Che-Chia Hsu

1.7k total citations · 1 hit paper
10 papers, 504 citations indexed

About

Che-Chia Hsu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Che-Chia Hsu has authored 10 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Che-Chia Hsu's work include Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers) and Epigenetics and DNA Methylation (3 papers). Che-Chia Hsu is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Ubiquitin and proteasome pathways (3 papers) and Epigenetics and DNA Methylation (3 papers). Che-Chia Hsu collaborates with scholars based in United States, Taiwan and China. Che-Chia Hsu's co-authors include Hui‐Kuan Lin, Danni Peng, Zhen Cai, Bo‐Syong Pan, Hongyu Li, Zhen Cai, Asad Moten, Rajesh Manne, Zheng‐Yu Wang and Pei‐Jane Tsai and has published in prestigious journals such as Cell, Nature Cell Biology and Cell Metabolism.

In The Last Decade

Che-Chia Hsu

10 papers receiving 502 citations

Hit Papers

NSUN2 is a glucose sensor suppressing cGAS/STING to maint... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Che-Chia Hsu United States 6 387 145 91 70 50 10 504
Huairui Yuan China 10 432 1.1× 159 1.1× 94 1.0× 108 1.5× 62 1.2× 14 600
Zhen Cai China 7 475 1.2× 149 1.0× 81 0.9× 62 0.9× 48 1.0× 9 593
Joo Hye Yeo South Korea 7 319 0.8× 269 1.9× 90 1.0× 63 0.9× 56 1.1× 13 512
Chien-Yu Chen United States 5 314 0.8× 157 1.1× 86 0.9× 39 0.6× 40 0.8× 7 475
Qingyu Luo China 15 425 1.1× 128 0.9× 162 1.8× 50 0.7× 37 0.7× 21 540
Moloy T. Goswami United States 10 352 0.9× 192 1.3× 88 1.0× 51 0.7× 78 1.6× 20 490
Liwei Xiao China 5 244 0.6× 198 1.4× 88 1.0× 128 1.8× 35 0.7× 7 434
Can Lu China 12 211 0.5× 103 0.7× 95 1.0× 54 0.8× 58 1.2× 22 375
Jianbing Hou China 13 408 1.1× 148 1.0× 154 1.7× 60 0.9× 51 1.0× 24 629

Countries citing papers authored by Che-Chia Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Che-Chia Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Che-Chia Hsu. 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 Che-Chia Hsu. The network helps show where Che-Chia Hsu may publish in the future.

Co-authorship network of co-authors of Che-Chia Hsu

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

All Works

10 of 10 papers shown
1.
Wang, Zheng‐Yu, Bo‐Syong Pan, Rajesh Manne, et al.. (2025). CD36-mediated endocytosis of proteolysis-targeting chimeras. Cell. 188(12). 3219–3237.e18. 15 indexed citations
2.
Pan, Bo‐Syong, Che-Chia Hsu, Xiaobo Zhou, et al.. (2025). Glucose metabolism and its direct action in cancer and immune regulation: opportunities and challenges for metabolic targeting. Journal of Biomedical Science. 32(1). 71–71. 1 indexed citations
3.
Hsu, Che-Chia, Chi‐Yun Wang, Rajesh Manne, et al.. (2025). ALDH4A1 functions as an active component of the MPC complex maintaining mitochondrial pyruvate import for TCA cycle entry and tumour suppression. Nature Cell Biology. 27(5). 847–862. 2 indexed citations
4.
Chen, Tingjin, Zhigang Xu, Rajesh Manne, et al.. (2023). NSUN2 is a glucose sensor suppressing cGAS/STING to maintain tumorigenesis and immunotherapy resistance. Cell Metabolism. 35(10). 1782–1798.e8. 121 indexed citations breakdown →
5.
Hsu, Che-Chia, et al.. (2022). Identification of myo-inositol-binding proteins by using the biotin pull-down strategy in cultured cells. STAR Protocols. 3(2). 101385–101385. 1 indexed citations
6.
Liao, Yi-Chu, Tzu‐Yi Chan, Chun‐Hsin Wu, et al.. (2021). NOX2-Deficient Neutrophils Facilitate Joint Inflammation Through Higher Pro-Inflammatory and Weakened Immune Checkpoint Activities. Frontiers in Immunology. 12. 743030–743030. 14 indexed citations
7.
Hsu, Che-Chia, Danni Peng, Zhen Cai, & Hui‐Kuan Lin. (2021). AMPK signaling and its targeting in cancer progression and treatment. Seminars in Cancer Biology. 85. 52–68. 146 indexed citations
8.
Yang, Wen‐Bin, Che-Chia Hsu, Tsung‐I Hsu, et al.. (2020). Increased activation of HDAC1/2/6 and Sp1 underlies therapeutic resistance and tumor growth in glioblastoma. Neuro-Oncology. 22(10). 1439–1451. 85 indexed citations
9.
Cai, Zhen, Asad Moten, Danni Peng, et al.. (2020). The Skp2 Pathway: A Critical Target for Cancer Therapy. Seminars in Cancer Biology. 67(Pt 2). 16–33. 118 indexed citations
10.
Chuang, Jian‐Ying, Wen‐Bin Yang, & Che-Chia Hsu. (2020). Increased activation of HDAC1, 2, and 6, and Sp1 underlies therapeutic resistance and tumor growth in glioblastoma. The FASEB Journal. 34(S1). 1–1. 1 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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