Xiaosong Lan
Impact in
- Otorhinolaryngology top 10%
- Head and Neck Cancer Studies
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 3
- Advanced Neuroimaging Techniques and Applications 2
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- Head and Neck Cancer Studies 2
- Co-authors
- Jiuquan Zhang (25 shared papers)Daihong Liu (13 shared papers)Hesong Shen (9 shared papers)Jianqing Sun (2 shared papers)Yong Aaron Tan (6 shared papers)Lan Li (3 shared papers)Junli Tao (4 shared papers)Xiaoyue Zhang (2 shared papers)
In The Last Decade
Xiaosong Lan
28 papers receiving 289 citations
Peers
Comparison fields: 5 of 43
- Otorhinolaryngology 28
- Radiology, Nuclear Medicine and Imaging 115
- Obstetrics and Gynecology 33
- Health Informatics 5
- Hepatology 17
Countries citing papers authored by Xiaosong Lan
This map shows the geographic impact of Xiaosong Lan'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 Xiaosong Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaosong Lan more than expected).
Fields of papers citing papers by Xiaosong Lan
This network shows the impact of papers produced by Xiaosong Lan. 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 Xiaosong Lan. The network helps show where Xiaosong Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaosong Lan, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 46 | |
| 2 | 2020 | 43 | |
| 3 | 2022 | 24 | |
| 4 | 2022 | 19 | |
| 5 | 2022 | 17 | |
| 6 | 2021 | 15 | |
| 7 | 2022 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2017 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Xiaosong Lan
Xiaosong Lan is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology, Anesthesiology and Pain Medicine, Hepatology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 292 indexed citations. Recurring topics across this work include Cancer-related cognitive impairment studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Advanced X-ray and CT Imaging (3 papers), Head and Neck Cancer Studies (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Pain Management and Opioid Use (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Advanced Neuroimaging Techniques and Applications (2 papers). The work is most often cited by research in Otorhinolaryngology (28 citations), Radiology, Nuclear Medicine and Imaging (115 citations), Obstetrics and Gynecology (33 citations), Health Informatics (5 citations) and Hepatology (17 citations). Xiaosong Lan has collaborated with scholars based in China, Germany and Spain. Frequent co-authors include Jiuquan Zhang, Daihong Liu, Hesong Shen, Jianqing Sun, Yong Aaron Tan, Lan Li, Junli Tao, Xiaoyue Zhang, Zhenyu Wang and Ke Yin. Their work appears in journals such as Frontiers in Oncology, Insights into Imaging, Diagnostic and Interventional Imaging, European Journal of Radiology and Brain Imaging and Behavior.
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.