Xinhan Zhao

1.3k total citations
26 papers, 861 citations indexed

About

Xinhan Zhao is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Xinhan Zhao has authored 26 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Oncology, 11 papers in Molecular Biology and 6 papers in Cancer Research. Recurrent topics in Xinhan Zhao's work include Cancer Cells and Metastasis (8 papers), Chemokine receptors and signaling (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Xinhan Zhao is often cited by papers focused on Cancer Cells and Metastasis (8 papers), Chemokine receptors and signaling (3 papers) and Cytokine Signaling Pathways and Interactions (3 papers). Xinhan Zhao collaborates with scholars based in China, United States and Australia. Xinhan Zhao's co-authors include Shanzhi Gu, Shangke Huang, Xin Jing, Yujiao Zhang, Minna Luo, Anqi Luo, Lin Zhao, Shan Shao, Rui Han and Xiaojin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and BMC Bioinformatics.

In The Last Decade

Xinhan Zhao

25 papers receiving 854 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xinhan Zhao China 14 402 351 211 152 95 26 861
Guang Wu China 20 540 1.3× 239 0.7× 273 1.3× 192 1.3× 90 0.9× 48 927
Tyvette S. Hilliard United States 13 365 0.9× 379 1.1× 112 0.5× 198 1.3× 70 0.7× 25 871
Jiateng Zhong China 13 415 1.0× 235 0.7× 208 1.0× 163 1.1× 112 1.2× 36 771
Xiaoping Qian China 19 527 1.3× 324 0.9× 333 1.6× 110 0.7× 173 1.8× 66 991
Jianfei Gao China 19 544 1.4× 290 0.8× 288 1.4× 250 1.6× 131 1.4× 38 1.0k
Sanchita Rauth United States 18 558 1.4× 378 1.1× 204 1.0× 171 1.1× 118 1.2× 36 962
Li Yan China 18 393 1.0× 336 1.0× 206 1.0× 81 0.5× 178 1.9× 54 872
Xuli Meng China 14 489 1.2× 257 0.7× 220 1.0× 128 0.8× 114 1.2× 43 792
Dongxian Guan China 14 503 1.3× 255 0.7× 250 1.2× 154 1.0× 67 0.7× 17 891
Jufeng Guo China 17 373 0.9× 204 0.6× 202 1.0× 154 1.0× 87 0.9× 33 673

Countries citing papers authored by Xinhan Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xinhan Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhan Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhan Zhao. A scholar is included among the top collaborators of Xinhan Zhao 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 Xinhan Zhao. Xinhan Zhao 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.
Jiang, Shaofeng, Ying He, Jiarui Jiang, & Xinhan Zhao. (2025). MOGAT2 suppresses colorectal cancer progression through ACSM1-mediated lipid metabolic reprogramming. Functional & Integrative Genomics. 25(1). 226–226.
2.
Wang, Lu, Lifen Zhang, Shan Shao, et al.. (2024). GAPVD1 Promotes the Proliferation of Triple-negative Breast Cancer Cells by Regulating the ERK/MAPK Signaling Pathway. Current Cancer Drug Targets. 25(5). 509–519. 1 indexed citations
3.
Zeng, Li, et al.. (2022). A pan-cancer analysis of collagen VI family on prognosis, tumor microenvironment, and its potential therapeutic effect. BMC Bioinformatics. 23(1). 390–390. 16 indexed citations
4.
Zhang, Yujiao, Yizeng Fan, Xin Jing, et al.. (2021). OTUD5-mediated deubiquitination of YAP in macrophage promotes M2 phenotype polarization and favors triple-negative breast cancer progression. Cancer Letters. 504. 104–115. 52 indexed citations
5.
Lu, Feng, et al.. (2019). Identification of new cancer stem cell markers and signaling pathways in HER‑2‑positive breast cancer by transcriptome sequencing. International Journal of Oncology. 55(5). 1003–1018. 17 indexed citations
6.
Wu, Fang, Shangke Huang, Feng Lu, et al.. (2019). Effects of CCL5 on the biological behavior of breast cancer and the mechanisms of its interaction with tumor‑associated macrophages. Oncology Reports. 42(6). 2499–2511. 55 indexed citations
7.
Du, Meng, Min Meng, Anqi Luo, et al.. (2018). Effects of VEGFR1+ hematopoietic progenitor cells on pre-metastatic niche formation and in vivo metastasis of breast cancer cells. Journal of Cancer Research and Clinical Oncology. 145(2). 411–427. 34 indexed citations
8.
Han, Rui, Shanzhi Gu, Yujiao Zhang, et al.. (2018). Estrogen promotes progression of hormone-dependent breast cancer through CCL2-CCR2 axis by upregulation of Twist via PI3K/AKT/NF-κB signaling. Scientific Reports. 8(1). 9575–9575. 80 indexed citations
9.
Huang, Shangke, Na Yuan, Guanying Wang, et al.. (2018). Cellular communication promotes mammosphere growth and collective invasion through microtubule‑like structures and angiogenesis. Oncology Reports. 40(6). 3297–3312. 6 indexed citations
10.
Zhang, Yujiao, Yizeng Fan, Shangke Huang, et al.. (2018). Thymoquinone inhibits the metastasis of renal cell cancer cells by inducing autophagy via AMPK/mTOR signaling pathway. Cancer Science. 109(12). 3865–3873. 83 indexed citations
11.
Huang, Shangke, Feng Lu, Xiaojin Zhang, et al.. (2018). Ribosome display and selection of single‐chain variable fragments effectively inhibit growth and progression of microspheres in vitro and in vivo. Cancer Science. 109(5). 1503–1512. 8 indexed citations
12.
Wang, Guanying, Na Yuan, Shangke Huang, et al.. (2017). The CNGRCLLII(KLAKLAK)2 peptide shows cytotoxicity against HUVECs by inducing apoptosis: An in vitro and in vivo study. Tumor Biology. 39(5). 3726131764–3726131764. 1 indexed citations
13.
Zhao, Xinhan, Anqi Luo, Fang Wu, et al.. (2017). Clinicopathological features and prognostic evaluation of bone metastasis in triple-negative breast cancer. Journal of Cancer Research and Therapeutics. 13(5). 778–778. 8 indexed citations
14.
15.
Shao, Shan, Xiaojin Zhang, Minna Luo, et al.. (2015). Notch1 signaling regulates the epithelial–mesenchymal transition and invasion of breast cancer in a Slug-dependent manner. Molecular Cancer. 14(1). 28–28. 176 indexed citations
16.
Wu, Fang, Xiaoai Zhao, Baibing Mi, et al.. (2015). Clinical characteristics and prognostic analysis of Krukenberg tumor. Molecular and Clinical Oncology. 3(6). 1323–1328. 46 indexed citations
17.
Wang, Tao, Sarah Shigdar, Michael P. Gantier, et al.. (2015). Cancer stem cell targeted therapy: progress amid controversies. Oncotarget. 6(42). 44191–44206. 121 indexed citations
18.
Ren, Juan, Liping Song, Qiang Dang, et al.. (2010). Primary adenomyoepithelioma of tonsil. Head & Neck Oncology. 2(1). 7–7. 2 indexed citations
19.
Zhao, Xinhan. (2006). Epigallocatechin gallate, the main ingredient of green tea induces apoptosis in breast cancer cells. Frontiers in bioscience. 11(1). 2428–2428. 26 indexed citations
20.
Zhao, Xinhan. (2003). Expression of estrogen receptor and estrogen receptor messenger RNA in gastric carcinoma tissues. World Journal of Gastroenterology. 9(4). 665–665. 38 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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