Xiao‐Song Wang

1.6k total citations
24 papers, 829 citations indexed

About

Xiao‐Song Wang is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Xiao‐Song Wang has authored 24 papers receiving a total of 829 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 7 papers in Oncology. Recurrent topics in Xiao‐Song Wang's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), DNA Repair Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Xiao‐Song Wang is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), DNA Repair Mechanisms (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). Xiao‐Song Wang collaborates with scholars based in United States, China and Austria. Xiao‐Song Wang's co-authors include Beverly Paigen, Ron Korstanje, David Higgins, Keith DiPetrillo, Ioannis M. Stylianou, Richard Mural, Serge Batalov, Mathew T. Pletcher, Andrew I. Su and Deborah Nusskern and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

Xiao‐Song Wang

22 papers receiving 815 citations

Peers

Xiao‐Song Wang

GENET

PHYSI

SURGE

Bodo Brunner Germany

Panwen Wang United States

Yu Dong United States

Yumei Song United States

J. Zimmer Germany

Christian Spangenberg Germany

Pavel Bashtrykov Germany

Christophe Debonneville Switzerland

Takahiro Ishizuka Japan

Yongli Bai United States

Bodo Brunner Germany

Xiao‐Song Wang

234 ×0.5

GENET

485 ×1.2

54 ×0.5

73 ×0.8

PHYSI

84 ×1.2

SURGE

Citations per year, relative to Xiao‐Song Wang Xiao‐Song Wang (= 1×) peers Bodo Brunner

Countries citing papers authored by Xiao‐Song Wang

Since Specialization

Citations

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

Fields of papers citing papers by Xiao‐Song Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao‐Song Wang

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

All Works

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20 of 20 papers shown

Wang, Xiao‐Song, Xin Yang, Hang Chen, et al.. (2025). CircLRBA Promotes Epithelial‐Mesenchymal Transition, Immune Evasion, Chemoimmunotherapy Resistance and Metastasis Through Stabilizing Twist1. Advanced Science. 12(48). e08918–e08918.

Lee, Sanghoon, et al.. (2024). Intragenic Rearrangement Burden Associates with Immune Cell Infiltration and Response to Immune Checkpoint Blockade in Cancer. Cancer Immunology Research. 12(3). 287–295. 1 indexed citations

Mori, Kanako, Zheqi Li, Yiting Li, et al.. (2024). ESR1 Fusions Invoke Breast Cancer Subtype-Dependent Enrichment of Ligand-Independent Oncogenic Signatures and Phenotypes. Endocrinology. 165(10). 2 indexed citations

Yu, Yang, Wen‐Ming Cao, Zhongcheng Shi, et al.. (2024). FOXK2 amplification promotes breast cancer development and chemoresistance. Cancer Letters. 597. 217074–217074. 7 indexed citations

Lee, Sanghoon, et al.. (2023). IndepthPathway: an integrated tool for in-depth pathway enrichment analysis based on single-cell sequencing data. Bioinformatics. 39(6). 1 indexed citations

Wang, Xiao‐Song, et al.. (2022). An integral genomic signature approach for tailored cancer therapy using genome-wide sequencing data. Nature Communications. 13(1). 2936–2936. 7 indexed citations

Veeraraghavan, Jamunarani, Ying Tan, Jinah Kim, et al.. (2020). A Novel Neoplastic Fusion Transcript, RAD51AP1-DYRK4 , Confers Sensitivity to the MEK Inhibitor Trametinib in Aggressive Breast Cancers. Clinical Cancer Research. 27(3). 785–798. 11 indexed citations

Lee, Sang Hoon, Yiheng Hu, Ying Tan, et al.. (2020). Landscape analysis of adjacent gene rearrangements reveals BCL2L14–ETV6 gene fusions in more aggressive triple-negative breast cancer. Proceedings of the National Academy of Sciences. 117(18). 9912–9921. 21 indexed citations

Wang, Xian, et al.. (2018). Epigenetic activation of HORMAD1 in basal-like breast cancer: role in Rucaparib sensitivity. Oncotarget. 9(53). 30115–30127. 23 indexed citations

10.

Kim, Jinah, Meenakshi Anurag, Jamunarani Veeraraghavan, et al.. (2016). Amplification of TLK2 Induces Genomic Instability via Impairing the G2–M Checkpoint. Molecular Cancer Research. 14(10). 920–927. 22 indexed citations

11.

Song, Xianzhou, Chengwei Zhang, Mingkun Zhao, et al.. (2015). Steroid Receptor Coactivator-3 (SRC-3/AIB1) as a Novel Therapeutic Target in Triple Negative Breast Cancer and Its Inhibition with a Phospho-Bufalin Prodrug. PLoS ONE. 10(10). e0140011–e0140011. 33 indexed citations

12.

Wittenburg, Henning, Malcolm A. Lyons, Renhua Li, et al.. (2006). QTL mapping for genetic determinants of lipoprotein cholesterol levels in combined crosses of inbred mouse strains. Journal of Lipid Research. 47(8). 1780–1790. 23 indexed citations

13.

Wang, Xiao‐Song & Beverly Paigen. (2005). Genome-wide search for new genes controlling plasma lipid concentrations in mice and humans. Current Opinion in Lipidology. 16(2). 127–137. 52 indexed citations

14.

DiPetrillo, Keith, Xiao‐Song Wang, Ioannis M. Stylianou, & Beverly Paigen. (2005). Bioinformatics toolbox for narrowing rodent quantitative trait loci. Trends in Genetics. 21(12). 683–692. 100 indexed citations

15.

Ma, Ming, et al.. (2005). [Expression of SSX2 gene in human urologic neoplasms].. PubMed. 43(6). 379–81.

16.

Wang, Xiao‐Song, Ron Korstanje, David Higgins, & Beverly Paigen. (2004). Haplotype Analysis in Multiple Crosses to Identify a QTL Gene. Genome Research. 14(9). 1767–1772. 87 indexed citations

17.

Pletcher, Mathew T., Serge Batalov, Andrew I. Su, et al.. (2004). Use of a Dense Single Nucleotide Polymorphism Map for In Silico Mapping in the Mouse. PLoS Biology. 2(12). e393–e393. 180 indexed citations

18.

Wang, Xiao‐Song, Shelley A. Phelan, Gerhard Ledinski, et al.. (2004). Peroxiredoxin 6 deficiency and atherosclerosis susceptibility in mice: significance of genetic background for assessing atherosclerosis. Atherosclerosis. 177(1). 61–70. 61 indexed citations

19.

Wang, Xiao‐Song, Isabelle Le Roy, Edwige Nicodème, et al.. (2003). Using Advanced Intercross Lines for High-Resolution Mapping of HDL Cholesterol Quantitative Trait Loci. Genome Research. 13(7). 1654–1664. 75 indexed citations

20.

Wang, Xiao‐Song & Beverly Paigen. (2002). Quantitative Trait Loci and Candidate Genes Regulating HDL Cholesterol. Arteriosclerosis Thrombosis and Vascular Biology. 22(9). 1390–1401. 66 indexed citations

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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