Xiaopeng Song

1.7k total citations · 1 hit paper
55 papers, 978 citations indexed

About

Xiaopeng Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Xiaopeng Song has authored 55 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 24 papers in Cognitive Neuroscience and 7 papers in Neurology. Recurrent topics in Xiaopeng Song's work include Functional Brain Connectivity Studies (22 papers), Advanced MRI Techniques and Applications (16 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Xiaopeng Song is often cited by papers focused on Functional Brain Connectivity Studies (22 papers), Advanced MRI Techniques and Applications (16 papers) and Advanced Neuroimaging Techniques and Applications (16 papers). Xiaopeng Song collaborates with scholars based in China and United States. Xiaopeng Song's co-authors include Yijun Liu, Yonggui Yuan, Weiguo Liu, Yi Zhang, Xiao Hu, Jia‐Jia Liu, Fei Du, Döst Öngür, Brent P. Forester and Tao Song and has published in prestigious journals such as PLoS ONE, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Xiaopeng Song

48 papers receiving 972 citations

Hit Papers

Mitochondrial dysfunction, oxidative stress, neuroinflamm... 2021 2026 2022 2024 2021 50 100 150 200

Peers

Xiaopeng Song
Comparison fields: 5 of 106
  • Cognitive Neuroscience 396
  • Radiology, Nuclear Medicine and Imaging 228
  • Neurology 171
  • Physiology 170
  • Molecular Biology 155
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Citations per field, relative to Xiaopeng Song
Xiaopeng Song · 1×
Citations per year, relative to Xiaopeng Song
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Countries citing papers authored by Xiaopeng Song

Since Specialization
Citations

This map shows the geographic impact of Xiaopeng 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 Xiaopeng Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopeng Song more than expected).

Fields of papers citing papers by Xiaopeng Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaopeng 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 Xiaopeng Song. The network helps show where Xiaopeng Song may publish in the future.

Co-authorship network of co-authors of Xiaopeng Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Song. A scholar is included among the top collaborators of Xiaopeng 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 Xiaopeng Song. Xiaopeng Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 1
3 0
4 0
5 1
6 5
7 0
8 5
9 13
10 8
11
Mitochondrial dysfunction, oxidative stress, neuroinflammation, and metabolic alterations in the progression of Alzheimer’s disease: A meta-analysis of in vivo magnetic resonance spectroscopy studies breakdown →
208
12 44
13 18
14 16
15 15
16 9
17 20
18 31
19 22
20 71

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.

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