Chenghui Zhao

633 total citations
20 papers, 277 citations indexed

About

Chenghui Zhao is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Chenghui Zhao has authored 20 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Chenghui Zhao's work include RNA Research and Splicing (5 papers), Bioinformatics and Genomic Networks (4 papers) and MicroRNA in disease regulation (4 papers). Chenghui Zhao is often cited by papers focused on RNA Research and Splicing (5 papers), Bioinformatics and Genomic Networks (4 papers) and MicroRNA in disease regulation (4 papers). Chenghui Zhao collaborates with scholars based in China and United States. Chenghui Zhao's co-authors include Xiaochen Bo, Wanying Li, Shuai Jiang, Hao Hong, Ruijiang Li, Hebing Chen, Zhangyi Ouyang, Wenjie Shu, Xin Huang and Chao Ren and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Chenghui Zhao

19 papers receiving 271 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chenghui Zhao China	9	190	59	42	28	28	20	277
Evgeny Tiys Russia	10	191 1.0×	21 0.4×	12 0.3×	77 2.8×	29 1.0×	34	358
Jalal Siddiqui United States	10	214 1.1×	30 0.5×	104 2.5×	16 0.6×	10 0.4×	20	319
Samar Tareen Pakistan	11	78 0.4×	31 0.5×	36 0.9×	20 0.7×	5 0.2×	20	255
Johann S. Hawe Germany	6	118 0.6×	26 0.4×	13 0.3×	24 0.9×	4 0.1×	8	224
Daniel Dvorkin United States	9	143 0.8×	48 0.8×	9 0.2×	189 6.8×	41 1.5×	13	363
Christopher R. John United Kingdom	4	188 1.0×	25 0.4×	8 0.2×	56 2.0×	64 2.3×	6	301
D. Perez-Gil United Kingdom	4	110 0.6×	43 0.7×	16 0.4×	22 0.8×	12 0.4×	7	156
Édith Le Floch France	8	110 0.6×	21 0.4×	28 0.7×	52 1.9×	6 0.2×	23	277
Eric Venner United States	10	165 0.9×	23 0.4×	17 0.4×	76 2.7×	8 0.3×	20	264

Countries citing papers authored by Chenghui Zhao

Since Specialization

Citations

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

Fields of papers citing papers by Chenghui Zhao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenghui Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Chenghui Zhao. A scholar is included among the top collaborators of Chenghui Zhao 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 Chenghui Zhao. Chenghui Zhao 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

Liu, Yue, et al.. (2025). GCBRGCN: Integration of ceRNA and RGCN to Identify Gastric Cancer Biomarkers. Bioengineering. 12(3). 255–255. 1 indexed citations

Zhao, Chenghui, et al.. (2024). Causal relationships between circulating metabolites and rheumatoid arthritis: A mendelian randomization study. Heliyon. 10(12). e33085–e33085.

Zhao, Chenghui, et al.. (2024). Unraveling the causal association between leukocyte telomere length and infertility: A two-sample Mendelian randomization study. PLoS ONE. 19(3). e0298997–e0298997. 1 indexed citations

Zhang, Qiang, et al.. (2024). HyperTMO: a trusted multi-omics integration framework based on hypergraph convolutional network for patient classification. Bioinformatics. 40(4). 8 indexed citations

Zhao, Chenghui, Yan Yan, Qian Jia, et al.. (2023). Ceramide-1-phosphate alleviates high-altitude pulmonary edema by stabilizing circadian ARNTL-mediated mitochondrial dynamics. Journal of Advanced Research. 60. 75–92. 9 indexed citations

Ma, Jing, Ge Cheng, Yajun Shi, et al.. (2021). Chinese Home-Based Cardiac Rehabilitation Model Delivered by Smartphone Interaction Improves Clinical Outcomes in Patients With Coronary Heart Disease. Frontiers in Cardiovascular Medicine. 8. 731557–731557. 21 indexed citations

Wu, Jing, Min Zhao, Tao Li, et al.. (2021). HFIP: an integrated multi-omics data and knowledge platform for the precision medicine of heart failure. Database. 2021(2021). 4 indexed citations

Hong, Hao, Shuai Jiang, Hao Li, et al.. (2020). DeepHiC: A generative adversarial network for enhancing Hi-C data resolution. PLoS Computational Biology. 16(2). e1007287–e1007287. 50 indexed citations

Li, Ruijiang, Shuai Jiang, Wanying Li, et al.. (2019). Exploration of prognosis-related microRNA and transcription factor co-regulatory networks across cancer types. RNA Biology. 16(8). 1010–1021. 6 indexed citations

10.

Chen, Hebing, Zhuo Zhang, Shuai Jiang, et al.. (2019). New insights on human essential genes based on integrated analysis and the construction of the HEGIAP web-based platform. Briefings in Bioinformatics. 21(4). 1397–1410. 44 indexed citations

11.

Huang, Xin, Xudong Gao, Wanying Li, et al.. (2019). Stable H3K4me3 is associated with transcription initiation during early embryo development. Bioinformatics. 35(20). 3931–3936. 23 indexed citations

12.

Cheng, Ge, Jing Ma, Yong Xu, et al.. (2019). Predictors of adherence to home-based cardiac rehabilitation program among coronary artery disease outpatients in China.. PubMed. 16(10). 749–755. 22 indexed citations

13.

Li, Ruijiang, Hebing Chen, Shuai Jiang, et al.. (2018). CMTCN: a web tool for investigating cancer-specific microRNA and transcription factor co-regulatory networks. PeerJ. 6. e5951–e5951. 8 indexed citations

14.

Ren, Chao, et al.. (2018). Lnc2Catlas: an atlas of long noncoding RNAs associated with risk of cancers. Scientific Reports. 8(1). 1909–1909. 24 indexed citations

15.

Ouyang, Zhangyi, Feng Liu, Chenghui Zhao, et al.. (2018). Accurate identification of RNA editing sites from primitive sequence with deep neural networks. Scientific Reports. 8(1). 6005–6005. 14 indexed citations

16.

Ren, Chao, Feng Liu, Zhangyi Ouyang, et al.. (2017). Functional annotation of structural ncRNAs within enhancer RNAs in the human genome: implications for human disease. Scientific Reports. 7(1). 15518–15518. 27 indexed citations

17.

Zhao, Chenghui, et al.. (2016). Local training for PLDA in speaker verification. 156–160. 3 indexed citations

18.

Zhao, Chenghui, et al.. (2014). Detecting seed purity of wheat varieties using microsatellite markers based on eliminating the influence of non-homozygous loci. Seed Science and Technology. 42(3). 393–413. 6 indexed citations

19.

Zhao, Chenghui, et al.. (2013). Mechanics Study on Leveling Process by a Roller during Selective Laser Forming. Advanced materials research. 670. 101–105. 1 indexed citations

20.

Xi, Yajun, Xuefeng Ma, Huan Zhong, et al.. (2010). Characterization of a male sterile mutant from progeny of a transgenic plant containing a leaf senescence-inhibition gene in wheat. Euphytica. 177(2). 241–251. 5 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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