Kuo-Sheng Wu

445 total citations
12 papers, 273 citations indexed

About

Kuo-Sheng Wu is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Kuo-Sheng Wu has authored 12 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Kuo-Sheng Wu's work include Glioma Diagnosis and Treatment (4 papers), Hedgehog Signaling Pathway Studies (3 papers) and Chromatin Remodeling and Cancer (3 papers). Kuo-Sheng Wu is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Hedgehog Signaling Pathway Studies (3 papers) and Chromatin Remodeling and Cancer (3 papers). Kuo-Sheng Wu collaborates with scholars based in Taiwan and Vietnam. Kuo-Sheng Wu's co-authors include Tang K. Tang, Yi‐Nan Lin, Wen-Bin Hsu, Chieh-Ju C. Tang, Chien-Ting Wu, Ching-Wen Chang, Yu‐Chih Lin, Fone‐Ching Hsiao, Po‐Shiuan Hsieh and Yi‐Jen Hung and has published in prestigious journals such as The EMBO Journal, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Kuo-Sheng Wu

11 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kuo-Sheng Wu Taiwan 7 194 187 76 48 22 12 273
Adam M. Saunders United States 6 283 1.5× 95 0.5× 66 0.9× 25 0.5× 11 0.5× 7 328
Sylvain Meunier Spain 8 384 2.0× 333 1.8× 34 0.4× 62 1.3× 11 0.5× 9 445
Xiaowei Xu China 13 316 1.6× 80 0.4× 65 0.9× 31 0.6× 15 0.7× 15 374
Sabine Merker Germany 7 221 1.1× 57 0.3× 189 2.5× 41 0.9× 18 0.8× 10 345
Xianrong Wong United States 12 587 3.0× 140 0.7× 31 0.4× 46 1.0× 21 1.0× 16 667
Koki Watanabe Japan 11 237 1.2× 214 1.1× 60 0.8× 51 1.1× 6 0.3× 14 312
Jingchao Wu Netherlands 6 260 1.3× 299 1.6× 34 0.4× 25 0.5× 13 0.6× 6 391
Ericca Stamper United States 6 261 1.3× 94 0.5× 29 0.4× 44 0.9× 37 1.7× 7 309
Abdul Wali Pakistan 12 170 0.9× 131 0.7× 58 0.8× 16 0.3× 6 0.3× 34 268
Maddalena Nano France 8 185 1.0× 159 0.9× 49 0.6× 40 0.8× 15 0.7× 9 271

Countries citing papers authored by Kuo-Sheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kuo-Sheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuo-Sheng Wu

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

All Works

12 of 12 papers shown
2.
Wu, Kuo-Sheng, Wei-Chung Allen Lee, Yu‐Ling Lin, et al.. (2024). RRM2 inhibition alters cell cycle through ATM/Rb/E2F1 pathway in atypical teratoid rhabdoid tumor. Neoplasia. 58. 101075–101075. 1 indexed citations
3.
Wu, Kuo-Sheng, Yu‐Ling Lin, Che‐Chang Chang, et al.. (2024). LOXL1-AS1 contributes to metastasis in sonic-hedgehog medulloblastoma by promoting cancer stem-like phenotypes. Journal of Experimental & Clinical Cancer Research. 43(1). 130–130. 3 indexed citations
4.
Wu, Kuo-Sheng, Wei-Chung Allen Lee, Chun A. Changou, et al.. (2023). Targeting of RRM2 suppresses DNA damage response and activates apoptosis in atypical teratoid rhabdoid tumor. Journal of Experimental & Clinical Cancer Research. 42(1). 346–346. 11 indexed citations
6.
Wu, Kuo-Sheng, Shian‐Ying Sung, Yu‐Ling Lin, et al.. (2022). Clinical and Molecular Features in Medulloblastomas Subtypes in Children in a Cohort in Taiwan. Cancers. 14(21). 5419–5419. 3 indexed citations
7.
Wu, Kuo-Sheng, Shian‐Ying Sung, Chia‐Ling Hsieh, et al.. (2022). Enrichment of Tumor-Infiltrating B Cells in Group 4 Medulloblastoma in Children. International Journal of Molecular Sciences. 23(9). 5287–5287. 8 indexed citations
8.
Liang, Kung‐Hao, Che‐Chang Chang, Kuo-Sheng Wu, et al.. (2021). Notch signaling and natural killer cell infiltration in tumor tissues underlie medulloblastoma prognosis. Scientific Reports. 11(1). 23282–23282. 9 indexed citations
9.
Lee, Hsin-Ying, et al.. (2017). Graph-Based Logic Bit Slicing for Datapath-Aware Placement. 1–6. 5 indexed citations
10.
Wu, Kuo-Sheng, Yi‐Jen Hung, Chien-Hsing Lee, Fone‐Ching Hsiao, & Po‐Shiuan Hsieh. (2015). The Involvement of GAS6 Signaling in the Development of Obesity and Associated Inflammation. International Journal of Endocrinology. 2015. 1–7. 20 indexed citations
11.
Wu, Kuo-Sheng & Tang K. Tang. (2012). CPAP is required for cilia formation in neuronal cells. Biology Open. 1(6). 559–565. 17 indexed citations
12.
Tang, Chieh-Ju C., Wen-Bin Hsu, Yi‐Nan Lin, et al.. (2011). The human microcephaly protein STIL interacts with CPAP and is required for procentriole formation. The EMBO Journal. 30(23). 4790–4804. 188 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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