Dan Beverly Fu
Impact in
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- Corneal surgery and disorders
- Ophthalmology top 10%
- Intraocular Surgery and Lenses
Papers in
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- Corneal surgery and disorders 18
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- Neurotransmitter Receptor Influence on Behavior 3
- Co-authors
- Xingtao Zhou (23 shared papers)Xuan Ding (4 shared papers)Huamao Miao (2 shared papers)Jianmin Shang (8 shared papers)Meiyan Li (7 shared papers)Xiaoying Wang (1 shared paper)Yu Zhao (6 shared papers)Li Zeng (5 shared papers)
- Journals
- BMC Ophthalmology (4 papers)Frontiers in Medicine (2 papers)Translational Vision Science & Technology (2 papers)Annals of Translational Medicine (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dan Beverly Fu
52 papers receiving 566 citations
Peers
Comparison fields: 5 of 47
- Radiology, Nuclear Medicine and Imaging 152
- Ophthalmology 46
- Infectious Diseases 75
- Agronomy and Crop Science 31
- Nephrology 25
Countries citing papers authored by Dan Beverly Fu
This map shows the geographic impact of Dan Beverly Fu'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 Dan Beverly Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Beverly Fu more than expected).
Fields of papers citing papers by Dan Beverly Fu
This network shows the impact of papers produced by Dan Beverly Fu. 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 Dan Beverly Fu. The network helps show where Dan Beverly Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Beverly Fu, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 69 | |
| 2 | 2013 | 41 | |
| 3 | 2020 | 41 | |
| 4 | 2021 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 21 | |
| 8 | 2015 | 20 | |
| 9 | 2020 | 19 | |
| 10 | 2022 | 19 | |
| 11 | 2020 | 18 | |
| 12 | 2021 | 18 | |
| 13 | 2019 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2020 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2019 | 11 | |
| 19 | 2021 | 11 | |
| 20 | 2020 | 10 |
About Dan Beverly Fu
Dan Beverly Fu is a scholar working on Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience, Agronomy and Crop Science, Epidemiology and Toxicology, having authored 58 papers that have together received 586 indexed citations. Recurring topics across this work include Corneal surgery and disorders (18 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Gut microbiota and health (2 papers), Asthma and respiratory diseases (2 papers), Animal Disease Management and Epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Ophthalmology and Visual Impairment Studies (2 papers) and Cervical Cancer and HPV Research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (152 citations), Ophthalmology (46 citations), Infectious Diseases (75 citations), Agronomy and Crop Science (31 citations) and Nephrology (25 citations). Dan Beverly Fu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xingtao Zhou, Xuan Ding, Huamao Miao, Jianmin Shang, Meiyan Li, Xiaoying Wang, Yu Zhao, Li Zeng, Jing Zhao and Mi Tian. Their work appears in journals such as BMC Ophthalmology, Frontiers in Medicine, Translational Vision Science & Technology, Annals of Translational Medicine and Frontiers in Oncology.
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.