Chao Su

1.4k total citations
44 papers, 976 citations indexed

About

Chao Su is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Chao Su has authored 44 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 16 papers in Oncology and 12 papers in Immunology. Recurrent topics in Chao Su's work include Cancer Mechanisms and Therapy (10 papers), CAR-T cell therapy research (5 papers) and Cancer-related molecular mechanisms research (4 papers). Chao Su is often cited by papers focused on Cancer Mechanisms and Therapy (10 papers), CAR-T cell therapy research (5 papers) and Cancer-related molecular mechanisms research (4 papers). Chao Su collaborates with scholars based in China, Hong Kong and Finland. Chao Su's co-authors include Jie Yang, Xingjie Gao, Zhi Yao, Olli Silvennoinen, Jinyan He, Ping Cheng, Jinhu Ma, Xiaoteng Cui, Anliang Huang and Xiaoming Sun and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

In The Last Decade

Chao Su

40 papers receiving 972 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Su China 18 571 232 224 206 193 44 976
Jie Ma China 18 451 0.8× 162 0.7× 238 1.1× 209 1.0× 149 0.8× 53 1.0k
Xingjie Gao China 16 454 0.8× 205 0.9× 157 0.7× 135 0.7× 97 0.5× 42 770
Ling Lei China 14 584 1.0× 160 0.7× 329 1.5× 74 0.4× 141 0.7× 41 1.0k
Xiaoli Kong China 19 589 1.0× 240 1.0× 444 2.0× 286 1.4× 80 0.4× 41 1.1k
Xiaoping Zhou China 12 534 0.9× 85 0.4× 145 0.6× 248 1.2× 203 1.1× 37 834
Davoud Rostamzadeh Iran 16 420 0.7× 68 0.3× 183 0.8× 149 0.7× 264 1.4× 35 1.0k
Xinhan Zhao China 14 402 0.7× 82 0.4× 211 0.9× 351 1.7× 152 0.8× 26 861
Shanwen Chen China 20 585 1.0× 84 0.4× 347 1.5× 205 1.0× 114 0.6× 36 993
Zhiping Ruan China 21 721 1.3× 99 0.4× 321 1.4× 408 2.0× 171 0.9× 58 1.2k

Countries citing papers authored by Chao Su

Since Specialization
Citations

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

Fields of papers citing papers by Chao Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Su

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Su. A scholar is included among the top collaborators of Chao 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 Chao Su. Chao 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.
Wang, Yaran, et al.. (2025). The role of tenascin-C in tumor microenvironments and its potential as a therapeutic target. Frontiers in Cell and Developmental Biology. 13. 1554312–1554312. 5 indexed citations
2.
Zhao, Yan, Peiying Li, Rui Chen, et al.. (2025). IDR-driven LLPS of GAS2L3 scaffolds CHMP4B condensates to accelerate cytokinesis in hepatocellular carcinoma cells. Journal of Advanced Research. 1 indexed citations
3.
Su, Chao, et al.. (2025). Case Report: A FBN1 frameshift-and-nonsense mutation and aortic dissection in Marfan syndrome. Frontiers in Cardiovascular Medicine. 12. 1533138–1533138.
4.
Wang, Yaran, et al.. (2025). Integrating multi-omics technologies with traditional Chinese medicine to enhance cancer research and treatment. QJM. 118(11). 805–815. 2 indexed citations
5.
Zhu, Daoqi, et al.. (2023). Update on Radiotherapy Changes of Nasopharyngeal Carcinoma Tumor Microenvironment. World Journal of Oncology. 14(5). 350–357. 5 indexed citations
6.
Ma, Jinhu, Chunxue Zhang, Gang Shi, et al.. (2021). High-dose VitC plus oncolytic adenoviruses enhance immunogenic tumor cell death and reprogram tumor immune microenvironment. Molecular Therapy. 30(2). 644–661. 21 indexed citations
7.
Ma, Jinhu, Chao Su, Yanwei Chen, et al.. (2021). Engineered exosome-like nanovesicles suppress tumor growth by reprogramming tumor microenvironment and promoting tumor ferroptosis. Acta Biomaterialia. 135. 567–581. 151 indexed citations
8.
Cui, Xiaoteng, Xinxin Zhang, Minghui Liu, et al.. (2020). A pan-cancer analysis of the oncogenic role of staphylococcal nuclease domain-containing protein 1 (SND1) in human tumors. Genomics. 112(6). 3958–3967. 111 indexed citations
9.
Ma, Jinhu, et al.. (2020). The Effect of Residual Triton X-100 on Structural Stability and Infection Activity of Adenovirus Particles. Molecular Therapy — Methods & Clinical Development. 19. 35–46. 12 indexed citations
10.
Zhang, Chunyan, Hao Meng, Kai Zhang, et al.. (2018). Oncoprotein Tudor-SN is a key determinant providing survival advantage under DNA damaging stress. Cell Death and Differentiation. 25(9). 1625–1637. 29 indexed citations
11.
Meng, Xin, Chao Su, Di Shen, et al.. (2017). Synthesis and immunogenicity of PG-tb1 monovalent glycoconjugate. European Journal of Medicinal Chemistry. 134. 140–146. 14 indexed citations
13.
Su, Chao, Xingjie Gao, Yali Zhao, et al.. (2016). Phosphorylation of Tudor-SN, a novel substrate of JNK, is involved in the efficient recruitment of Tudor-SN into stress granules. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(3). 562–571. 32 indexed citations
14.
Ma, Jinhu, Liping Yang, Chao Su, et al.. (2016). Hepatitis B virus X protein (HBx)-induced abnormalities of nucleic acid metabolism revealed by 1H-NMR-based metabonomics. Scientific Reports. 6(1). 24430–24430. 44 indexed citations
15.
Wang, Yihan, Xuelei Ma, Chao Su, et al.. (2015). Uric acid enhances the antitumor immunity of dendritic cell-based vaccine. Scientific Reports. 5(1). 16427–16427. 30 indexed citations
16.
Yin, Tao, Sisi He, Chao Su, et al.. (2015). Genetically modified human placenta-derived mesenchymal stem cells with FGF-2 and PDGF-BB enhance neovascularization in a model of hindlimb ischemia. Molecular Medicine Reports. 12(4). 5093–5099. 22 indexed citations
17.
Su, Chao, Gui-Mei Chen, Hai‐Feng Pan, et al.. (2014). The decreased frequency of SIGIRR-positive CD4+ T cells in peripheral blood of patients with SLE and its correlation with disease activity. Molecular Biology Reports. 42(2). 423–430. 9 indexed citations
18.
Zhao, Xiujuan, Chao Su, Lingbiao Xin, et al.. (2014). Tudor-SN, a Novel Coactivator of Peroxisome Proliferator-activated Receptor γ Protein, Is Essential for Adipogenesis. Journal of Biological Chemistry. 289(12). 8364–8374. 32 indexed citations
19.
Gao, Xingjie, Xiujuan Zhao, Jinyan He, et al.. (2012). Tudor Staphylococcal Nuclease (Tudor-SN) Participates in Small Ribonucleoprotein (snRNP) Assembly via Interacting with Symmetrically Dimethylated Sm Proteins. Journal of Biological Chemistry. 287(22). 18130–18141. 50 indexed citations
20.
Gao, Xingjie, Lin Ge, Jie Shao, et al.. (2010). Tudor‐SN interacts with and co‐localizes with G3BP in stress granules under stress conditions. FEBS Letters. 584(16). 3525–3532. 60 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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