Denan Zhang

1.1k total citations
42 papers, 906 citations indexed

About

Denan Zhang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Denan Zhang has authored 42 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 7 papers in Cancer Research. Recurrent topics in Denan Zhang's work include Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers) and Ferroptosis and cancer prognosis (6 papers). Denan Zhang is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Bioinformatics and Genomic Networks (9 papers) and Ferroptosis and cancer prognosis (6 papers). Denan Zhang collaborates with scholars based in China, Australia and India. Denan Zhang's co-authors include You Zhou, Jing Cuan, Ning Gan, Qian Yang, Qiuping Li, Yuting Cao, Guohua Wang, Jin Zeng, Yadong Wang and Xiujie Chen and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Scientific Reports.

In The Last Decade

Denan Zhang

39 papers receiving 901 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denan Zhang China	13	455	303	298	196	147	42	906
Hui Guo China	18	254 0.6×	154 0.5×	188 0.6×	71 0.4×	86 0.6×	68	843
Shu‐Qin Gao China	17	204 0.4×	404 1.3×	111 0.4×	67 0.3×	165 1.1×	101	1.0k
Jon I. Mujika Spain	20	152 0.3×	373 1.2×	79 0.3×	134 0.7×	47 0.3×	42	1.2k
Quanjun Wang China	14	202 0.4×	231 0.8×	176 0.6×	43 0.2×	24 0.2×	49	1.1k
Pierrick Nun France	20	227 0.5×	274 0.9×	208 0.7×	79 0.4×	30 0.2×	46	1.4k
Soizic Chevance France	18	245 0.5×	321 1.1×	196 0.7×	53 0.3×	50 0.3×	43	935
Yulong Jin China	19	489 1.1×	431 1.4×	70 0.2×	422 2.2×	111 0.8×	51	1.2k
Ming‐Hui Qi China	16	351 0.8×	152 0.5×	91 0.3×	102 0.5×	29 0.2×	86	946
Zikuan Wang China	18	197 0.4×	199 0.7×	215 0.7×	40 0.2×	78 0.5×	52	1.1k
M. Consuelo Cuquerella Spain	18	305 0.7×	521 1.7×	43 0.1×	78 0.4×	127 0.9×	48	1.3k

Countries citing papers authored by Denan Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Denan Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denan Zhang

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

All Works

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20 of 20 papers shown

Zhang, Denan, et al.. (2025). Fabrication of Polytetrafluoroethylene Composite Membrane via Laser Perforating and Nanosilica Coating for Efficient Oil–Water Separation. Journal of Applied Polymer Science. 142(17). 1 indexed citations

Li, Yanjiao, Min Zhang, Denan Zhang, et al.. (2025). Mechanisms of organotropism in breast cancer and predicting metastasis to distant organs using deep learning. Discover Oncology. 16(1). 1056–1056. 2 indexed citations

Jin, Qing, et al.. (2024). Predicting drug synergy using a network propagation inspired machine learning framework. Briefings in Functional Genomics. 23(4). 429–440. 3 indexed citations

Wang, Zhiju, Hongbo Xie, Lei Liu, et al.. (2024). A deep learning drug screening framework for integrating local-global characteristics: A novel attempt for limited data. Heliyon. 10(14). e34244–e34244. 1 indexed citations

Li, Guoqi, et al.. (2024). Impact of Hashimoto’s thyroiditis on the tumor microenvironment in papillary thyroid cancer: insights from single-cell analysis. Frontiers in Endocrinology. 15. 1339473–1339473. 2 indexed citations

Qu, Zhuo, et al.. (2023). Multi-level characteristics recognition of cancer core therapeutic targets and drug screening for a broader patient population. Frontiers in Pharmacology. 14.

Li, Guoqi, Yi Li, Lei Liu, et al.. (2023). Integrating multiple machine learning algorithms for prognostic prediction of gastric cancer based on immune-related lncRNAs. Frontiers in Genetics. 14. 1106724–1106724. 3 indexed citations

Zhang, Yan, Denan Zhang, Ziqi Liu, et al.. (2021). Precision treatment exploration of breast cancer based on heterogeneity analysis of lncRNAs at the single-cell level. BMC Cancer. 21(1). 918–918. 4 indexed citations

Zhang, Denan, et al.. (2021). Growth and phenotypic plasticity variability of <i>Eichhornia crassipes</i> in response to different eutrophic water in karst wetland. Journal of Lake Sciences. 33(1). 123–137. 1 indexed citations

10.

Yang, Jingbo, Denan Zhang, Guoqi Li, et al.. (2020). Computational drug repositioning based on the relationships between substructure–indication. Briefings in Bioinformatics. 22(4). 12 indexed citations

11.

He, Wen, et al.. (2020). Characteristics of soil carbon pool management indices under different vegetation types in karst mountainous areas of North Guangxi.. Shengtaixue zazhi. 39(2). 422. 2 indexed citations

12.

Liu, Lei, Zhuo Shao, Fei Xu, et al.. (2020). Identification of Early Warning Signals at the Critical Transition Point of Colorectal Cancer Based on Dynamic Network Analysis. Frontiers in Bioengineering and Biotechnology. 8. 530–530. 4 indexed citations

13.

Zhang, Denan, Hongbo Xie, Lingxiang Wu, et al.. (2020). CHG: A Systematically Integrated Database of Cancer Hallmark Genes. Frontiers in Genetics. 11. 29–29. 38 indexed citations

14.

Zhou, You, et al.. (2019). Ratiometric and Turn-On Luminescence Detection of Water in Organic Solvents Using a Responsive Europium-Organic Framework. Analytical Chemistry. 91(7). 4845–4851. 112 indexed citations

15.

Zhang, Zhongfeng, et al.. (2019). Water Conservation Function of Betula luminifera Plantation in Northwest Guangxi. 33(5). 177–184. 1 indexed citations

16.

Zhang, Denan, You Zhou, Jing Cuan, & Ning Gan. (2018). A lanthanide functionalized MOF hybrid for ratiometric luminescence detection of an anthrax biomarker. CrystEngComm. 20(9). 1264–1270. 49 indexed citations

17.

Chen, Xiujie, Chunyu Hu, Denan Zhang, et al.. (2018). Synthetic Lethality-based Identification of Targets for Anticancer Drugs in the Human Signaling Network. Scientific Reports. 8(1). 8440–8440. 21 indexed citations

18.

Zhang, Denan, et al.. (2017). Dynamic changes of soil microbe quantity in reed vegetation of Huixian Karst Wetland, Guilin, China.. 37(6). 685–693. 1 indexed citations

19.

Wu, Lingxiang, Xiujie Chen, Denan Zhang, et al.. (2016). IGSA: Individual Gene Sets Analysis, including Enrichment and Clustering. PLoS ONE. 11(10). e0164542–e0164542. 4 indexed citations

20.

Xie, Hongbo, Haixia Wen, Mingze Qin, et al.. (2016). In silico drug repositioning for the treatment of Alzheimer's disease using molecular docking and gene expression data. RSC Advances. 6(100). 98080–98090. 13 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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