acid) microspheres on Hep-2 laryngeal squamous cell carcinoma xenografts in nude mice. | 2009 | 1 |
About Ming Yao
Ming Yao is a scholar working on Anesthesiology and Pain Medicine, Neurology, Pathology and Forensic Medicine, Physiology and Pharmacology, having authored 152 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (23 papers), Herpesvirus Infections and Treatments (20 papers), Healthcare and Venom Research (16 papers), Trigeminal Neuralgia and Treatments (14 papers), Botulinum Toxin and Related Neurological Disorders (10 papers), Facial Nerve Paralysis Treatment and Research (10 papers), Sympathectomy and Hyperhidrosis Treatments (10 papers) and Pain Management and Opioid Use (7 papers). The work is most often cited by research in Cancer Research (271 citations), Physiology (458 citations), Anesthesiology and Pain Medicine (94 citations), Fluid Flow and Transfer Processes (79 citations) and Molecular Biology (797 citations). Ming Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huadong Ni, Shridar Ganesan, Bing Huang, Longsheng Xu, Vasudeva Ginjala, Jay Oza, Atul Kulkarni, Qiuli He, Hiroshi Watanabe and Keiichiro Adachi. Their work appears in journals such as Journal of Pain Research, Frontiers in Pharmacology, Macromolecules, Cancer Research and Molecular Pain.
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.