Kangsheng Tu

8.1k total citations · 3 hit papers
110 papers, 5.4k citations indexed

About

Kangsheng Tu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Kangsheng Tu has authored 110 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 49 papers in Cancer Research and 21 papers in Oncology. Recurrent topics in Kangsheng Tu's work include Cancer-related molecular mechanisms research (27 papers), Ubiquitin and proteasome pathways (18 papers) and RNA modifications and cancer (18 papers). Kangsheng Tu is often cited by papers focused on Cancer-related molecular mechanisms research (27 papers), Ubiquitin and proteasome pathways (18 papers) and RNA modifications and cancer (18 papers). Kangsheng Tu collaborates with scholars based in China, United States and Canada. Kangsheng Tu's co-authors include Yufeng Wang, Qingguang Liu, Zhikui Liu, Qiuran Xu, Wei Yang, Changwei Dou, Xin Zheng, Bowen Yao, Mingzhen Zhang and Yingmin Yao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Kangsheng Tu

106 papers receiving 5.4k citations

Hit Papers

Deciphering the catalytic mechanism of superoxide dismuta... 2022 2026 2023 2024 2023 2022 2023 100 200 300 400

Peers

Kangsheng Tu
Cun Wang China
Hua Guo China
Gabi U. Dachs New Zealand
Naama Kanarek United States
Jin Cheng China
Qiuran Xu China
Young Hee Ko United States
Cun Wang China
Kangsheng Tu
Citations per year, relative to Kangsheng Tu Kangsheng Tu (= 1×) peers Cun Wang

