Zhuo Wang

1.5k total citations
52 papers, 847 citations indexed

About

Zhuo Wang is a scholar working on Molecular Biology, Immunology and Computational Theory and Mathematics. According to data from OpenAlex, Zhuo Wang has authored 52 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Immunology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Zhuo Wang's work include Machine Learning in Bioinformatics (7 papers), Antimicrobial Peptides and Activities (6 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Zhuo Wang is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), Antimicrobial Peptides and Activities (6 papers) and Bacterial Identification and Susceptibility Testing (6 papers). Zhuo Wang collaborates with scholars based in China, Taiwan and United States. Zhuo Wang's co-authors include Tzong-Yi Lee, Yuxuan Pang, Jhih-Hua Jhong, Alan M. Krensky, Carol Clayberger, Lantian Yao, Shu-Chen Lyu, Allan Kaspar, Dennis A. Hanson and Satoshi Okada and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Immunology.

In The Last Decade

Zhuo Wang

49 papers receiving 832 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhuo Wang China 17 453 182 166 106 100 52 847
Ulf Schaefer United Kingdom 16 692 1.5× 160 0.9× 235 1.4× 162 1.5× 100 1.0× 23 1.3k
Rachel Swiss United States 13 327 0.7× 130 0.7× 49 0.3× 27 0.3× 133 1.3× 17 845
Maria Kornienko Russia 13 439 1.0× 89 0.5× 58 0.3× 27 0.3× 43 0.4× 38 680
Marı́a Iturralde Spain 17 550 1.2× 75 0.4× 222 1.3× 138 1.3× 100 1.0× 32 1.0k
Jamil Ahmad Pakistan 14 592 1.3× 43 0.2× 158 1.0× 56 0.5× 126 1.3× 55 885
Nathan P. Manes United States 19 582 1.3× 23 0.1× 160 1.0× 104 1.0× 121 1.2× 39 952
Long Hu China 15 628 1.4× 41 0.2× 31 0.2× 325 3.1× 112 1.1× 32 1.0k
Rehan Zafar Paracha Pakistan 16 567 1.3× 49 0.3× 155 0.9× 40 0.4× 116 1.2× 73 987
Kyung‐Hoon Kwon South Korea 13 665 1.5× 236 1.3× 64 0.4× 107 1.0× 119 1.2× 37 1.1k
Julia Eitel Germany 19 662 1.5× 122 0.7× 691 4.2× 79 0.7× 223 2.2× 25 1.5k

Countries citing papers authored by Zhuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Zhuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhuo Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhuo Wang. A scholar is included among the top collaborators of Zhuo Wang 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 Zhuo Wang. Zhuo Wang 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, Zhuo, et al.. (2025). Deciphering ovarian cancer heterogeneity through spatial transcriptomics, single-cell profiling, and copy number variations. PLoS ONE. 20(3). e0317115–e0317115. 1 indexed citations
2.
Yuan, Zhilong, et al.. (2025). An integrative analysis reveals mechanisms of Prunella vulgaris in thyroid cancer metastasis. Phytomedicine. 145. 157051–157051.
3.
Ma, Qunchao, Mengdie Wang, Yanan Huang, et al.. (2023). Identification of a novel transthyretin mutation D39Y in a cardiac amyloidosis patient and its biochemical characterizations. Frontiers in Cardiovascular Medicine. 10. 1091183–1091183. 3 indexed citations
4.
Li, Chao, Zhe Fu, Tao Jin, et al.. (2023). A frog peptide provides new strategies for the intervention against skin wound healing. Cellular & Molecular Biology Letters. 28(1). 61–61. 33 indexed citations
5.
Li, Yuhui, Yuhui Li, Xuan Zheng, et al.. (2023). Exosomal circ‐AHCY promotes glioblastoma cell growth via Wnt/β‐catenin signaling pathway. Annals of Clinical and Translational Neurology. 10(6). 865–878. 18 indexed citations
6.
7.
Wang, Zhuo, Chen Gao, Shuanglian Wang, & Xuantao Su. (2023). Three-dimensional deep regression-based light scattering imaging system for nanoscale exosome analysis. Biomedical Optics Express. 14(5). 2055–2055. 3 indexed citations
8.
Wang, Zhuo, et al.. (2023). Novel iron-chelating peptide from egg yolk: Preparation, characterization, and iron transportation. Food Chemistry X. 18. 100692–100692. 21 indexed citations
9.
Wang, Zhuo, Thomas Efferth, Xin Hua, & Xinan Zhang. (2022). Medicinal plants and their secondary metabolites in alleviating knee osteoarthritis: A systematic review. Phytomedicine. 105. 154347–154347. 33 indexed citations
10.
Tang, Chao, Zhuo Wang, Xin Zhao, et al.. (2022). Metabolomics and transcriptomics reveal the effect of hetero-chitooligosaccharides in promoting growth of Brassica napus. Scientific Reports. 12(1). 21197–21197. 3 indexed citations
11.
Chung, Chia‐Ru, Zhuo Wang, Hsin‐Yao Wang, et al.. (2021). MDRSA: A Web Based-Tool for Rapid Identification of Multidrug Resistant Staphylococcus aureus Based on Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry. Frontiers in Microbiology. 12. 766206–766206. 7 indexed citations
12.
13.
Wang, Zhuo, et al.. (2020). Characterization and identification of lysine crotonylation sites based on machine learning method on both plant and mammalian. Scientific Reports. 10(1). 20447–20447. 15 indexed citations
14.
Pang, Yuxuan, Zhuo Wang, Jhih-Hua Jhong, & Tzong-Yi Lee. (2020). Identifying anti-coronavirus peptides by incorporating different negative datasets and imbalanced learning strategies. Briefings in Bioinformatics. 22(2). 1085–1095. 42 indexed citations
15.
Wang, Zhuo, Hsin‐Yao Wang, Chia‐Ru Chung, et al.. (2020). Large-scale mass spectrometry data combined with demographics analysis rapidly predicts methicillin resistance in Staphylococcus aureus. Briefings in Bioinformatics. 22(4). 9 indexed citations
16.
Jia, Shuo, Chao Wang, Zhuo Wang, et al.. (2019). N-linked glycosylation sites in G protein of infectious hematopoietic necrosis virus (IHNV) affect its virulence and immunogenicity in rainbow trout. Fish & Shellfish Immunology. 89. 537–547. 10 indexed citations
17.
Wang, Zhuo, Han Liu, & Seok‐Bum Ko. (2012). Design and implementation of a Radix-100 division unit. 12. 1239–1242. 1 indexed citations
18.
Chen, Haifeng, Maoying Wu, Zhuo Wang, & Dong‐Qing Wei. (2007). Insight into the Metabolism Rate of Quinone Analogues from Molecular Dynamics Simulation and 3D‐QSMR Methods. Chemical Biology & Drug Design. 70(4). 290–301. 3 indexed citations
19.
Sarwal, Minnie, Alkesh Jani, Stella Chang, et al.. (2001). Granulysin expression is a marker for acute rejection and steroid resistance in human renal transplantation. Human Immunology. 62(1). 21–31. 70 indexed citations
20.
Wang, Zhuo, Allan Kaspar, Dennis A. Hanson, et al.. (2000). Bactericidal and Tumoricidal Activities of Synthetic Peptides Derived from Granulysin. The Journal of Immunology. 165(3). 1486–1490. 108 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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