Beige Zong

474 total citations
15 papers, 321 citations indexed

About

Beige Zong is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Beige Zong has authored 15 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Beige Zong's work include Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cancer Risks and Factors (2 papers). Beige Zong is often cited by papers focused on Ferroptosis and cancer prognosis (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Cancer Risks and Factors (2 papers). Beige Zong collaborates with scholars based in China and Germany. Beige Zong's co-authors include Shengchun Liu, Yang Peng, Jun Jiang, Xiaowei Qi, Junlan Liu, Chuan Xu, Fan Zhang, Zhenrong Tang, Fanli Qu and Rui Chen and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Breast Cancer Research and Treatment.

In The Last Decade

Beige Zong

15 papers receiving 316 citations

Peers

Beige Zong
Jenna Wheelhouse United States
Eva Galle Belgium
Amanda L. Robichaud United States
Frances M. Martin United States
Hailing Jin United States
Saravut J. Weroha United States
Jenna Wheelhouse United States
Beige Zong
Citations per year, relative to Beige Zong Beige Zong (= 1×) peers Jenna Wheelhouse

Countries citing papers authored by Beige Zong

Since Specialization
Citations

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

Fields of papers citing papers by Beige Zong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beige Zong

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

All Works

15 of 15 papers shown
2.
Peng, Yang, Haochen Yu, Fanli Qu, et al.. (2021). A ferroptosis-associated gene signature for the prediction of prognosis and therapeutic response in luminal-type breast carcinoma. Scientific Reports. 11(1). 17610–17610. 24 indexed citations
3.
Guo, Shipeng, Kunhua Li, Jiao Tian, et al.. (2021). Lysophosphatidic acid receptor 6 regulated by miR-27a-3p attenuates tumor proliferation in breast cancer. Clinical & Translational Oncology. 24(3). 503–516. 12 indexed citations
4.
Tian, Jiao, Yang Peng, Kang Li, et al.. (2021). Overexpression of SERPINA3 promotes tumor invasion and migration, epithelial-mesenchymal-transition in triple-negative breast cancer cells. Breast Cancer. 28(4). 859–873. 32 indexed citations
5.
Peng, Yang, Han Li, Yong Fu, et al.. (2021). JAM2 predicts a good prognosis and inhibits invasion and migration by suppressing EMT pathway in breast cancer. International Immunopharmacology. 103. 108430–108430. 8 indexed citations
6.
7.
Peng, Yang, Haochen Yu, Fanli Qu, et al.. (2021). Construction and Validation of an Immune Infiltration-Related Gene Signature for the Prediction of Prognosis and Therapeutic Response in Breast Cancer. Frontiers in Immunology. 12. 666137–666137. 12 indexed citations
8.
Zong, Beige, Lu Sun, Yang Peng, et al.. (2021). HORMAD1 promotes docetaxel resistance in triple negative breast cancer by enhancing DNA damage tolerance. Oncology Reports. 46(1). 18 indexed citations
9.
Qu, Fanli, Rui Chen, Yang Peng, et al.. (2020). Assessment of the Predictive Role of Serum Lipid Profiles in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. Journal of Breast Cancer. 23(3). 246–246. 8 indexed citations
10.
Tian, Jiao, et al.. (2020). A look into the link between centrosome amplification and breast cancer. Biomedicine & Pharmacotherapy. 132. 110924–110924. 12 indexed citations
11.
Chen, Rui, Shipeng Guo, Chengcheng Yang, et al.. (2020). Although c‑MYC contributes to tamoxifen resistance, it improves cisplatin sensitivity in ER‑positive breast cancer. International Journal of Oncology. 56(4). 932–944. 22 indexed citations
12.
Peng, Yang, Rui Chen, Fanli Qu, et al.. (2019). Low pretreatment lymphocyte/monocyte ratio is associated with the better efficacy of neoadjuvant chemotherapy in breast cancer patients. Cancer Biology & Therapy. 21(2). 189–196. 32 indexed citations
14.
Qi, Xiaowei, Fan Zhang, Junlan Liu, et al.. (2015). Wilms' tumor 1 (WT1) expression and prognosis in solid cancer patients: a systematic review and meta-analysis. Scientific Reports. 5(1). 8924–8924. 93 indexed citations
15.
Qi, Xiaowei, Xiaodong Zheng, Beige Zong, et al.. (2015). Association between WT1 polymorphisms and susceptibility to breast cancer: results from a case-control study in a southwestern Chinese population.. PubMed. 5(3). 1234–50. 4 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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