Xiaosan Su

742 total citations
27 papers, 554 citations indexed

About

Xiaosan Su is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Xiaosan Su has authored 27 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Oncology. Recurrent topics in Xiaosan Su's work include Immune cells in cancer (6 papers), Immune Cell Function and Interaction (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Xiaosan Su is often cited by papers focused on Immune cells in cancer (6 papers), Immune Cell Function and Interaction (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Xiaosan Su collaborates with scholars based in China, United States and Japan. Xiaosan Su's co-authors include Baowei Jiao, Yang Liu, Li Zou, Feng Xu, Ke Hao, Haibo Xu, Limin Zhao, Qin Yang, Rui Chen and Junsong Ye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and International Journal of Cancer.

In The Last Decade

Xiaosan Su

24 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosan Su China 12 305 194 136 122 56 27 554
Chunmei Yang China 11 192 0.6× 54 0.3× 140 1.0× 213 1.7× 27 0.5× 19 508
Zhi Xu China 8 243 0.8× 196 1.0× 66 0.5× 88 0.7× 15 0.3× 14 419
Ali Kuraishy United States 6 209 0.7× 75 0.4× 155 1.1× 139 1.1× 13 0.2× 7 474
Yong Feng China 11 339 1.1× 218 1.1× 31 0.2× 71 0.6× 19 0.3× 21 503
Jian‐Ching Wu Taiwan 12 260 0.9× 111 0.6× 56 0.4× 74 0.6× 8 0.1× 18 472
Wujun Xiong China 14 387 1.3× 291 1.5× 52 0.4× 73 0.6× 6 0.1× 18 571
Bahareh Kashani Iran 10 159 0.5× 85 0.4× 165 1.2× 90 0.7× 15 0.3× 22 386

Countries citing papers authored by Xiaosan Su

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosan Su

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosan Su. A scholar is included among the top collaborators of Xiaosan Su 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 Xiaosan Su. Xiaosan Su 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
1.
Ding, Kai, Xing Liu, Bin Zeng, et al.. (2025). Exploring the role of neutrophils in inflammatory pain hypersensitivity via single-cell transcriptome profiling. Frontiers in Immunology. 16. 1552993–1552993.
2.
Wang, Yufeng, Changjing Zuo, Xinyuan Li, et al.. (2025). Unlocking the potential of immune checkpoint inhibitors in advanced cervical cancer: a meta-analysis and systematic review. BMC Cancer. 25(1). 863–863.
3.
Wang, Yu-tong, et al.. (2025). Compound kushen injection inhibits breast cancer lung metastasis through regulating MTSS1/ARPC3/F-actin. Journal of Ethnopharmacology. 350. 120054–120054. 1 indexed citations
4.
Liu, Songyu, Lu Zhang, Kai Ding, et al.. (2024). S. glabra exerts anti-lung cancer effects by inducing ferroptosis and anticancer immunity. Phytomedicine. 134. 155981–155981. 5 indexed citations
5.
Liu, Songyu, Kai Ding, Bin Zeng, et al.. (2024). Yanghe decoction inhibits inflammation-induced lung metastasis of colorectal cancer. Journal of Ethnopharmacology. 340. 119257–119257. 26 indexed citations
6.
Zhang, Honglei, Chao Liu, Shuting Wang, et al.. (2024). Proteogenomic analysis of air-pollution-associated lung cancer reveals prevention and therapeutic opportunities. eLife. 13. 2 indexed citations
7.
Zhang, Honglei, Chao Liu, Shuting Wang, et al.. (2024). Proteogenomic analysis of air-pollution-associated lung cancer reveals prevention and therapeutic opportunities. eLife. 13. 1 indexed citations
8.
Zhou, Dezhi, Jia Fu, Xiaosan Su, et al.. (2023). Metabolomics analysis of the potential mechanism of Yi-Guan-Jian decoction to reverse bone loss in glucocorticoid-induced osteoporosis. Journal of Orthopaedic Surgery and Research. 18(1). 409–409. 4 indexed citations
9.
Shao, Li‐Dong, et al.. (2022). Transient directing group enabled Pd-catalyzed C–H oxygenation of benzaldehydes and benzylic amines. RSC Advances. 12(29). 18722–18727. 4 indexed citations
10.
Su, Xiaosan, Yang Liu, Yanfeng Yin, et al.. (2018). Bone marrow mesenchymal stem cells tune the differentiation of myeloid-derived suppressor cells in bleomycin-induced lung injury. Stem Cell Research & Therapy. 9(1). 253–253. 11 indexed citations
11.
Su, Xiaosan, et al.. (2018). Dexmedetomidine expands monocytic myeloid-derived suppressor cells and promotes tumour metastasis after lung cancer surgery. Journal of Translational Medicine. 16(1). 347–347. 38 indexed citations
12.
Liu, Yang, et al.. (2018). Hsa_circ_0046264 up-regulated BRCA2 to suppress lung cancer through targeting hsa-miR-1245. Respiratory Research. 19(1). 115–115. 42 indexed citations
13.
Zhang, Honglei, Xing Yang, Feng Xu, et al.. (2018). Chromosome-wide gene dosage rebalance may benefit tumor progression. Molecular Genetics and Genomics. 293(4). 895–906. 3 indexed citations
14.
Hao, Ke, Limin Zhao, Honglei Zhang, et al.. (2018). Loss of TDP43 inhibits progression of triple-negative breast cancer in coordination with SRSF3. Proceedings of the National Academy of Sciences. 115(15). E3426–E3435. 81 indexed citations
15.
Su, Xiaosan, et al.. (2011). Cascading Adoptive Cell Therapy for Metastatic Melanoma. Cancer Biotherapy and Radiopharmaceuticals. 26(3). 401–406. 3 indexed citations
16.
Su, Xiaosan, et al.. (2010). Immunotherapy with Cytokine-Induced Killer Cells in Metastatic Renal Cell Carcinoma. Cancer Biotherapy and Radiopharmaceuticals. 25(4). 465–470. 29 indexed citations
17.
Su, Xiaosan, et al.. (2010). Coculturing Dendritic Cells with Zoledronate Acid Efficiently Enhance the Anti-Tumor Effects of Cytokine-Induced Killer Cells. Journal of Clinical Immunology. 30(5). 766–774. 17 indexed citations
18.
Wang, Huili, Dongmei Wang, Chunxia Zhou, et al.. (2008). Enhanced anti-tumor immunity generated by Rituximab-coated tumor cell vaccine. Cancer Letters. 268(1). 129–136. 2 indexed citations
19.
Su, Xiaosan, et al.. (2008). A simple and effective method for cancer immunotherapy by inactivated allogeneic leukocytes infusion. International Journal of Cancer. 124(5). 1142–1151. 11 indexed citations
20.
Zhong, Yong, Chunxia Zhou, Wenbo Ma, et al.. (2007). Most MCF7 and SK-OV3 cells were deprived of their stem nature by Hoechst 33342. Biochemical and Biophysical Research Communications. 364(2). 338–343. 20 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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