Ran Duan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Traditional Chinese Medicine Analysis
Papers in
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- Cerebrovascular and Carotid Artery Diseases 10
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- Metabolomics and Mass Spectrometry Studies 4
- Co-authors
- Xiaodong Wu (1 shared paper)Jianbing Ni (1 shared paper)Zhengzhao Liu (9 shared papers)Karl Wah Keung Tsim (14 shared papers)Hui Xie (4 shared papers)Huai‐You Wang (4 shared papers)Tina Ting-Xia Dong (5 shared papers)Amy G. W. Gong (2 shared papers)
- Journals
- BMC Neurology (3 papers)PLoS ONE (3 papers)Scientific Reports (2 papers)BMC Neuroscience (2 papers)Journal of NeuroInterventional Surgery (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ran Duan
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 143
- Health Informatics 60
- Complementary and alternative medicine 172
- Rheumatology 240
- Pharmacology 89
- Cancer Research 131
Countries citing papers authored by Ran Duan
This map shows the geographic impact of Ran Duan'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 Ran Duan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Duan more than expected).
Fields of papers citing papers by Ran Duan
This network shows the impact of papers produced by Ran Duan. 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 Ran Duan. The network helps show where Ran Duan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran Duan, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 143 | |
| 2 | 2020 | 116 | |
| 3 | 2018 | 78 | |
| 4 | 2021 | 77 | |
| 5 | 2006 | 64 | |
| 6 | 2017 | 62 | |
| 7 | 2018 | 48 | |
| 8 | 2015 | 41 | |
| 9 | 2016 | 36 | |
| 10 | 2009 | 34 | |
| 11 | 2018 | 34 | |
| 12 | 2012 | 29 | |
| 13 | 2020 | 26 | |
| 14 | Genetic diagnostic profiling in axial spondyloarthritis: a real world study. | 2017 | 24 |
| 15 | 2023 | 23 | |
| 16 | 2021 | 21 | |
| 17 | 2009 | 21 | |
| 18 | 2013 | 21 | |
| 19 | 2022 | 21 | |
| 20 | 2020 | 19 |
About Ran Duan
Ran Duan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Rheumatology, Neurology and Psychiatry and Mental health, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (10 papers), Intracranial Aneurysms: Treatment and Complications (8 papers), Moyamoya disease diagnosis and treatment (7 papers), Traditional Chinese Medicine Analysis (5 papers), Neurological Complications and Syndromes (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Complexity and Algorithms in Graphs (3 papers). The work is most often cited by research in Health Informatics (60 citations), Complementary and alternative medicine (172 citations), Rheumatology (240 citations), Pharmacology (89 citations) and Cancer Research (131 citations). Ran Duan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaodong Wu, Jianbing Ni, Zhengzhao Liu, Karl Wah Keung Tsim, Hui Xie, Huai‐You Wang, Tina Ting-Xia Dong, Amy G. W. Gong, Tina T. X. Dong and Seth Pettie. Their work appears in journals such as BMC Neurology, PLoS ONE, Scientific Reports, BMC Neuroscience and Journal of NeuroInterventional Surgery.
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.