Jun‐Yu Fan
Impact in
- Leadership and Management top 2%
- Research and Theory top 10%
Papers in
-
- Traumatic Brain Injury Research 2
- Restless Legs Syndrome Research 2
-
- Parkinson's Disease Mechanisms and Treatments 3
- Traumatic Brain Injury and Neurovascular Disturbances 2
- Co-authors
- Mei‐Yen Chen (7 shared papers)Wen‐Chun Liao (1 shared paper)Shu-Hui Lin (1 shared paper)Sui‐Whi Jane (9 shared papers)Li-Fen Chao (5 shared papers)Yih‐Ru Wu (5 shared papers)Li‐Ling Hsu (2 shared papers)Robert L. Burr (2 shared papers)
- Journals
- BMC Medical Education (2 papers)Journal of Nursing Scholarship (2 papers)Journal of Nursing Management (2 papers)Journal of Nursing Research (2 papers)Nurse Education Today (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Jun‐Yu Fan
38 papers receiving 779 citations
Peers
Comparison fields: 5 of 117
- Leadership and Management 24
- Research and Theory 15
- Neurology 110
- Occupational Therapy 22
- General Health Professions 127
Countries citing papers authored by Jun‐Yu Fan
This map shows the geographic impact of Jun‐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 Jun‐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 Jun‐Yu Fan more than expected).
Fields of papers citing papers by Jun‐Yu Fan
This network shows the impact of papers produced by Jun‐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 Jun‐Yu Fan. The network helps show where Jun‐Yu Fan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun‐Yu Fan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 159 | |
| 2 | 2014 | 86 | |
| 3 | 2011 | 77 | |
| 4 | 2016 | 44 | |
| 5 | 2008 | 42 | |
| 6 | 2016 | 37 | |
| 7 | 2015 | 34 | |
| 8 | 2017 | 33 | |
| 9 | 2020 | 32 | |
| 10 | 2013 | 29 | |
| 11 | 2010 | 26 | |
| 12 | 2023 | 19 | |
| 13 | 2010 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2019 | 14 | |
| 16 | 2012 | 13 | |
| 17 | 2009 | 13 | |
| 18 | 2011 | 12 | |
| 19 | 2013 | 12 | |
| 20 | 2014 | 10 |
About Jun‐Yu Fan
Jun‐Yu Fan is a scholar working on Epidemiology, Neurology, Rheumatology, General Health Professions and Radiological and Ultrasound Technology, having authored 45 papers that have together received 808 indexed citations. Recurring topics across this work include Family and Patient Care in Intensive Care Units (3 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Simulation-Based Education in Healthcare (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Folate and B Vitamins Research (2 papers), Traumatic Brain Injury Research (2 papers), Restless Legs Syndrome Research (2 papers) and Diagnosis and Treatment of Venous Diseases (2 papers). The work is most often cited by research in Leadership and Management (24 citations), Research and Theory (15 citations), Neurology (110 citations), Occupational Therapy (22 citations) and General Health Professions (127 citations). Jun‐Yu Fan has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Mei‐Yen Chen, Wen‐Chun Liao, Shu-Hui Lin, Sui‐Whi Jane, Li-Fen Chao, Yih‐Ru Wu, Li‐Ling Hsu, Robert L. Burr, Jane Wang and Pamela H. Mitchell. Their work appears in journals such as BMC Medical Education, Journal of Nursing Scholarship, Journal of Nursing Management, Journal of Nursing Research and Nurse Education Today.
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.