Xiaobo Lu
Impact in
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Jie Weng (4 shared papers)Ke Duan (3 shared papers)Taijun Chen (2 shared papers)Meiyun Tan (2 shared papers)Lian Tang (3 shared papers)Ge Chen (1 shared paper)Zhong Li (1 shared paper)Bo Feng (1 shared paper)
In The Last Decade
Xiaobo Lu
19 papers receiving 446 citations
Peers
Comparison fields: 5 of 85
- Biomaterials 95
- Cancer Research 93
- Molecular Medicine 21
- Rehabilitation 22
- Urology 17
Countries citing papers authored by Xiaobo Lu
This map shows the geographic impact of Xiaobo Lu'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 Xiaobo Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobo Lu more than expected).
Fields of papers citing papers by Xiaobo Lu
This network shows the impact of papers produced by Xiaobo Lu. 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 Xiaobo Lu. The network helps show where Xiaobo Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaobo Lu, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2017 | 59 | |
| 3 | 2018 | 45 | |
| 4 | 2018 | 44 | |
| 5 | 2018 | 41 | |
| 6 | 2017 | 34 | |
| 7 | 2016 | 34 | |
| 8 | 2019 | 28 | |
| 9 | MiR-30a attenuates osteoclastogenesis via targeting DC-STAMP-c-Fos-NFATc1 signaling. | 2017 | 26 |
| 10 | 2017 | 15 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 8 | |
| 13 | IGF-1R promotes the expression of cyclin D1 protein and accelerates the G1/S transition by activating Ras/Raf/MEK/ERK signaling pathway. | 2017 | 6 |
| 14 | 2023 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 0 |
About Xiaobo Lu
Xiaobo Lu is a scholar working on Cancer Research, Molecular Biology, Biomedical Engineering, Surgery and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 449 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), 3D Printing in Biomedical Research (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Vision and Imaging (2 papers), Bone Tissue Engineering Materials (2 papers), Computer Graphics and Visualization Techniques (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Biomaterials (95 citations), Cancer Research (93 citations), Molecular Medicine (21 citations), Rehabilitation (22 citations) and Urology (17 citations). Xiaobo Lu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Jie Weng, Ke Duan, Taijun Chen, Meiyun Tan, Lian Tang, Ge Chen, Zhong Li, Bo Feng, Jianxin Wang and Zhong Li. Their work appears in journals such as Pattern Recognition, Journal of Alloys and Compounds, IUBMB Life, Cellular Physiology and Biochemistry and Emerging infectious diseases.
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.