Ming Long Yao
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Physiology top 10%
- Pain Mechanisms and Treatments
Papers in
- Physiology 24
- Pain Mechanisms and Treatments 16
- Sympathectomy and Hyperhidrosis Treatments 7
- Epidemiology 19
- Herpesvirus Infections and Treatments 13
- Co-authors
- Shridar Ganesan (5 shared papers)Huadong Ni (33 shared papers)Bing Q. Huang (16 shared papers)Vasudeva Ginjala (2 shared papers)Atul Kulkarni (2 shared papers)Jay H Oza (2 shared papers)Longsheng Xu (21 shared papers)Keiichiro Adachi (3 shared papers)
- Journals
- Journal of Pain Research (8 papers)Frontiers in Pharmacology (5 papers)Macromolecules (4 papers)Journal of Medical Virology (2 papers)Trials (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ming Long Yao
127 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 147
- Cancer Research 240
- Physiology 329
- Fluid Flow and Transfer Processes 84
- Anesthesiology and Pain Medicine 60
- Molecular Biology 705
Countries citing papers authored by Ming Long Yao
This map shows the geographic impact of Ming Long 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 Long 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 Long Yao more than expected).
Fields of papers citing papers by Ming Long Yao
This network shows the impact of papers produced by Ming Long 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 Long Yao. The network helps show where Ming Long Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Long 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 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 218 | |
| 2 | 2013 | 161 | |
| 3 | 2015 | 118 | |
| 4 | 2015 | 73 | |
| 5 | 2011 | 65 | |
| 6 | 2009 | 62 | |
| 7 | 1991 | 58 | |
| 8 | 2013 | 58 | |
| 9 | 1997 | 50 | |
| 10 | 2020 | 46 | |
| 11 | 2018 | 40 | |
| 12 | 2014 | 39 | |
| 13 | 2019 | 39 | |
| 14 | 2017 | 38 | |
| 15 | 2015 | 37 | |
| 16 | 2022 | 37 | |
| 17 | 2017 | 36 | |
| 18 | 2011 | 33 | |
| 19 | 1991 | 31 | |
| 20 | 2018 | 30 |
About Ming Long Yao
Ming Long Yao is a scholar working on Physiology, Epidemiology, Pathology and Forensic Medicine, Cancer Research and Neurology, having authored 137 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Herpesvirus Infections and Treatments (13 papers), Trigeminal Neuralgia and Treatments (10 papers), Sympathectomy and Hyperhidrosis Treatments (7 papers), Cancer-related molecular mechanisms research (5 papers), Pain Management and Opioid Use (4 papers), Facial Nerve Paralysis Treatment and Research (4 papers) and Healthcare and Venom Research (4 papers). The work is most often cited by research in Cancer Research (240 citations), Physiology (329 citations), Fluid Flow and Transfer Processes (84 citations), Anesthesiology and Pain Medicine (60 citations) and Molecular Biology (705 citations). Ming Long Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shridar Ganesan, Huadong Ni, Bing Q. Huang, Vasudeva Ginjala, Atul Kulkarni, Jay H Oza, Longsheng Xu, Keiichiro Adachi, Hiroshi Watanabe and Tadao Kotaka. Their work appears in journals such as Journal of Pain Research, Frontiers in Pharmacology, Macromolecules, Journal of Medical Virology and Trials.
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.