Libo Xu
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Reproductive Medicine top 10%
- Ovarian cancer diagnosis and treatment
Papers in
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- RNA Interference and Gene Delivery 3
- Epigenetics and DNA Methylation 3
- Protein Degradation and Inhibitors 2
- Oncology 10
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Baofeng Guo (16 shared papers)Xiaofeng Wang (1 shared paper)Shanshan Hu (1 shared paper)Su Ruan (1 shared paper)Chun Yang (1 shared paper)Huijuan Tang (1 shared paper)Jiye Cai (1 shared paper)Jingjing Guo (1 shared paper)
- Journals
- Biochemical Pharmacology (3 papers)Clinical Epigenetics (1 paper)Virus Research (1 paper)International Journal of Medical Sciences (1 paper)International Journal of Machine Learning and Cybernetics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Libo Xu
40 papers receiving 517 citations
Peers
Comparison fields: 5 of 98
- Cancer Research 124
- Reproductive Medicine 53
- Oncology 133
- Molecular Biology 252
- Genetics 27
Countries citing papers authored by Libo Xu
This map shows the geographic impact of Libo Xu'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 Libo Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Libo Xu more than expected).
Fields of papers citing papers by Libo Xu
This network shows the impact of papers produced by Libo Xu. 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 Libo Xu. The network helps show where Libo Xu may publish in the future.
Co-authors
The 25 scholars most cited alongside Libo Xu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2019 | 68 | |
| 3 | 2021 | 45 | |
| 4 | 2016 | 29 | |
| 5 | 2024 | 20 | |
| 6 | 2015 | 17 | |
| 7 | 2020 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2015 | 14 | |
| 10 | 2019 | 13 | |
| 11 | 2022 | 12 | |
| 12 | 2016 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2017 | 11 | |
| 15 | 2011 | 10 | |
| 16 | 2023 | 8 | |
| 17 | 2017 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2022 | 5 |
About Libo Xu
Libo Xu is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Computer Vision and Pattern Recognition, having authored 45 papers that have together received 520 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (4 papers), RNA Interference and Gene Delivery (3 papers), Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Protein Degradation and Inhibitors (2 papers) and Extenics and Innovation Methods (2 papers). The work is most often cited by research in Cancer Research (124 citations), Reproductive Medicine (53 citations), Oncology (133 citations), Molecular Biology (252 citations) and Genetics (27 citations). Libo Xu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baofeng Guo, Xiaofeng Wang, Shanshan Hu, Su Ruan, Chun Yang, Huijuan Tang, Jiye Cai, Jingjing Guo, Ding Wang and Hang Liang. Their work appears in journals such as Biochemical Pharmacology, Clinical Epigenetics, Virus Research, International Journal of Medical Sciences and International Journal of Machine Learning and Cybernetics.
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.