Mozhi Wang

622 total citations
24 papers, 395 citations indexed

About

Mozhi Wang is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Mozhi Wang has authored 24 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cancer Research, 13 papers in Oncology and 7 papers in Molecular Biology. Recurrent topics in Mozhi Wang's work include Breast Cancer Treatment Studies (7 papers), Cancer Genomics and Diagnostics (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Mozhi Wang is often cited by papers focused on Breast Cancer Treatment Studies (7 papers), Cancer Genomics and Diagnostics (5 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Mozhi Wang collaborates with scholars based in China and Laos. Mozhi Wang's co-authors include Mengshen Wang, Litong Yao, Yingying Xu, Xinyan Li, Tie Sun, Xueting Yu, Xiangyu Sun, Haoran Dong, Jingyi Guo and Yingying Xu and has published in prestigious journals such as Oncogene, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and BMC Cancer.

In The Last Decade

Mozhi Wang

21 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mozhi Wang China 10 219 194 125 41 27 24 395
Mengshen Wang China 9 314 1.4× 271 1.4× 118 0.9× 48 1.2× 34 1.3× 18 492
Dehong Zou China 11 143 0.7× 166 0.9× 115 0.9× 35 0.9× 20 0.7× 31 348
Gennifer D. Goode United States 7 232 1.1× 167 0.9× 115 0.9× 41 1.0× 23 0.9× 9 381
Alyssa J. Cozzo United States 8 234 1.1× 158 0.8× 127 1.0× 42 1.0× 53 2.0× 13 438
Sandra Ríos‐Arrabal Spain 12 133 0.6× 77 0.4× 107 0.9× 36 0.9× 26 1.0× 13 347
Sangyun Shin South Korea 9 174 0.8× 71 0.4× 69 0.6× 38 0.9× 31 1.1× 20 317
Anthie Yiakouvaki United Kingdom 9 406 1.9× 113 0.6× 112 0.9× 39 1.0× 66 2.4× 9 615
Virgilio A. Salvo United States 10 277 1.3× 167 0.9× 159 1.3× 21 0.5× 68 2.5× 15 517
Jiahuan Lu China 8 190 0.9× 128 0.7× 75 0.6× 47 1.1× 16 0.6× 21 304

Countries citing papers authored by Mozhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mozhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mozhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mozhi Wang. A scholar is included among the top collaborators of Mozhi Wang 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 Mozhi Wang. Mozhi Wang 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.
Sun, Tie, Mozhi Wang, Litong Yao, et al.. (2025). Multiple time points for detecting circulating tumor DNA to monitor the response to neoadjuvant therapy in breast cancer: a meta-analysis. BMC Cancer. 25(1). 115–115. 3 indexed citations
2.
Wang, Yiou, Yue Hu, Mozhi Wang, Mengshen Wang, & Yingying Xu. (2024). The Role of Breast Cancer Cells in Bone Metastasis: Suitable Seeds for Nourishing Soil. Current Osteoporosis Reports. 22(1). 28–43. 5 indexed citations
3.
Yao, Litong, et al.. (2024). Phase separation in DNA damage response: New insights into cancer development and therapy. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1879(6). 189206–189206. 6 indexed citations
4.
Zhang, Hengjun, et al.. (2024). Development of an obesity-related multi-gene prognostic model incorporating clinical characteristics in luminal breast cancer. iScience. 27(3). 109133–109133. 1 indexed citations
5.
Zhang, Hengjun, Mozhi Wang, & Yingying Xu. (2023). Understanding the mechanisms underlying obesity in remodeling the breast tumor immune microenvironment: from the perspective of inflammation. Cancer Biology and Medicine. 20(4). 268–286. 19 indexed citations
7.
Liu, Xiaoyan, Ke‐Da Yu, Shouping Xu, et al.. (2023). A generalized non-linear model predicting efficacy of neoadjuvant therapy in HER2+ breast cancer. iScience. 26(4). 106330–106330. 3 indexed citations
8.
Sun, Xiangyu, Qiang Zhang, Mozhi Wang, et al.. (2023). Acyl-CoA thioesterase 7 is oncogenic in breast cancer by promoting oxidative phosphorylation via PGC1α. Genes & Diseases. 11(5). 101149–101149.
9.
Wang, Mozhi, Ke‐Da Yu, Shouping Xu, et al.. (2023). A machine learning model to predict efficacy of neoadjuvant therapy in breast cancer based on dynamic changes in systemic immunity. Cancer Biology and Medicine. 20(3). 218–228. 5 indexed citations
10.
Yao, Litong, Mozhi Wang, Mengshen Wang, et al.. (2021). The choice of a neoadjuvant chemotherapy cycle for breast cancer has significance in clinical practice: results from a population-based, real world study. Cancer Biology and Medicine. 19(5). 755–767. 6 indexed citations
11.
Wang, Mengshen, Mozhi Wang, Zhenning Wang, et al.. (2021). Comparison of three lymph node staging methods for predicting outcome in breast cancer patients with mastectomy. Annals of Translational Medicine. 9(4). 300–300. 3 indexed citations
12.
Li, Xinyan, Litong Yao, Mozhi Wang, et al.. (2020). Updated Bayesian Network Meta-Analysis of Adjuvant Targeted Treatment Regimens for Early Human Epidermal Growth Factor Receptor-2 Positive Breast Cancer. Journal of Breast Cancer. 23(4). 410–410. 1 indexed citations
13.
Sun, Xiangyu, Mozhi Wang, Mengshen Wang, et al.. (2020). Metabolic Reprogramming in Triple-Negative Breast Cancer. Frontiers in Oncology. 10. 428–428. 156 indexed citations
14.
Sun, Xiangyu, Mozhi Wang, Mengshen Wang, et al.. (2020). Role of Proton-Coupled Monocarboxylate Transporters in Cancer: From Metabolic Crosstalk to Therapeutic Potential. Frontiers in Cell and Developmental Biology. 8. 651–651. 53 indexed citations
15.
Wang, Mengshen, Mozhi Wang, Zhenning Wang, et al.. (2020). Nomogram for predicting axillary lymph node status after neoadjuvant chemotherapy in breast cancer. Translational Cancer Research. 9(11). 7054–7064. 3 indexed citations
16.
Sun, Xiangyu, Mozhi Wang, Mengshen Wang, et al.. (2020). Exploring the Metabolic Vulnerabilities of Epithelial–Mesenchymal Transition in Breast Cancer. Frontiers in Cell and Developmental Biology. 8. 655–655. 21 indexed citations
17.
Dong, Haoran, Litong Yao, Mozhi Wang, et al.. (2020). Can ACEI/ARB prevent the cardiotoxicity caused by chemotherapy in early-stage breast cancer?—a meta-analysis of randomized controlled trials. Translational Cancer Research. 9(11). 7034–7043. 12 indexed citations
18.
Guo, Jingyi, Mozhi Wang, Mengshen Wang, et al.. (2019). The Undervalued Effects of Polychlorinated Biphenyl Exposure on Breast Cancer. Clinical Breast Cancer. 20(1). 12–18. 18 indexed citations
19.
Yao, Litong, Mozhi Wang, Mengshen Wang, et al.. (2019). Neoadjuvant endocrine therapy: A potential strategy for ER-positive breast cancer. World Journal of Clinical Cases. 7(15). 1937–1953. 6 indexed citations
20.
Wang, Mozhi, Mengshen Wang, Zhenning Wang, et al.. (2018). Long non‐coding RNACTD‐2108O9.1 represses breast cancer metastasis by influencing leukemia inhibitory factor receptor. Cancer Science. 109(6). 1764–1774. 16 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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