Zaiju Huang

400 total citations
12 papers, 320 citations indexed

About

Zaiju Huang is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Zaiju Huang has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Molecular Biology and 4 papers in Cancer Research. Recurrent topics in Zaiju Huang's work include Cancer Cells and Metastasis (5 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Epigenetics and DNA Methylation (2 papers). Zaiju Huang is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Epigenetics and DNA Methylation (2 papers). Zaiju Huang collaborates with scholars based in China, Germany and United States. Zaiju Huang's co-authors include Jing Cai, Zehua Wang, Yiping Wen, Huijuan Tang, Yijing Chu, Jianfeng Guo, Lili Yu, Yapei Zhu, Ting Liu and Yan Guo and has published in prestigious journals such as Carcinogenesis, Oncotarget and Cancer Science.

In The Last Decade

Zaiju Huang

12 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zaiju Huang China 8 230 145 95 43 24 12 320
Yiping Wen China 8 234 1.0× 103 0.7× 123 1.3× 29 0.7× 13 0.5× 10 297
Pyoung Hwa Park United States 7 438 1.9× 165 1.1× 71 0.7× 72 1.7× 13 0.5× 8 498
Yongchu Sun China 9 194 0.8× 99 0.7× 135 1.4× 17 0.4× 17 0.7× 14 313
Alison D. Clark United States 5 196 0.9× 92 0.6× 50 0.5× 105 2.4× 11 0.5× 5 370
Rohit P. Nagare India 10 190 0.8× 125 0.9× 92 1.0× 16 0.4× 10 0.4× 18 292
Maroulio Pertesi United States 12 242 1.1× 114 0.8× 140 1.5× 27 0.6× 11 0.5× 21 430
Alexandra E. Gylfe Finland 10 201 0.9× 111 0.8× 104 1.1× 12 0.3× 23 1.0× 14 334
Asaha Fujimoto Japan 12 164 0.7× 123 0.8× 108 1.1× 52 1.2× 31 1.3× 17 336
Habibe Demir United States 6 174 0.8× 70 0.5× 51 0.5× 30 0.7× 25 1.0× 9 321
Simone Jueliger United States 6 172 0.7× 63 0.4× 50 0.5× 13 0.3× 17 0.7× 16 244

Countries citing papers authored by Zaiju Huang

Since Specialization
Citations

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

Fields of papers citing papers by Zaiju Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zaiju Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Zaiju Huang. A scholar is included among the top collaborators of Zaiju Huang 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 Zaiju Huang. Zaiju Huang 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
1.
Tang, Huijuan, Yijing Chu, Zaiju Huang, Jing Cai, & Zehua Wang. (2019). The metastatic phenotype shift toward myofibroblast of adipose-derived mesenchymal stem cells promotes ovarian cancer progression. Carcinogenesis. 41(2). 182–193. 41 indexed citations
2.
Han, Qing, Bangxing Huang, Zaiju Huang, et al.. (2019). Tumor cell‑fibroblast heterotypic aggregates in�malignant ascites of patients with ovarian cancer. International Journal of Molecular Medicine. 44(6). 2245–2255. 27 indexed citations
3.
Wen, Yiping, Xiaoxin Yang, Qing Han, et al.. (2018). Dicer affects cisplatin‑mediated apoptosis in epithelial ovarian cancer cells. Molecular Medicine Reports. 18(5). 4381–4387. 7 indexed citations
4.
Guo, Jianfeng, Yapei Zhu, Zaiju Huang, et al.. (2018). Metformin inhibits ovarian cancer via decreasing H3K27 trimethylation. International Journal of Oncology. 52(6). 1899–1911. 50 indexed citations
6.
Wen, Yiping, Yan Guo, Zaiju Huang, Jing Cai, & Zehua Wang. (2017). Adipose-derived mesenchymal stem cells attenuate cisplatin-induced apoptosis in epithelial ovarian cancer cells. Molecular Medicine Reports. 16(6). 9587–9592. 19 indexed citations
7.
Wen, Yiping, et al.. (2017). Role of EZH2 in cancer stem cells: from biological insight to a therapeutic target. Oncotarget. 8(23). 37974–37990. 68 indexed citations
8.
Wen, Yiping, et al.. (2017). SOX2 is required to maintain cancer stem cells in ovarian cancer. Cancer Science. 108(4). 719–731. 73 indexed citations
9.
Xu, Linjuan, Zaiju Huang, Jianfeng Guo, et al.. (2015). Role of HER Family Members in Predicting Prognoses in Epithelial Ovarian Cancer: A Meta-analysis. Tumori Journal. 101(6). 595–602. 5 indexed citations
11.
Zhou, Jun, Jing Cai, Zaiju Huang, et al.. (2013). Proteomic identification of target proteins following Drosha knockdown in cervical cancer. Oncology Reports. 30(5). 2229–2237. 5 indexed citations
12.
Li, Min, et al.. (2006). [Disfigurement of p16INK4A gene expression in development of ovarian cancer and the mechanism].. PubMed. 41(6). 408–12. 6 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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