Xiaomin Song

9.9k total citations · 4 hit papers
138 papers, 6.9k citations indexed

About

Xiaomin Song is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaomin Song has authored 138 papers receiving a total of 6.9k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 33 papers in Immunology and 22 papers in Oncology. Recurrent topics in Xiaomin Song's work include Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and T-cell and B-cell Immunology (10 papers). Xiaomin Song is often cited by papers focused on Immune Cell Function and Interaction (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers) and T-cell and B-cell Immunology (10 papers). Xiaomin Song collaborates with scholars based in China, United States and Australia. Xiaomin Song's co-authors include Yongzhang Luo, Yan Fu, Hubing Shi, Mark I. Greene, Yujie Huang, Xiaofeng Wang, Zhaocai Zhou, Shaopeng Yuan, Jürgen Götz and Wei Zhuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Xiaomin Song

136 papers receiving 6.8k citations

Hit Papers

Amyloid-β and tau synergistically impair the oxidative ph... 2009 2026 2014 2020 2009 2014 2020 2013 100 200 300 400 500

Peers

Xiaomin Song
Comparison fields: 5 of 147
  • Molecular Biology 3.7k
  • Immunology 1.3k
  • Physiology 980
  • Cell Biology 906
  • Oncology 898
Replace Yan Xu with:
Yan Xu United States
Belinda Willard United States
Mark Leid United States
Shailendra Giri United States
Helen Reddy United Kingdom
Ali Pedram United States
Yi Liu China
Nicholas J. G. Webster United States
C. Michael Knudson United States
Takao Hamakubo Japan
Yan Xu United States View profile →
Citations per field, relative to Xiaomin Song
Xiaomin Song · 1×
Citations per year, relative to Xiaomin Song
Xiaomin Song · 1×

Countries citing papers authored by Xiaomin Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaomin Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaomin Song. A scholar is included among the top collaborators of Xiaomin 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 Xiaomin Song. Xiaomin 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 2
2 4
3 20
4 4
5 14
6 10
7 58
8 22
9 12
10 42
11
A Peptide Mimicking VGLL4 Function Acts as a YAP Antagonist Therapy against Gastric Cancer breakdown →
505
12 95
13 34
14 22
15 172
16 27
17 99
18
Amyloid-β and tau synergistically impair the oxidative phosphorylation system in triple transgenic Alzheimer's disease mice breakdown →
551
19 218
20 97

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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2026