Shourong Wu

3.0k total citations · 1 hit paper
65 papers, 2.2k citations indexed

About

Shourong Wu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shourong Wu has authored 65 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 24 papers in Cancer Research and 21 papers in Oncology. Recurrent topics in Shourong Wu's work include Cancer-related Molecular Pathways (13 papers), RNA modifications and cancer (13 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Shourong Wu is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), RNA modifications and cancer (13 papers) and Cancer, Hypoxia, and Metabolism (12 papers). Shourong Wu collaborates with scholars based in China, Japan and Thailand. Shourong Wu's co-authors include Vivi Kasim, Kazunori Kataoka, Nobuhiro Nishiyama, Makoto Miyagishi, Mitsunobu R. Kano, Horacio Cabral, Yu Matsumoto, Can Huang, Rendy Hosea and Hezhao Zhao and has published in prestigious journals such as ACS Nano, PLoS ONE and Cancer Research.

In The Last Decade

Shourong Wu

61 papers receiving 2.2k citations

Hit Papers

The two sides of chromosomal instability: drivers and bra... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The two sides of chromosomal instability: drivers and brakes in cancer
    2024 72 citations Rendy Hosea, Shourong Wu et al. Signal Transduction and Targeted Therapy profile →

Peers

Shourong Wu
Ran Tian China
Peng Sun China
Afshin Taheriazam Iran
Ye Liang China
Dong Xu China
Xiaoping Qian China
Xuyong Wei China
Xiaofeng Zhou China
Chao Qin China
Ran Tian China
Shourong Wu
Citations per year, relative to Shourong Wu Shourong Wu (= 1×) peers Ran Tian

Countries citing papers authored by Shourong Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shourong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shourong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shourong Wu. A scholar is included among the top collaborators of Shourong Wu 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 Shourong Wu. Shourong Wu 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.
Hosea, Rendy, et al.. (2024). The two sides of chromosomal instability: drivers and brakes in cancer. Signal Transduction and Targeted Therapy. 9(1). 75–75. 72 indexed citations breakdown →
2.
Yuan, Shuo, Peng Gao, Shourong Wu, et al.. (2023). Rapid and comprehensive metabolites identification of 5-demethylnobiletin in rats using UPLC/Triple-TOF-MS/MS based on multiple mass defect filter and their neuroprotection against ferroptosis. Journal of Pharmaceutical and Biomedical Analysis. 238. 115842–115842. 7 indexed citations
3.
Hosea, Rendy, et al.. (2023). NeuroD1-GPX4 signaling leads to ferroptosis resistance in hepatocellular carcinoma. PLoS Genetics. 19(12). e1011098–e1011098. 9 indexed citations
4.
Tang, Yu, Qiu Li, Lei Zhang, et al.. (2023). The p52-ZER6/G6PD axis alters aerobic glycolysis and promotes tumor progression by activating the pentose phosphate pathway. Oncogenesis. 12(1). 17–17. 13 indexed citations
5.
Hosea, Rendy, et al.. (2023). Targeting Transcription Factor YY1 for Cancer Treatment: Current Strategies and Future Directions. Cancers. 15(13). 3506–3506. 34 indexed citations
6.
Li, Juan, Xinxin Luo, Zhuolin Li, et al.. (2023). YY2/PHGDH axis suppresses tumorigenesis by inhibiting tumor cell de novo serine biosynthesis. Biomedicine & Pharmacotherapy. 165. 115006–115006. 6 indexed citations
7.
Wu, Shourong, et al.. (2022). Intramuscular injection of sotagliflozin promotes neovascularization in diabetic mice through enhancing skeletal muscle cells paracrine function. Acta Pharmacologica Sinica. 43(10). 2636–2650. 13 indexed citations
8.
Kasim, Vivi, et al.. (2022). Therapeutic angiogenesis-based strategy for peripheral artery disease. Theranostics. 12(11). 5015–5033. 40 indexed citations
9.
Wang, Yi‐Cheng, et al.. (2022). SGLT2 inhibitor empagliflozin promotes revascularization in diabetic mouse hindlimb ischemia by inhibiting ferroptosis. Acta Pharmacologica Sinica. 44(6). 1161–1174. 27 indexed citations
10.
Hosea, Rendy, et al.. (2020). The biological implications of Yin Yang 1 in the hallmarks of cancer. Theranostics. 10(9). 4183–4200. 92 indexed citations
11.
12.
Lei, Ke, Wenfang Li, Can Huang, et al.. (2019). Neurogenic differentiation factor 1 promotes colorectal cancer cell proliferation and tumorigenesis by suppressing the p53/p21 axis. Cancer Science. 111(1). 175–185. 22 indexed citations
13.
Huang, Can, Shourong Wu, Wenfang Li, et al.. (2019). Zinc-finger protein p52-ZER6 accelerates colorectal cancer cell proliferation and tumour progression through promoting p53 ubiquitination. EBioMedicine. 48. 248–263. 25 indexed citations
14.
Zhang, Jianqi, et al.. (2019). Tyrosol Facilitates Neovascularization by Enhancing Skeletal Muscle Cells Viability and Paracrine Function in Diabetic Hindlimb Ischemia Mice. Frontiers in Pharmacology. 10. 909–909. 19 indexed citations
15.
Wu, Shourong, Huimin Wang, Yanjun Li, et al.. (2018). Transcription Factor YY1 Promotes Cell Proliferation by Directly Activating the Pentose Phosphate Pathway. Cancer Research. 78(16). 4549–4562. 115 indexed citations
16.
Ji, Hong, Can Huang, Shourong Wu, & Vivi Kasim. (2018). XBP1-s promotes colorectal cancer cell proliferation by inhibiting TAp73 transcriptional activity. Biochemical and Biophysical Research Communications. 508(1). 203–209. 19 indexed citations
17.
Huang, Can, Shourong Wu, Hong Ji, et al.. (2017). Identification of XBP1-u as a novel regulator of the MDM2/p53 axis using an shRNA library. Science Advances. 3(10). e1701383–e1701383. 44 indexed citations
18.
19.
Wu, Shourong, Vivi Kasim, Mitsunobu R. Kano, et al.. (2013). Transcription Factor YY1 Contributes to Tumor Growth by Stabilizing Hypoxia Factor HIF-1α in a p53-Independent Manner. Cancer Research. 73(6). 1787–1799. 67 indexed citations
20.
Wu, Shourong, Nobuhiro Nishiyama, Mitsunobu R. Kano, et al.. (2008). Enhancement of Angiogenesis Through Stabilization of Hypoxia-inducible Factor-1 by Silencing Prolyl Hydroxylase Domain-2 Gene. Molecular Therapy. 16(7). 1227–1234. 46 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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