Weihong Song
- Physiology top 0.2%
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Neurology top 0.5%
- Pharmacology top 0.5%
- Co-authors
- Weihui ZhouFang CaiXiulian SunKelley Bromley‐BritsYu DengYili WuBruce A. YanknerKeenan Sterling
- Topics
- Alzheimer's disease research and treatments (80 papers)Neuroinflammation and Neurodegeneration Mechanisms (24 papers)Genetics and Neurodevelopmental Disorders (23 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Weihong Song
262 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 182
- Physiology 5.0k
- Molecular Biology 4.5k
- Cellular and Molecular Neuroscience 2.0k
- Neurology 1.5k
- Pharmacology 1.4k
Countries citing papers authored by Weihong Song
This map shows the geographic impact of Weihong 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 Weihong Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihong Song more than expected).
Fields of papers citing papers by Weihong Song
This network shows the impact of papers produced by Weihong 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 Weihong Song. The network helps show where Weihong Song may publish in the future.
Co-authorship network of co-authors of Weihong Song
This figure shows the co-authorship network connecting the top 25 collaborators of Weihong Song. A scholar is included among the top collaborators of Weihong Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weihong Song. Weihong Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 11 | |
| 4 | 0 | |
| 5 | 11 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | Suppression of microRNA-101 attenuates hypoxia-induced myocardial H9c2 cell injury by targeting DIMT1-Sp1/survivin pathway | 6 |
| 13 | 16 | |
| 14 | 40 | |
| 15 | 7 | |
| 16 | 61 | |
| 17 | 10 | |
| 18 | 53 | |
| 19 | 12 | |
| 20 | 79 |
About Weihong Song
Weihong Song is a scholar working on Biological Psychiatry, Physiology and Neurology, having authored 286 papers that have together received 11.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (80 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Genetics and Neurodevelopmental Disorders (23 papers). The work is most often cited by research in Biological Psychiatry (653 citations), Physiology (5.0k citations) and Neurology (1.5k citations). Weihong Song has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Weihui Zhou, Fang Cai, Xiulian Sun, Kelley Bromley‐Brits, Yu Deng, Yili Wu, Bruce A. Yankner, Keenan Sterling, Hong Qing and Yun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.