Laijun Song
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Genetics top 10%
- Mesenchymal stem cell research
- Glioma Diagnosis and Treatment
Papers in
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Fuyou Guo (11 shared papers)Bo Yang (6 shared papers)Yongli Lou (2 shared papers)Xinbin Guo (8 shared papers)Bo Yang (2 shared papers)Xiang Hu (4 shared papers)Fangxia Guan (4 shared papers)Xinting Wei (3 shared papers)
- Journals
- Journal of Stroke and Cerebrovascular Diseases (3 papers)Clinical Neurology and Neurosurgery (3 papers)Neurological Sciences (2 papers)Journal of Biochemical and Molecular Toxicology (1 paper)Saudi Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Laijun Song
46 papers receiving 696 citations
Peers
Comparison fields: 5 of 97
- Cancer Research 154
- Genetics 92
- Neurology 97
- Internal Medicine 23
- Pharmacology 34
Countries citing papers authored by Laijun Song
This map shows the geographic impact of Laijun Song'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 Laijun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laijun Song more than expected).
Fields of papers citing papers by Laijun Song
This network shows the impact of papers produced by Laijun Song. 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 Laijun Song. The network helps show where Laijun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Laijun Song, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 51 | |
| 2 | 2015 | 45 | |
| 3 | 2011 | 44 | |
| 4 | 2012 | 40 | |
| 5 | 2016 | 38 | |
| 6 | 2016 | 33 | |
| 7 | 2013 | 33 | |
| 8 | 2015 | 26 | |
| 9 | 2013 | 24 | |
| 10 | 2007 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2021 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2012 | 18 | |
| 17 | 2017 | 18 | |
| 18 | 2017 | 17 | |
| 19 | 2011 | 17 | |
| 20 | 2019 | 17 |
About Laijun Song
Laijun Song is a scholar working on Cancer Research, Molecular Biology, Genetics, Neurology and Epidemiology, having authored 49 papers that have together received 711 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), MicroRNA in disease regulation (6 papers), Meningioma and schwannoma management (4 papers), Pituitary Gland Disorders and Treatments (4 papers), Spinal Dysraphism and Malformations (4 papers), Neuroblastoma Research and Treatments (4 papers), Cancer-related molecular mechanisms research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Cancer Research (154 citations), Genetics (92 citations), Neurology (97 citations), Internal Medicine (23 citations) and Pharmacology (34 citations). Laijun Song has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Fuyou Guo, Bo Yang, Yongli Lou, Xinbin Guo, Bo Yang, Xiang Hu, Fangxia Guan, Xinting Wei, Hui Zhang and Xianzhi Liu. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Clinical Neurology and Neurosurgery, Neurological Sciences, Journal of Biochemical and Molecular Toxicology and Saudi Journal of Biological Sciences.
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.