Xiaonan Cui
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Lung Cancer Diagnosis and Treatment 14
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- Cancer therapeutics and mechanisms 5
- Co-authors
- Zhaoxiang Ye (22 shared papers)Brenda E. Porter (2 shared papers)Matthijs Oudkerk (13 shared papers)Sunyi Zheng (14 shared papers)Rozemarijn Vliegenthart (11 shared papers)Amy R. Brooks‐Kayal (1 shared paper)Wenjuan Ma (4 shared papers)Geertruida H. de Bock (11 shared papers)
- Journals
- European Journal of Radiology (5 papers)Frontiers in Oncology (4 papers)World Journal of Gastroenterology (3 papers)RSC Advances (2 papers)Translational Lung Cancer Research (2 papers)
- Partner nations
- ChinaNetherlandsUnited States
In The Last Decade
Xiaonan Cui
65 papers receiving 788 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 138
- Developmental Neuroscience 25
- Pulmonary and Respiratory Medicine 139
- Oncology 115
- Toxicology 15
Countries citing papers authored by Xiaonan Cui
This map shows the geographic impact of Xiaonan Cui'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 Xiaonan Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Cui more than expected).
Fields of papers citing papers by Xiaonan Cui
This network shows the impact of papers produced by Xiaonan Cui. 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 Xiaonan Cui. The network helps show where Xiaonan Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaonan Cui, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 54 | |
| 2 | 2017 | 45 | |
| 3 | 2012 | 42 | |
| 4 | 2020 | 40 | |
| 5 | 2015 | 36 | |
| 6 | 2006 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2015 | 24 | |
| 11 | 2013 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2021 | 23 | |
| 14 | 2009 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 19 | |
| 17 | 2008 | 19 | |
| 18 | 2019 | 18 | |
| 19 | 2016 | 16 | |
| 20 | 2020 | 15 |
About Xiaonan Cui
Xiaonan Cui is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Toxicology, having authored 69 papers that have together received 802 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Bioactive Compounds and Antitumor Agents (5 papers), Cancer therapeutics and mechanisms (5 papers), Lung Cancer Research Studies (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Soil and Unsaturated Flow (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (138 citations), Developmental Neuroscience (25 citations), Pulmonary and Respiratory Medicine (139 citations), Oncology (115 citations) and Toxicology (15 citations). Xiaonan Cui has collaborated with scholars based in China, Netherlands and United States. Frequent co-authors include Zhaoxiang Ye, Brenda E. Porter, Matthijs Oudkerk, Sunyi Zheng, Rozemarijn Vliegenthart, Amy R. Brooks‐Kayal, Wenjuan Ma, Geertruida H. de Bock, Grigory Sidorenkov and Marjolein A. Heuvelmans. Their work appears in journals such as European Journal of Radiology, Frontiers in Oncology, World Journal of Gastroenterology, RSC Advances and Translational Lung Cancer Research.
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.