Guojian Liao

2.2k total citations · 1 hit paper
57 papers, 1.6k citations indexed

About

Guojian Liao is a scholar working on Molecular Biology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Guojian Liao has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 21 papers in Epidemiology and 20 papers in Infectious Diseases. Recurrent topics in Guojian Liao's work include Fungal Infections and Studies (17 papers), Microbial Natural Products and Biosynthesis (16 papers) and Antifungal resistance and susceptibility (15 papers). Guojian Liao is often cited by papers focused on Fungal Infections and Studies (17 papers), Microbial Natural Products and Biosynthesis (16 papers) and Antifungal resistance and susceptibility (15 papers). Guojian Liao collaborates with scholars based in China, United States and Czechia. Guojian Liao's co-authors include Chong Li, Xiaoyou Wang, Jianping Xie, Yang Yu, Yixuan Tang, Changhua Hu, Yu Nie, Jie Li, Xuemei Liu and Xiao-Lei Xu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Guojian Liao

52 papers receiving 1.6k citations

Hit Papers

Cryptococcus neoformans, a global threat to human health 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Cryptococcus neoformans, a global threat to human health
    2023 82 citations Youbao Zhao, Fujie Zhao et al. Infectious Diseases of Poverty profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guojian Liao China 22 720 391 291 264 229 57 1.6k
Buchang Zhang China 25 1.0k 1.4× 683 1.7× 259 0.9× 179 0.7× 399 1.7× 72 2.6k
Taisei Kanamoto Japan 23 655 0.9× 248 0.6× 78 0.3× 235 0.9× 102 0.4× 69 1.7k
E. Evdokimova Canada 27 1.3k 1.9× 191 0.5× 123 0.4× 191 0.7× 159 0.7× 73 2.2k
Douglas W. Lowman United States 24 436 0.6× 658 1.7× 122 0.4× 473 1.8× 117 0.5× 47 1.7k
Johnny X. Huang Australia 27 717 1.0× 242 0.6× 126 0.4× 225 0.9× 238 1.0× 48 1.8k
Alagiri Srinivasan India 25 744 1.0× 162 0.4× 100 0.3× 131 0.5× 77 0.3× 71 1.7k
Neeraj Chauhan United States 23 830 1.2× 222 0.6× 205 0.7× 201 0.8× 80 0.3× 69 1.8k
Yutaro Kaneko Japan 29 607 0.8× 306 0.8× 99 0.3× 192 0.7× 104 0.5× 91 2.1k
Jiaoyu Deng China 23 1.2k 1.6× 422 1.1× 215 0.7× 328 1.2× 41 0.2× 69 1.7k

Countries citing papers authored by Guojian Liao

Since Specialization
Citations

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

Fields of papers citing papers by Guojian Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guojian Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Guojian Liao. A scholar is included among the top collaborators of Guojian Liao 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 Guojian Liao. Guojian Liao 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.
2.
Liao, Guojian, Wenjing Liang, Haixia Yu, et al.. (2025). Assembly and Comparative Analysis of the Complete Mitochondrial Genomes of Smilax glabra and Smilax zeylanica. Genes. 16(4). 450–450.
3.
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5.
Ying, Tao, et al.. (2024). Targeting the cysteine biosynthesis pathway in microorganisms: Mechanism, structure, and drug discovery. European Journal of Medicinal Chemistry. 271. 116461–116461. 8 indexed citations
6.
Zhu, Ping, Yan Li, Ting Guo, et al.. (2023). New antifungal strategies: Drug combination and co-delivery. Advanced Drug Delivery Reviews. 198. 114874–114874. 31 indexed citations
7.
Zhao, Youbao, Fujie Zhao, Lanyue Zhang, et al.. (2023). Cryptococcus neoformans, a global threat to human health. Infectious Diseases of Poverty. 12(1). 20–20. 82 indexed citations breakdown →
8.
Long, Tao, Tolbert Osire, Lin Wang, et al.. (2023). Novel cytochrome P450s for various hydroxylation of steroids from filamentous fungi. Bioresource Technology. 394. 130244–130244. 9 indexed citations
9.
Zheng, Jiao, Lei Chen, Ye Chow Kuang, et al.. (2022). Functional Characterization of the GlcNAc Catabolic Pathway in Cryptococcus deneoformans. Applied and Environmental Microbiology. 88(13). e0043722–e0043722. 2 indexed citations
10.
Liu, Huimin, Weixin Ke, Hao Ding, et al.. (2022). A Velvet Transcription Factor Specifically Activates Mating through a Novel Mating-Responsive Protein in the Human Fungal Pathogen Cryptococcus deneoformans. Microbiology Spectrum. 10(3). e0265321–e0265321. 2 indexed citations
11.
Zhang, Xing, Minghui Wang, Xiaodi Zhu, et al.. (2022). Development of Lipo-γ-AA Peptides as Potent Antifungal Agents. Journal of Medicinal Chemistry. 65(11). 8029–8039. 18 indexed citations
12.
Hu, Pengjie, Hao Ding, Huimin Liu, et al.. (2022). Regulatory basis for reproductive flexibility in a meningitis-causing fungal pathogen. Nature Communications. 13(1). 7938–7938. 5 indexed citations
13.
Li, Zhong, Bin Fu, Binbin Liu, et al.. (2019). Cisplatin protects mice from challenge of Cryptococcus neoformans by targeting the Prp8 intein. Emerging Microbes & Infections. 8(1). 895–908. 20 indexed citations
14.
Xie, Jing, Qing Shen, Kexin Huang, et al.. (2019). Oriented Assembly of Cell-Mimicking Nanoparticles via a Molecular Affinity Strategy for Targeted Drug Delivery. ACS Nano. 13(5). 5268–5277. 93 indexed citations
15.
Liu, Linxia, Lei Chen, Jiao Zheng, et al.. (2018). Genetic basis for coordination of meiosis and sexual structure maturation in Cryptococcus neoformans. eLife. 7. 28 indexed citations
16.
Liao, Guojian, Yina Wang, Tong‐Bao Liu, et al.. (2018). Role of the inositol pyrophosphate multikinase Kcs1 in Cryptococcus inositol metabolism. Fungal Genetics and Biology. 113. 42–51. 8 indexed citations
17.
Wu, Shuang, et al.. (2016). [Novel liposomal drug delivery system actively targeting Cryptococcus neoformans and elimination of infection].. PubMed. 51(7). 1150–7. 1 indexed citations
18.
Liao, Guojian, Qing Liu, & Jianping Xie. (2013). Transcriptional analysis of the effect of exogenous decanoic acid stress on Streptomyces roseosporus. Microbial Cell Factories. 12(1). 19–19. 26 indexed citations
19.
Wang, L., et al.. (2012). Improvement of A21978C production in Streptomyces roseosporus by reporter-guided rpsL mutation selection. Journal of Applied Microbiology. 112(6). 1095–1101. 27 indexed citations
20.
Liao, Guojian, Jine Li, Lei Li, et al.. (2009). Selectively improving nikkomycin Z production by blocking the imidazolone biosynthetic pathway of nikkomycin X and uracil feeding in Streptomyces ansochromogenes. Microbial Cell Factories. 8(1). 61–61. 22 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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