Countries citing papers authored by Kangsheng Tu

Since Specialization
Citations

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

Fields of papers citing papers by Kangsheng Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kangsheng Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Kangsheng Tu. A scholar is included among the top collaborators of Kangsheng Tu 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 Kangsheng Tu. Kangsheng Tu 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.
Chen, Jiayu, Yujie Zhang, Zhichao Deng, et al.. (2025). Integrated cascade antioxidant nanozymes-Cu5.4O@CNDs combat acute liver injury by regulating retinol metabolism. Theranostics. 15(12). 5592–5615. 1 indexed citations
2.
Niu, Yongshen, et al.. (2025). High glucose facilitates hepatocellular carcinoma cell proliferation and invasion via WTAP-mediated HK2 mRNA stability. Molecular and Cellular Biochemistry. 480(7). 4149–4168. 1 indexed citations
3.
Zhu, Qingwei, Xin Liu, Shuangshuang Li, et al.. (2025). UBE2V1 Promotes Hepatocellular Carcinoma Progression by Forming a Positive Feedback Loop with HIF-1α. Research. 8. 1041–1041.
4.
Lu, Xinlan, Min Qiang, Rufeng Li, et al.. (2025). Multi-omics profiling reveals downregulated tumor lysine metabolism reshaping the immune microenvironment and therapeutic responses in hepatocellular carcinoma. Journal of Translational Medicine. 23(1). 1117–1117.
5.
Mo, Huanye, Nan Yang, Jiaqi Han, et al.. (2024). USP40 promotes hepatocellular carcinoma progression through a YAP/USP40 positive feedback loop. Cancer Letters. 589. 216832–216832. 6 indexed citations
6.
Tu, Kangsheng, Linglan Tu, Xin Liu, et al.. (2024). FAM188B promotes the growth, metastasis, and invasion of hepatocellular carcinoma by targeting the hnRNPA1/PKM2 axis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1871(7). 119773–119773. 3 indexed citations
7.
Wu, Qingsong, Yuanyuan Qiu, Jinhui Guo, et al.. (2024). USP40 promotes hepatocellular carcinoma cell proliferation, migration and stemness by deubiquitinating and stabilizing Claudin1. Biology Direct. 19(1). 13–13. 5 indexed citations
8.
Wang, Minglin, Shaobo Wu, Yuhan Chen, et al.. (2024). Tumor suppressor BAP1 suppresses disulfidptosis through the regulation of SLC7A11 and NADPH levels. Oncogenesis. 13(1). 31–31. 7 indexed citations
9.
Wang, Jin, Jing Chen, Minglin Wang, et al.. (2024). Inhibition of Endoplasmic Reticulum Stress Cooperates with SLC7A11 to Promote Disulfidptosis and Suppress Tumor Growth upon Glucose Limitation. Advanced Science. 12(7). e2408789–e2408789. 15 indexed citations
10.
Wang, Xue, Xiaoxi Chen, Wei Jiang, et al.. (2024). AuI-incorporated metal-organic frameworks nanozymes for thioreduction and glutathione depletion-mediated efficient photoimmunotherapy. Journal of Colloid and Interface Science. 683(Pt 1). 552–563. 2 indexed citations
11.
Zhang, Yuanyuan, Yujie Zhang, Yonghong Li, et al.. (2023). Harnessing Ag2S quantum dots with immune adjuvant for NIR-II fluorescence imaging-guided sonodynamic immunotherapy of colon cancer. Chemical Engineering Journal. 474. 145685–145685. 14 indexed citations
12.
Chen, Tianxiang, Liang Wang, Runkun Liu, et al.. (2023). HIF-1α-activated TMEM237 promotes hepatocellular carcinoma progression via the NPHP1/Pyk2/ERK pathway. Cellular and Molecular Life Sciences. 80(5). 120–120. 7 indexed citations
13.
Gao, Wenhui, Jiuyang He, Lei Chen, et al.. (2023). Deciphering the catalytic mechanism of superoxide dismutase activity of carbon dot nanozyme. Nature Communications. 14(1). 160–160. 431 indexed citations breakdown →
14.
Wang, Yufeng, Kangsheng Tu, Qiuran Xu, et al.. (2021). Histone citrullination by PADI4 is required for HIF-dependent transcriptional responses to hypoxia and tumor vascularization. Science Advances. 7(35). 62 indexed citations
15.
Liu, Zhikui, Huanye Mo, Runkun Liu, et al.. (2021). Matrix stiffness modulates hepatic stellate cell activation into tumor-promoting myofibroblasts via E2F3-dependent signaling and regulates malignant progression. Cell Death and Disease. 12(12). 1134–1134. 49 indexed citations
16.
Chen, Tianxiang, Runkun Liu, Yongshen Niu, et al.. (2021). HIF-1α-activated long non-coding RNA KDM4A-AS1 promotes hepatocellular carcinoma progression via the miR-411-5p/KPNA2/AKT pathway. Cell Death and Disease. 12(12). 1152–1152. 46 indexed citations
17.
Yang, Nan, Tianxiang Chen, Liang Wang, et al.. (2020). CXCR4 mediates matrix stiffness-induced downregulation of UBTD1 driving hepatocellular carcinoma progression via YAP signaling pathway. Theranostics. 10(13). 5790–5801. 72 indexed citations
18.
Wang, Yuanguo, Kangsheng Tu, Donglian Liu, et al.. (2019). p300 Acetyltransferase Is a Cytoplasm‐to‐Nucleus Shuttle for SMAD2/3 and TAZ Nuclear Transport in Transforming Growth Factor β–Stimulated Hepatic Stellate Cells. Hepatology. 70(4). 1409–1423. 77 indexed citations
19.
Zheng, Xin, et al.. (2013). [Expression of PCAF in hepatocellular carcinoma and its clinical significance].. PubMed. 29(3). 297–300. 9 indexed citations
20.
Zheng, Xin, Xiaohong Gai, Zhongtang Lu, et al.. (2013). Histone acetyltransferase PCAF Up-regulated cell apoptosis in hepatocellular carcinoma via acetylating histone H4 and inactivating AKT signaling. Molecular Cancer. 12(1). 96–96. 42 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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