Ming-Yu Fan
- Public Health, Environmental and Occupational Health top 1%
- Clinical Psychology top 2%
- Social Psychology top 1%
- Epidemiology top 5%
- Anesthesiology and Pain Medicine top 0.5%
- Co-authors
- Wayne KatonJennifer MelvilleFrederick P. RivaraBradley C. MartinAndrea DeVriesJennifer Brennan BradenMark J. EdlundMark D. Sullivan
- Topics
- Pain Management and Opioid Use (7 papers)Musculoskeletal pain and rehabilitation (7 papers)Opioid Use Disorder Treatment (7 papers)
- Cited by
- Anesthesiology and Pain MedicineClinical PsychologyPublic Health, Environmental and Occupational Health
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Ming-Yu Fan
37 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 120
- Public Health, Environmental and Occupational Health 1.5k
- Clinical Psychology 1.1k
- Social Psychology 793
- Epidemiology 697
- Anesthesiology and Pain Medicine 592
Countries citing papers authored by Ming-Yu Fan
This map shows the geographic impact of Ming-Yu Fan'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-Yu Fan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Yu Fan more than expected).
Fields of papers citing papers by Ming-Yu Fan
This network shows the impact of papers produced by Ming-Yu Fan. 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-Yu Fan. The network helps show where Ming-Yu Fan may publish in the future.
Co-authorship network of co-authors of Ming-Yu Fan
This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Yu Fan. A scholar is included among the top collaborators of Ming-Yu Fan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming-Yu Fan. Ming-Yu Fan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 172 | |
| 2 | 248 | |
| 3 | 190 | |
| 4 | 35 | |
| 5 | 9 | |
| 6 | 92 | |
| 7 | 44 | |
| 8 | 44 | |
| 9 | 20 | |
| 10 | 71 | |
| 11 | 33 | |
| 12 | 126 | |
| 13 | 5 | |
| 14 | 74 | |
| 15 | 46 | |
| 16 | 138 | |
| 17 | 21 | |
| 18 | 43 | |
| 19 | 164 | |
| 20 | 427 |
About Ming-Yu Fan
Ming-Yu Fan is a scholar working on Anesthesiology and Pain Medicine, Emergency Medicine and Neuropsychology and Physiological Psychology, having authored 37 papers that have together received 4.1k indexed citations. Recurring topics across this work include Pain Management and Opioid Use (7 papers), Musculoskeletal pain and rehabilitation (7 papers) and Opioid Use Disorder Treatment (7 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (592 citations), Clinical Psychology (1.1k citations) and Public Health, Environmental and Occupational Health (1.5k citations). Ming-Yu Fan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Wayne Katon, Jennifer Melville, Frederick P. Rivara, Bradley C. Martin, Andrea DeVries, Jennifer Brennan Braden, Mark J. Edlund, Mark D. Sullivan, Gwen M. Glew and Amelia R. Gavin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Diabetes Care and PEDIATRICS.
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.