Zhimin Deng

1.3k total citations
51 papers, 820 citations indexed

About

Zhimin Deng is a scholar working on Molecular Biology, Cancer Research and Obstetrics and Gynecology. According to data from OpenAlex, Zhimin Deng has authored 51 papers receiving a total of 820 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Obstetrics and Gynecology. Recurrent topics in Zhimin Deng's work include Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (6 papers) and Cancer-related molecular mechanisms research (6 papers). Zhimin Deng is often cited by papers focused on Pregnancy and preeclampsia studies (7 papers), Reproductive System and Pregnancy (6 papers) and Cancer-related molecular mechanisms research (6 papers). Zhimin Deng collaborates with scholars based in China, Romania and Taiwan. Zhimin Deng's co-authors include Yanxiang Cheng, Fangfang Dai, Dongyong Yang, Liquan Guo, Dangwei Wang, Wei Tan, Guoyan Pan, Mengqin Yuan, Xiang Zhang and Junhong Zhang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hydrology.

In The Last Decade

Zhimin Deng

47 papers receiving 802 citations

Peers

Zhimin Deng
Zhimin Deng
Citations per year, relative to Zhimin Deng Zhimin Deng (= 1×) peers Chunjie Gu

Countries citing papers authored by Zhimin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Zhimin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhimin Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhimin Deng. A scholar is included among the top collaborators of Zhimin 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 Zhimin Deng. Zhimin Deng 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.
Wang, Ruiqi, et al.. (2025). Obesity and recurrent spontaneous abortion: the crucial role of weight management in pregnancy. Reproductive Biology and Endocrinology. 23(1). 10–10. 1 indexed citations
2.
Zou, Yujie, Yan Jin, Feng Zhang, et al.. (2025). High‐Throughput and Stain‐Free Morphological Analysis of Sperm Using Optofluidic Time‐Stretch Imaging Flow Cytometry. Journal of Biophotonics. 18(5). e202400560–e202400560.
3.
Deng, Zhimin, Hua Liu, Hongbing Deng, et al.. (2024). Coaxial nanofibrous aerogel featuring porous network-structured channels for ovarian cancer treatment by sustained release of chitosan oligosaccharide. International Journal of Biological Macromolecules. 276(Pt 1). 133824–133824. 2 indexed citations
4.
Wang, Linlin, Zhinang Yin, Yanqiong Shen, et al.. (2024). Targeting Decidual CD16 + Immune Cells with Exosome‐Based Glucocorticoid Nanoparticles for Miscarriage. Advanced Science. 12(24). e2406370–e2406370. 9 indexed citations
5.
Dai, Fangfang, Hua Liu, Juan He, et al.. (2024). Model construction and drug therapy of primary ovarian insufficiency by ultrasound-guided injection. Stem Cell Research & Therapy. 15(1). 49–49. 7 indexed citations
6.
Deng, Zhimin, Fangfang Dai, Ruiqi Wang, et al.. (2024). Organ-on-a-chip: future of female reproductive pathophysiological models. Journal of Nanobiotechnology. 22(1). 455–455. 16 indexed citations
7.
Wang, Zitao, Zhimin Deng, Fangfang Dai, et al.. (2024). Tumor immunity: A brief overview of tumor‑infiltrating immune cells and research advances into tumor‑infiltrating lymphocytes in gynecological malignancies (Review). Experimental and Therapeutic Medicine. 27(4). 166–166. 3 indexed citations
8.
Deng, Zhimin, et al.. (2023). The impact of early pregnancy metabolic disorders on pregnancy outcome and the specific mechanism. European journal of medical research. 28(1). 197–197. 11 indexed citations
9.
Dai, Fangfang, Ruiqi Wang, Zhimin Deng, et al.. (2023). Comparison of the different animal modeling and therapy methods of premature ovarian failure in animal model. Stem Cell Research & Therapy. 14(1). 135–135. 22 indexed citations
10.
Tan, Wei, Jie Zhang, Zhimin Deng, et al.. (2023). Pan‐cancer analysis of oncogenic role of insulin‐like growth factor‐binding proteins and validation in ovarian cancer. Cancer Medicine. 12(13). 14833–14850. 2 indexed citations
11.
Deng, Zhimin, et al.. (2023). Primary acinic cell carcinoma of the breast: A case report and literature review. Heliyon. 9(9). e20160–e20160. 3 indexed citations
12.
Dai, Fangfang, Dongyong Yang, Yajing Zheng, et al.. (2022). Deletion of Insulin-like growth factor II mRNA-binding protein 3 participates in the pathogenesis of recurrent spontaneous abortion by inhibiting IL-10 secretion and inducing M1 polarization. International Immunopharmacology. 114. 109473–109473. 10 indexed citations
13.
Tan, Wei, Shiyi Liu, Zhimin Deng, et al.. (2022). Gene signature of m6A-related targets to predict prognosis and immunotherapy response in ovarian cancer. Journal of Cancer Research and Clinical Oncology. 149(2). 593–608. 15 indexed citations
14.
Deng, Zhimin, Fangfang Dai, Shiyi Liu, et al.. (2022). The clinical value of miRNA-21 in cervical cancer: A comprehensive investigation based on microarray datasets. PLoS ONE. 17(4). e0267108–e0267108. 12 indexed citations
15.
Dai, Fangfang, Zhimin Deng, Wei Tan, et al.. (2022). Integrated Bioinformatic Analysis of DNA Methylation and Immune Infiltration in Endometrial Cancer. BioMed Research International. 2022(1). 5119411–5119411. 27 indexed citations
16.
Zhang, Junhong, et al.. (2021). Assessment of heavy metal pollution and water quality characteristics of the reservoir control reaches in the middle Han River, China. The Science of The Total Environment. 799. 149472–149472. 94 indexed citations
17.
Yang, Dongyong, Yanqing Wang, Yajing Zheng, et al.. (2021). Silencing of lncRNA UCA1 inhibited the pathological progression in PCOS mice through the regulation of PI3K/AKT signaling pathway. Journal of Ovarian Research. 14(1). 48–48. 19 indexed citations
18.
Deng, Zhimin, Fangfang Dai, Quan Zhou, & Yanxiang Cheng. (2021). Hsa_circ_0000301 facilitates the progression of cervical cancer by targeting miR-1228-3p/IRF4 Axis. BMC Cancer. 21(1). 583–583. 13 indexed citations
19.
Liu, Yang, Bicheng Zhang, Zhimin Deng, et al.. (2021). Clinical features of COVID-19 in cancer patients within Wuhan, China. Annals of Palliative Medicine. 10(7). 8094–8102. 1 indexed citations
20.
Yang, Dongyong, Fangfang Dai, Mengqin Yuan, et al.. (2021). Role of Transforming Growth Factor-β1 in Regulating Fetal-Maternal Immune Tolerance in Normal and Pathological Pregnancy. Frontiers in Immunology. 12. 689181–689181. 49 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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