Zhendong Deng

541 total citations
11 papers, 388 citations indexed

About

Zhendong Deng is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Zhendong Deng has authored 11 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Zhendong Deng's work include RNA modifications and cancer (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Zhendong Deng is often cited by papers focused on RNA modifications and cancer (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Zhendong Deng collaborates with scholars based in China. Zhendong Deng's co-authors include Shaoqiang Lin, Yuwei Song, Tingting Yang, Lan Huang, Xiaoting Chen, Cheng-Yong Zhang, Chunyan Gu, Ye Yang, Fuxiang Li and Qingchu Li and has published in prestigious journals such as Life Sciences, Advanced Science and Signal Transduction and Targeted Therapy.

In The Last Decade

Zhendong Deng

11 papers receiving 384 citations

Peers

Zhendong Deng

MB

CR

PRM

IMMUN

ONCOL

Don Wai‐Ching Chin Hong Kong

Yu-Hsuan Hung Taiwan

Yiran Huang China

Ding Wang China

Rita Lombardi Italy

Hsi-Wen Yeh United States

Shaowei Mo China

Yingqian Chen China

Huiling Zhou China

Mario Schindeldecker Germany

Don Wai‐Ching Chin Hong Kong

Zhendong Deng

494 ×1.5

MB

210 ×1.2

CR

97 ×0.9

PRM

47 ×1.0

IMMUN

113 ×2.7

ONCOL

Citations per year, relative to Zhendong Deng Zhendong Deng (= 1×) peers Don Wai‐Ching Chin

Countries citing papers authored by Zhendong Deng

Since Specialization

Citations

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

Fields of papers citing papers by Zhendong Deng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhendong Deng

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

All Works

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11 of 11 papers shown

1.

Deng, Zhendong, Shan‐Liang Sun, Nian Zhou, et al.. (2024). PNPO‐Mediated Oxidation of DVL3 Promotes Multiple Myeloma Malignancy and Osteoclastogenesis by Activating the Wnt/β‐Catenin Pathway. Advanced Science. 12(5). e2407681–e2407681. 3 indexed citations

2.

Wei, Rongfang, Hongjie Wu, Xin Liu, et al.. (2023). Inhibition of VCP modulates NF-κB signaling pathway to suppress multiple myeloma cell proliferation and osteoclast differentiation. Aging. 15(16). 8220–8236. 3 indexed citations

3.

Zhang, Yuanjiao, Zhendong Deng, Shan‐Liang Sun, et al.. (2022). NAT10 acetylates BCL-XL mRNA to promote the proliferation of multiple myeloma cells through PI3K-AKT pathway. Frontiers in Oncology. 12. 967811–967811. 24 indexed citations

4.

Li, Rui, Mengying Ke, Zhendong Deng, et al.. (2022). G6PD promotes cell proliferation and dexamethasone resistance in multiple myeloma via increasing anti-oxidant production and activating Wnt/β-catenin pathway. Experimental Hematology and Oncology. 11(1). 77–77. 17 indexed citations

5.

Tang, Xiaozhu, Zhendong Deng, Ye Hu, et al.. (2022). A novel protein encoded by circHNRNPU promotes multiple myeloma progression by regulating the bone marrow microenvironment and alternative splicing. Journal of Experimental & Clinical Cancer Research. 41(1). 35 indexed citations

6.

Chen, Xiaoting, Cheng-Yong Zhang, Tingting Yang, et al.. (2021). EF24 induces ferroptosis in osteosarcoma cells through HMOX1. Biomedicine & Pharmacotherapy. 136. 111202–111202. 135 indexed citations

7.

Chen, Xiaoting, Lan Huang, Tingting Yang, et al.. (2021). METTL3 Promotes Esophageal Squamous Cell Carcinoma Metastasis Through Enhancing GLS2 Expression. Frontiers in Oncology. 11. 667451–667451. 35 indexed citations

8.

Tang, Xiaozhu, Mengjie Guo, Zhendong Deng, et al.. (2021). BUB1B and circBUB1B_544aa aggravate multiple myeloma malignancy through evoking chromosomal instability. Signal Transduction and Targeted Therapy. 6(1). 361–361. 39 indexed citations

9.

Ou, Lingling, Yuwei Song, Jinyuan Li, et al.. (2020). Sialylation of FGFR1 by ST6Gal‑I overexpression contributes to ovarian cancer cell migration and chemoresistance. Molecular Medicine Reports. 21(3). 1449–1460. 33 indexed citations

10.

Li, Jinyuan, Qiufang Chen, Zhendong Deng, et al.. (2019). KRT17 confers paclitaxel-induced resistance and migration to cervical cancer cells. Life Sciences. 224. 255–262. 32 indexed citations

11.

Zhu, Menglu, Yuwei Song, Jinyuan Li, et al.. (2018). Increasing HER2 α2,6 sialylation facilitates gastric cancer progression and resistance via the Akt and ERK pathways. Oncology Reports. 40(5). 2997–3005. 32 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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