Sheng Song
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
- Biological Psychiatry top 10%
Papers in
- Neurology 15
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Parkinson's Disease Mechanisms and Treatments 5
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- Circadian rhythm and melatonin 4
- Co-authors
- Feifan ZhouWei R. ChenJau‐Shyong HongDa XingShengnan WuDaniel E. ResascoBelinda WilsonJong‐in Hahm
- Journals
- Langmuir (3 papers)Journal of Neuroinflammation (2 papers)Acta Biomaterialia (2 papers)Nanoscale (2 papers)Molecular Neurobiology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Sheng Song
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 136
- Neurology 218
- Biological Psychiatry 53
- Biomaterials 129
- Surfaces, Coatings and Films 60
- Biomedical Engineering 371
Countries citing papers authored by Sheng Song
This map shows the geographic impact of Sheng 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 Sheng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheng Song more than expected).
Fields of papers citing papers by Sheng Song
This network shows the impact of papers produced by Sheng 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 Sheng Song. The network helps show where Sheng Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Sheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 9 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 25 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 49 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 20 | |
| 9 | 2021 | 6 | |
| 10 | 2020 | 27 | |
| 11 | 2020 | 16 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 43 | |
| 14 | 2018 | 28 | |
| 15 | 2017 | 17 | |
| 16 | 2016 | 8 | |
| 17 | 2014 | 12 | |
| 18 | 2012 | 5 | |
| 19 | On Approximation by Non-Periodic Neural and Translation Networks in L~p-w, Spaces | 2003 | 1 |
| 20 | A new analytical expression of current waveform in standard IEC61000-4-2 | 2003 | 4 |
About Sheng Song
Sheng Song is a scholar working on Neurology, Endocrine and Autonomic Systems, Physiology, Biomedical Engineering and Surfaces, Coatings and Films, having authored 63 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Nanoplatforms for cancer theranostics (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Advanced MRI Techniques and Applications (4 papers), Circadian rhythm and melatonin (4 papers) and Photodynamic Therapy Research Studies (4 papers). The work is most often cited by research in Neurology (218 citations), Biological Psychiatry (53 citations), Biomaterials (129 citations), Surfaces, Coatings and Films (60 citations) and Biomedical Engineering (371 citations). Sheng Song has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Feifan Zhou, Wei R. Chen, Jau‐Shyong Hong, Da Xing, Shengnan Wu, Daniel E. Resasco, Belinda Wilson, Jong‐in Hahm, Qingshan Wang and Esteban A. Oyarzabal. Their work appears in journals such as Langmuir, Journal of Neuroinflammation, Acta Biomaterialia, Nanoscale and Molecular Neurobiology.
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.