Xiaomei Song
- Physiology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Neurology top 2%
- Molecular Biology
- Co-authors
- Keith D. PaulsenBrian W. PogueHamid DehghaniShudong JiangRashid DeaneZhenhua WuAbhay P. SagareBerislav V. Zloković
- Topics
- Optical Imaging and Spectroscopy Techniques (11 papers)Photoacoustic and Ultrasonic Imaging (10 papers)Infrared Thermography in Medicine (6 papers)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Xiaomei Song
24 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Physiology 633
- Radiology, Nuclear Medicine and Imaging 501
- Biomedical Engineering 448
- Neurology 329
- Molecular Biology 271
Countries citing papers authored by Xiaomei Song
This map shows the geographic impact of Xiaomei 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 Xiaomei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaomei Song more than expected).
Fields of papers citing papers by Xiaomei Song
This network shows the impact of papers produced by Xiaomei 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 Xiaomei Song. The network helps show where Xiaomei Song may publish in the future.
Co-authorship network of co-authors of Xiaomei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomei Song. A scholar is included among the top collaborators of Xiaomei 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 Xiaomei Song. Xiaomei 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 | 6 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | Spatial clustering for the regionalization of maize cultivation in China and its outlier analysis | 3 |
| 9 | 4 | |
| 10 | 30 | |
| 11 | 74 | |
| 12 | 227 | |
| 13 | 67 | |
| 14 | 162 | |
| 15 | 35 | |
| 16 | 165 | |
| 17 | LRP/Amyloid β-Peptide Interaction Mediates Differential Brain Efflux of Aβ Isoformsbreakdown → | 697 |
| 18 | 7 | |
| 19 | 2 | |
| 20 | 1 |
About Xiaomei Song
Xiaomei Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Biological Psychiatry and Behavioral Neuroscience, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (11 papers), Photoacoustic and Ultrasonic Imaging (10 papers) and Infrared Thermography in Medicine (6 papers). The work is most often cited by research in Neurology (329 citations), Physiology (633 citations) and Radiology, Nuclear Medicine and Imaging (501 citations). Xiaomei Song has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Keith D. Paulsen, Brian W. Pogue, Hamid Dehghani, Shudong Jiang, Rashid Deane, Zhenhua Wu, Abhay P. Sagare, Berislav V. Zloković, Huang Guo and William E. Van Nostrand. Their work appears in journals such as Nature Medicine, Neuron and Journal of Biomedical Optics.
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.