Sheng‐Kwei Song
- Radiology, Nuclear Medicine and Imaging top 0.05%
- Cognitive Neuroscience top 1%
- Pathology and Forensic Medicine top 0.5%
- Neurology top 0.5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Co-authors
- Anne H. CrossShu‐Wei SunJohn H. RussellHsiao‐Fang LiangChen ChangMichael J. RamsbottomKathryn TrinkausMatthew D. Budde
- Topics
- Advanced Neuroimaging Techniques and Applications (83 papers)Multiple Sclerosis Research Studies (25 papers)Bone and Joint Diseases (25 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Sheng‐Kwei Song
125 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Radiology, Nuclear Medicine and Imaging 7.5k
- Cognitive Neuroscience 1.8k
- Pathology and Forensic Medicine 1.8k
- Neurology 1.4k
- Pediatrics, Perinatology and Child Health 1.4k
Countries citing papers authored by Sheng‐Kwei Song
This map shows the geographic impact of Sheng‐Kwei 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‐Kwei 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‐Kwei Song more than expected).
Fields of papers citing papers by Sheng‐Kwei Song
This network shows the impact of papers produced by Sheng‐Kwei 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‐Kwei Song. The network helps show where Sheng‐Kwei Song may publish in the future.
Co-authorship network of co-authors of Sheng‐Kwei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Kwei Song. A scholar is included among the top collaborators of Sheng‐Kwei 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 Sheng‐Kwei Song. Sheng‐Kwei 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 10 | |
| 10 | 22 | |
| 11 | 35 | |
| 12 | 34 | |
| 13 | Vitreous Volume of the Mouse Measured by Quantitative High-Resolution MRI | 38 |
| 14 | 24 | |
| 15 | 8 | |
| 16 | 33 | |
| 17 | 331 | |
| 18 | 187 | |
| 19 | 101 | |
| 20 | 9 |
About Sheng‐Kwei Song
Sheng‐Kwei Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Orthopedics and Sports Medicine and Pathology and Forensic Medicine, having authored 129 papers that have together received 10.4k indexed citations. Recurring topics across this work include Advanced Neuroimaging Techniques and Applications (83 papers), Multiple Sclerosis Research Studies (25 papers) and Bone and Joint Diseases (25 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (7.5k citations), Computational Mathematics (78 citations) and Developmental Neuroscience (442 citations). Sheng‐Kwei Song has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Anne H. Cross, Shu‐Wei Sun, John H. Russell, Hsiao‐Fang Liang, Chen Chang, Michael J. Ramsbottom, Kathryn Trinkaus, Matthew D. Budde, Arthur H. Neufeld and Won‐Kyu Ju. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.
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.