Hai-Yu Mo

582 total citations
10 papers, 454 citations indexed

About

Hai-Yu Mo is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hai-Yu Mo has authored 10 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cancer Research and 4 papers in Oncology. Recurrent topics in Hai-Yu Mo's work include RNA modifications and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Circular RNAs in diseases (2 papers). Hai-Yu Mo is often cited by papers focused on RNA modifications and cancer (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Circular RNAs in diseases (2 papers). Hai-Yu Mo collaborates with scholars based in China, United States and Hong Kong. Hai-Yu Mo's co-authors include Huai‐Qiang Ju, Rui‐Hua Xu, Yun-Xin Lu, Zhao-Lei Zeng, Dong-liang Chen, Qi-Nian Wu, Hui Sheng, Dan Xie, De‐Shen Wang and Paul J. Chiao and has published in prestigious journals such as Nature Communications, JNCI Journal of the National Cancer Institute and Cancer Letters.

In The Last Decade

Hai-Yu Mo

9 papers receiving 453 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai-Yu Mo China 8 285 187 104 53 44 10 454
Le-Zong Chen China 6 271 1.0× 236 1.3× 55 0.5× 21 0.4× 44 1.0× 7 396
Nashwa Kabil United States 12 307 1.1× 155 0.8× 147 1.4× 38 0.7× 53 1.2× 19 540
Katharina Wolff Germany 9 218 0.8× 86 0.5× 220 2.1× 150 2.8× 31 0.7× 15 481
Marianna Terrasi Italy 10 260 0.9× 170 0.9× 123 1.2× 31 0.6× 23 0.5× 19 503
Zicheng Sun China 10 232 0.8× 107 0.6× 144 1.4× 95 1.8× 49 1.1× 17 456
Shun-Fa Yang Taiwan 14 348 1.2× 180 1.0× 112 1.1× 31 0.6× 21 0.5× 21 496
Domenico Di Marzo Italy 10 392 1.4× 154 0.8× 115 1.1× 90 1.7× 19 0.4× 11 564
Chandra R. Tate United States 9 295 1.0× 82 0.4× 152 1.5× 33 0.6× 46 1.0× 9 526
Tomasz B. Owczarek Poland 12 268 0.9× 95 0.5× 188 1.8× 46 0.9× 20 0.5× 18 533

Countries citing papers authored by Hai-Yu Mo

Since Specialization
Citations

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

Fields of papers citing papers by Hai-Yu Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hai-Yu Mo. 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 Hai-Yu Mo. The network helps show where Hai-Yu Mo may publish in the future.

Co-authorship network of co-authors of Hai-Yu Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Hai-Yu Mo. A scholar is included among the top collaborators of Hai-Yu Mo 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 Hai-Yu Mo. Hai-Yu Mo 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.
Chen, Wei, Haojie Chen, Xiao Zhang, et al.. (2025). Nuclear mitochondrial acetyl-CoA acetyltransferase 1 orchestrates natural killer cell-dependent antitumor immunity in colorectal cancer. Signal Transduction and Targeted Therapy. 10(1). 138–138. 1 indexed citations
2.
Wang, Yiyu, Jin‐Fei Lin, Wen‐Wei Wu, et al.. (2025). Inhibition of MBTPS1 enhances antitumor immunity and potentiates anti-PD-1 immunotherapy. Nature Communications. 16(1). 4047–4047.
3.
Li, Ting, Ze-Kun Liu, Mengyao Ma, et al.. (2024). WTAP weakens oxaliplatin chemosensitivity of colorectal cancer by preventing PANoptosis. Cancer Letters. 604. 217254–217254. 18 indexed citations
4.
Lu, Yun-Xin, Qi-Nian Wu, Dong-liang Chen, et al.. (2018). Pharmacological Ascorbate Suppresses Growth of Gastric Cancer Cells with GLUT1 Overexpression and Enhances the Efficacy of Oxaliplatin Through Redox Modulation. Theranostics. 8(5). 1312–1326. 51 indexed citations
5.
Ju, Huai‐Qiang, Yun-Xin Lu, Dong-liang Chen, et al.. (2018). Modulation of Redox Homeostasis by Inhibition of MTHFD2 in Colorectal Cancer: Mechanisms and Therapeutic Implications. JNCI Journal of the National Cancer Institute. 111(6). 584–596. 134 indexed citations
6.
Lu, Jia-Huan, Wei Wang, Qi Zhao, et al.. (2018). A two-microRNA-based signature predicts first-line chemotherapy outcomes in advanced colorectal cancer patients. Cell Death Discovery. 4(1). 16 indexed citations
7.
Lu, Yun-Xin, Dong-liang Chen, De‐Shen Wang, et al.. (2016). Melatonin enhances sensitivity to fluorouracil in oesophageal squamous cell carcinoma through inhibition of Erk and Akt pathway. Cell Death and Disease. 7(10). e2432–e2432. 51 indexed citations
8.
Ju, Huai‐Qiang, Yun-Xin Lu, Dong-liang Chen, et al.. (2016). Redox Regulation of Stem-like Cells Though the CD44v-xCT Axis in Colorectal Cancer: Mechanisms and Therapeutic Implications. Theranostics. 6(8). 1160–1175. 75 indexed citations
9.
Ju, Huai‐Qiang, Tian Tian, Yun-Xin Lu, et al.. (2016). Regulation of the Nampt-mediated NAD salvage pathway and its therapeutic implications in pancreatic cancer. Cancer Letters. 379(1). 1–11. 55 indexed citations
10.
Lu, Yun-Xin, Huai‐Qiang Ju, Feng Wang, et al.. (2016). Inhibition of the NF-κB pathway by nafamostat mesilate suppresses colorectal cancer growth and metastasis. Cancer Letters. 380(1). 87–97. 53 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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