Chao Wu

4.4k total citations
116 papers, 2.2k citations indexed

About

Chao Wu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Chao Wu has authored 116 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 28 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Chao Wu's work include TGF-β signaling in diseases (14 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Chao Wu is often cited by papers focused on TGF-β signaling in diseases (14 papers), Pancreatic and Hepatic Oncology Research (11 papers) and Microbial Metabolic Engineering and Bioproduction (10 papers). Chao Wu collaborates with scholars based in China, United States and United Kingdom. Chao Wu's co-authors include David Oupický, Jun Chen, Xiefan Fang, Shengli Yang, Yan Yang, Guoyin Kai, Wei Xiong, Jing Li, Qing-Hui Zhou and Alex Boye and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Journal of Clinical Oncology.

In The Last Decade

Chao Wu

109 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chao Wu China 27 1.2k 338 277 245 163 116 2.2k
Shun Zhang China 30 990 0.8× 317 0.9× 209 0.8× 392 1.6× 158 1.0× 152 2.8k
Ying Yin China 25 1.3k 1.1× 325 1.0× 329 1.2× 225 0.9× 156 1.0× 94 2.7k
Xiumei Zhang China 33 1.3k 1.1× 242 0.7× 223 0.8× 160 0.7× 189 1.2× 124 3.0k
Chuan Zhang China 26 1.4k 1.2× 436 1.3× 291 1.1× 140 0.6× 123 0.8× 103 2.2k
Srikanta Kumar Rath India 31 1.3k 1.1× 356 1.1× 294 1.1× 161 0.7× 147 0.9× 96 2.6k
Lijing Zhang China 27 1.1k 1.0× 380 1.1× 233 0.8× 157 0.6× 200 1.2× 119 2.4k
Ying Nie China 30 1.2k 1.0× 258 0.8× 242 0.9× 206 0.8× 199 1.2× 91 2.6k
Chun‐Lin Chen Taiwan 32 1.7k 1.4× 358 1.1× 459 1.7× 207 0.8× 168 1.0× 175 3.4k
Xiyu Zhang China 26 1.2k 1.0× 322 1.0× 239 0.9× 153 0.6× 194 1.2× 94 2.3k
Fei Liao China 28 1.3k 1.1× 240 0.7× 235 0.8× 140 0.6× 159 1.0× 211 2.7k

Countries citing papers authored by Chao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chao Wu. A scholar is included among the top collaborators of Chao 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 Chao Wu. Chao 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.
Zhang, Weidong, Chao Wu, Hanchen Huang, et al.. (2025). Enhancing chemotherapy response prediction via matched colorectal tumor-organoid gene expression analysis and network-based biomarker selection. Translational Oncology. 52. 102238–102238. 2 indexed citations
2.
3.
Yang, Bin, et al.. (2024). Tailoring microbial fitness through computational steering and CRISPRi-driven robustness regulation. Cell Systems. 15(12). 1133–1147.e4. 2 indexed citations
4.
Wu, Chao, Jin Ma, Fang Liu, et al.. (2024). Relationship between depression and burnout among nurses in Intensive Care units at the late stage of COVID-19: a network analysis. BMC Nursing. 23(1). 224–224. 11 indexed citations
5.
Martz, Colin A., Andrew M. Waters, Alejandro Barrera, et al.. (2024). Mediator kinase inhibition impedes transcriptional plasticity and prevents resistance to ERK/MAPK-targeted therapy in KRAS-mutant cancers. npj Precision Oncology. 8(1). 124–124. 3 indexed citations
6.
7.
Wu, Hui, et al.. (2023). ENTPD1-AS1–miR-144-3p-mediated high expression of COL5A2 correlates with poor prognosis and macrophage infiltration in gastric cancer. World Journal of Gastrointestinal Oncology. 15(7). 1182–1199. 1 indexed citations
8.
Falcone, Mattia, Alejandro Huerta Uribe, Vassilis Papalazarou, et al.. (2022). Sensitisation of cancer cells to radiotherapy by serine and glycine starvation. British Journal of Cancer. 127(10). 1773–1786. 31 indexed citations
9.
Choi, Seo‐Hyun, Jin K. Kim, Chin‐Tung Chen, et al.. (2022). KRAS Mutants Upregulate Integrin β4 to Promote Invasion and Metastasis in Colorectal Cancer. Molecular Cancer Research. 20(8). 1305–1319. 9 indexed citations
10.
Henard, Calvin A., Chao Wu, Wei Xiong, et al.. (2021). Ribulose-1,5-Bisphosphate Carboxylase/Oxygenase (RubisCO) Is Essential for Growth of the Methanotroph Methylococcus capsulatus Strain Bath. Applied and Environmental Microbiology. 87(18). e0088121–e0088121. 25 indexed citations
11.
Ding, Lin, Chao Wu, Jianping Yu, et al.. (2021). Biotechnology for secure biocontainment designs in an emerging bioeconomy. Current Opinion in Biotechnology. 71. 25–31. 41 indexed citations
12.
Fang, Meng, Dong Li, Chong Zhang, et al.. (2020). Smad3 gene C‐terminal phosphorylation site mutation aggravates CCl4‐induced inflammation in mice. Journal of Cellular and Molecular Medicine. 24(12). 7044–7054. 6 indexed citations
13.
Wu, Chao, et al.. (2020). <p>Neuropilin-1 Interacts with Fibronectin-1 to Promote Epithelial–Mesenchymal Transition Progress in Gastric Cancer</p>. OncoTargets and Therapy. Volume 13. 10677–10687. 20 indexed citations
14.
Yang, Chen, Li Wang, Shi Luo, et al.. (2020). <p>Enhancement of Antitumor Efficacy of Paclitaxel-Loaded PEGylated Liposomes by N,N-Dimethyl Tertiary Amino Moiety in Pancreatic Cancer</p>. Drug Design Development and Therapy. Volume 14. 2945–2957. 6 indexed citations
15.
Smith, J. Joshua, Walid K. Chatila, Francisco Sánchez-Vega, et al.. (2019). Genomic stratification beyond Ras/B‐Raf in colorectal liver metastasis patients treated with hepatic arterial infusion. Cancer Medicine. 8(15). 6538–6548. 8 indexed citations
16.
Liu, Xiaoshuang, et al.. (2019). FastProNGS: fast preprocessing of next-generation sequencing reads. BMC Bioinformatics. 20(1). 345–345. 15 indexed citations
17.
Jiang, Yufeng, Chao Wu, Alex Boye, et al.. (2015). MAPK inhibitors modulate Smad2/3/4 complex cyto-nuclear translocation in myofibroblasts via Imp7/8 mediation. Molecular and Cellular Biochemistry. 406(1-2). 255–262. 15 indexed citations
18.
Wu, Chao, Jing Li, Yu Zhu, Jun Chen, & David Oupický. (2013). Opposing influence of intracellular and membrane thiols on the toxicity of reducible polycations. Biomaterials. 34(34). 8843–8850. 21 indexed citations
19.
Rui, Wenjuan, Lei Xie, Xin Liu, et al.. (2013). Compound Astragalus and Salvia miltiorrhiza extract suppresses hepatocellular carcinoma progression by inhibiting fibrosis and PAI-1 mRNA transcription. Journal of Ethnopharmacology. 151(1). 198–209. 37 indexed citations
20.
Wen, Zhiyuan, Jinying Ge, Weiye Chen, et al.. (2012). Newcastle disease virus-vectored Nipah encephalitis vaccines induce B and T cell responses in mice and long-lasting neutralizing antibodies in pigs. Virology. 432(2). 327–335. 77 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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