Xiaojun Song

1.2k total citations
86 papers, 942 citations indexed

About

Xiaojun Song is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Xiaojun Song has authored 86 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 16 papers in Infectious Diseases and 14 papers in Immunology. Recurrent topics in Xiaojun Song's work include Clostridium difficile and Clostridium perfringens research (16 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Invertebrate Immune Response Mechanisms (7 papers). Xiaojun Song is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (16 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Invertebrate Immune Response Mechanisms (7 papers). Xiaojun Song collaborates with scholars based in China, Australia and United States. Xiaojun Song's co-authors include Fei Ma, Ping Jin, Liming Chen, Hideki Muramatsu, Zhaoxiang Deng, Dazhi Jin, Yun Luo, Sheng Qin, Xin‐Sheng Yao and Takashi Muramatsu and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Xiaojun Song

75 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaojun Song China 18 433 179 164 106 105 86 942
Nabendu Sekhar Chatterjee India 18 490 1.1× 169 0.9× 152 0.9× 77 0.7× 49 0.5× 42 1.2k
Sujuan Xu China 17 540 1.2× 240 1.3× 133 0.8× 62 0.6× 53 0.5× 40 1.0k
Maiko Sasaki United States 19 688 1.6× 200 1.1× 160 1.0× 107 1.0× 101 1.0× 36 1.3k
Kamran Kadkhoda Canada 16 582 1.3× 179 1.0× 162 1.0× 38 0.4× 219 2.1× 33 1.2k
Chittur V. Srikanth India 18 433 1.0× 166 0.9× 155 0.9× 38 0.4× 72 0.7× 34 912
Dereck E. W. Chatterton Denmark 19 533 1.2× 134 0.7× 128 0.8× 140 1.3× 149 1.4× 28 1.6k
Tohru Ohyama Japan 28 433 1.0× 244 1.4× 292 1.8× 67 0.6× 44 0.4× 89 2.1k
Toshihiko Katoh Japan 21 969 2.2× 199 1.1× 86 0.5× 102 1.0× 147 1.4× 58 1.6k
Kohei Ogura Japan 17 704 1.6× 106 0.6× 131 0.8× 86 0.8× 111 1.1× 65 1.3k
Daniel Ambort Sweden 11 707 1.6× 135 0.8× 83 0.5× 206 1.9× 58 0.6× 15 1.3k

Countries citing papers authored by Xiaojun Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojun Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojun Song. A scholar is included among the top collaborators of Xiaojun 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 Xiaojun Song. Xiaojun 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
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Song, Xiaojun, et al.. (2025). Metabolomic and transcriptomic analysis of macadamia seedling responses to drought stress and the role of MiGST in enhancing drought resistance. Industrial Crops and Products. 229. 120984–120984. 1 indexed citations
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Zhou, Rong, et al.. (2024). Characterization of Myxovirus resistance (Mx) gene from Chinese seabass Lateolabrax maculatus: Insights into the evolution and function of Mx genes. Fish & Shellfish Immunology. 152. 109749–109749. 2 indexed citations
5.
Chen, Jianing, Yunpeng Cao, Jinlong Li, et al.. (2024). A novel C-type lectin protein (BjCTL5) interacts with apoptosis stimulating proteins of p53 (ASPP) to activate NF-κB signaling pathway in primitive chordate. Developmental & Comparative Immunology. 156. 105166–105166.
6.
Chen, Zhaohong, Shaoping Li, Ling Li, et al.. (2024). The orchestration of coding and non-coding genes at the CDH13 locus in coronary artery disease. European Heart Journal. 45(Supplement_1). 1 indexed citations
7.
Ma, Xin, et al.. (2021). M2-Type Macrophages Induce Tregs Generation by Activating the TGF-β/Smad Signalling Pathway to Promote Colorectal Cancer Development. SHILAP Revista de lepidopterología. 1 indexed citations
8.
Liu, Bo, et al.. (2021). Crayfish (Procambarus clarkii) TRPA1 is required for the defense against Aeromonas hydrophila infection under high temperature conditions and contributes to heat sensing. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 257. 110654–110654. 3 indexed citations
9.
Sun, Weixia, et al.. (2021). Identification of two novel heterozygous SLC2A9 mutations in a Chinese woman and review of literature. Clinica Chimica Acta. 523. 58–64. 1 indexed citations
10.
Zhao, Liang, Yan Luo, Qingning Bian, et al.. (2020). High-Level Resistance of Toxigenic Clostridioides difficile Genotype to Macrolide-Lincosamide- Streptogramin B in Community Acquired Patients in Eastern China. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Shen, Enhui, Danyang Li, Yun Luo, et al.. (2020). Subtyping analysis reveals new variants and accelerated evolution of Clostridioides difficile toxin B. Communications Biology. 3(1). 347–347. 56 indexed citations
12.
Song, Xiaojun, Jian‐Ming Lv, Zhiqin Cao, et al.. (2020). Extensive expansion of the chemical diversity of fusidane-type antibiotics using a stochastic combinational strategy. Acta Pharmaceutica Sinica B. 11(6). 1676–1685. 15 indexed citations
13.
Song, Xiaojun, Hui Song, Shuai Li, et al.. (2020). Genome-wide identification and characterization of nonspecific lipid transfer protein (nsLTP) genes in Arachis duranensis. Genomics. 112(6). 4332–4341. 13 indexed citations
14.
Luo, Yun, Xiaohong Zhou, Xiaojun Song, et al.. (2020). Molecular characteristics of Clostridium difficile in children with acute gastroenteritis from Zhejiang. BMC Infectious Diseases. 20(1). 343–343. 13 indexed citations
15.
Gao, Ting, Zhichao Xu, Xiaojun Song, et al.. (2019). Hybrid Sequencing of Full-Length cDNA Transcripts of the Medicinal Plant Scutellaria baicalensis. International Journal of Molecular Sciences. 20(18). 4426–4426. 15 indexed citations
16.
Zeng, Rong, Xiaojun Song, Changwei Liu, & Ye Wei. (2019). LncRNA ANRIL promotes angiogenesis and thrombosis by modulating microRNA-99a and microRNA-449a in the autophagy pathway.. PubMed Central. 11(12). 7441–7448. 21 indexed citations
17.
Luo, Yun, Xiaojun Song, Julian Ye, et al.. (2018). Evaluation of an UltraFast LabChip V280 assay for detection of toxigenic Clostridium difficile. Diagnostic Microbiology and Infectious Disease. 92(4). 279–283. 3 indexed citations
18.
Song, Xiaojun, et al.. (2015). Chitosan/siRNA functionalized titanium surface via a layer-by-layer approach for in vitro sustained gene silencing and osteogenic promotion. SHILAP Revista de lepidopterología. 4 indexed citations
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Song, Xiaojun, Jing Hu, Ping Jin, Liming Chen, & Fei Ma. (2013). Identification and evolution of an NFAT gene involving Branchiostoma belcheri innate immunity. Genomics. 102(4). 355–362. 16 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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