Song Xue
- Geriatrics and Gerontology top 2%
- Sirtuins and Resveratrol in Medicine 8
- Water Science and Technology top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 7
- Nephrology top 5%
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- Osteoarthritis Treatment and Mechanisms 12
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- RNA Interference and Gene Delivery 7
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- Cancer Immunotherapy and Biomarkers 7
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- Glioma Diagnosis and Treatment 6
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- Lung Cancer Treatments and Mutations 5
- Journals
- Journal of Clinical Oncology (6 papers)European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Annals of Oncology (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Song Xue
111 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Geriatrics and Gerontology 142
- Water Science and Technology 388
- Cancer Research 294
- Nephrology 114
- Renewable Energy, Sustainability and the Environment 224
Countries citing papers authored by Song Xue
This map shows the geographic impact of Song Xue'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 Song Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Xue more than expected).
Fields of papers citing papers by Song Xue
This network shows the impact of papers produced by Song Xue. 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 Song Xue. The network helps show where Song Xue may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 2 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 16 | |
| 9 | 2024 | 13 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 2 | |
| 16 | 2022 | 38 | |
| 17 | 2021 | 8 | |
| 18 | 2021 | 64 | |
| 19 | 2018 | 38 | |
| 20 | 2015 | 20 |
About Song Xue
Song Xue is a scholar working on Geriatrics and Gerontology, Cancer Research, Rheumatology, Oncology and Nephrology, having authored 118 papers that have together received 2.4k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (12 papers), Cancer-related molecular mechanisms research (9 papers), Sirtuins and Resveratrol in Medicine (8 papers), RNA Interference and Gene Delivery (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), MicroRNA in disease regulation (7 papers), Glioma Diagnosis and Treatment (6 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Geriatrics and Gerontology (142 citations), Water Science and Technology (388 citations), Cancer Research (294 citations), Nephrology (114 citations) and Renewable Energy, Sustainability and the Environment (224 citations). Song Xue has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mengfang Chen, Lu Han, Weiguo Gao, Jingchun Yan, Jinzhong Ma, Weilin Sang, Libo Zhu, Haiming Lu, Mo‐Li Wu and Qing‐You Kong. Their work appears in journals such as Journal of Clinical Oncology, European Journal of Nuclear Medicine and Molecular Imaging, Annals of Oncology, Oncotarget and Scientific Reports.
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.