Guilian Li

2.2k total citations
114 papers, 1.7k citations indexed

About

Guilian Li is a scholar working on Infectious Diseases, Epidemiology and Inorganic Chemistry. According to data from OpenAlex, Guilian Li has authored 114 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Infectious Diseases, 50 papers in Epidemiology and 25 papers in Inorganic Chemistry. Recurrent topics in Guilian Li's work include Tuberculosis Research and Epidemiology (55 papers), Mycobacterium research and diagnosis (47 papers) and Metal-Organic Frameworks: Synthesis and Applications (25 papers). Guilian Li is often cited by papers focused on Tuberculosis Research and Epidemiology (55 papers), Mycobacterium research and diagnosis (47 papers) and Metal-Organic Frameworks: Synthesis and Applications (25 papers). Guilian Li collaborates with scholars based in China, Australia and United States. Guilian Li's co-authors include Chongshen Guo, Xiuqin Zhao, Kanglin Wan, Shaoqin Liu, Haican Liu, Mei Yan, Yi Jiang, Lili Zhao, Guang‐Zhen Liu and Shouhao Zhang and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Guilian Li

106 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guilian Li China 21 789 698 272 229 222 114 1.7k
John A. Moss United States 26 545 0.7× 255 0.4× 590 2.2× 184 0.8× 572 2.6× 69 2.1k
Jonathan C. Thomas United States 23 749 0.9× 180 0.3× 560 2.1× 595 2.6× 76 0.3× 57 2.4k
Kai Deng China 26 644 0.8× 223 0.3× 642 2.4× 547 2.4× 958 4.3× 142 3.3k
Raúl Dı́az Spain 30 197 0.2× 229 0.3× 805 3.0× 299 1.3× 192 0.9× 128 2.8k
Shama Parveen India 25 648 0.8× 623 0.9× 147 0.5× 261 1.1× 17 0.1× 129 2.2k
Rongcheng Li China 23 586 0.7× 599 0.9× 278 1.0× 54 0.2× 43 0.2× 92 1.7k
Qingge Li China 27 319 0.4× 274 0.4× 822 3.0× 976 4.3× 135 0.6× 110 2.8k
Allison C. Brown United States 24 133 0.2× 119 0.2× 237 0.9× 147 0.6× 261 1.2× 53 1.8k
Yuexia Li China 21 309 0.4× 171 0.2× 281 1.0× 217 0.9× 173 0.8× 64 1.5k
Junjie Xu China 22 339 0.4× 151 0.2× 284 1.0× 724 3.2× 148 0.7× 120 1.9k

Countries citing papers authored by Guilian Li

Since Specialization
Citations

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

Fields of papers citing papers by Guilian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guilian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guilian Li. A scholar is included among the top collaborators of Guilian Li 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 Guilian Li. Guilian Li 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.
Li, Machao, Tongyang Xiao, Haican Liu, et al.. (2024). Different Contributions of embB and ubiA Mutations to Variable Level of Ethambutol Resistance in Mycobacterium tuberculosis Isolates. Infection and Drug Resistance. Volume 17. 3125–3132. 1 indexed citations
2.
Dong, Jilin, Guilian Li, Bingbing Liu, et al.. (2024). Mycobacterium tuberculosis short mutant H37Rv-S with reduced growth adaptability is more readily recognized by the host immune system. Microbial Pathogenesis. 198. 107128–107128. 1 indexed citations
3.
4.
Wang, Quan, Haican Liu, Yi Jiang, et al.. (2024). Identification of positively selected genes in Mycobacterium tuberculosis from southern Xinjiang Uygur autonomous region of China. Frontiers in Microbiology. 15. 1290227–1290227. 1 indexed citations
5.
6.
7.
Han, Yajun, et al.. (2023). Epidemiological Characteristics of Notifiable Respiratory Infectious Diseases in Mainland China from 2010 to 2018. International Journal of Environmental Research and Public Health. 20(5). 3946–3946. 5 indexed citations
8.
Liu, Haican, Quan Wang, Bin Cao, et al.. (2023). Molecular Epidemiology of Clinical Mycobacterium tuberculosis Isolates from Southern Xinjiang, China Using Spoligotyping and 15-Locus MIRU-VNTR Typing. Infection and Drug Resistance. Volume 16. 1313–1326. 6 indexed citations
9.
Ma, Jinfang, et al.. (2022). Early warning and diagnostic visualization of Sclerotinia infected tomato based on hyperspectral imaging. Scientific Reports. 12(1). 21140–21140. 9 indexed citations
10.
Li, Xinghua, et al.. (2022). Analysis on the Effect of Metformin Hydrochloride Combined with Insulin Pump for Gestational Diabetes Mellitus. Iranian Journal of Public Health. 51(1). 96–104. 3 indexed citations
11.
Chen, Zixin, Yuhan Yan, Xiaoyan Li, et al.. (2022). High Immunogenicity of a T-Cell Epitope-Rich Recombinant Protein Rv1566c-444 From Mycobacterium tuberculosis in Immunized BALB/c Mice, Despite Its Low Diagnostic Sensitivity. Frontiers in Immunology. 13. 824415–824415. 2 indexed citations
12.
Li, Guilian, et al.. (2021). Characterization of the gut microbiota in hemodialysis patients with sarcopenia. International Urology and Nephrology. 54(8). 1899–1906. 13 indexed citations
13.
Yang, Zhengrong, Baisheng Li, Tiejian Feng, et al.. (2021). A newly identified linear epitope on non-RBD region of SARS-CoV-2 spike protein improves the serological detection rate of COVID-19 patients. BMC Microbiology. 21(1). 194–194. 8 indexed citations
14.
Wan, Li, Haican Liu, Machao Li, et al.. (2020). Genomic Analysis Identifies Mutations Concerning Drug-Resistance and Beijing Genotype in Multidrug-Resistant Mycobacterium tuberculosis Isolated From China. Frontiers in Microbiology. 11. 1444–1444. 17 indexed citations
15.
Li, Guilian & Xiaowei Fu. (2018). Establishment and effect of extended nursing service model for outpatient intravenous treatment. 26(6). 385–388. 1 indexed citations
16.
Li, Chao, Guilian Li, Shuangjun Li, et al.. (2017). [A preliminary study on the molecular characteristics of D-cycloserine resistance of Mycobacterium tuberculosis].. PubMed. 38(2). 240–243. 1 indexed citations
17.
Yan, Mei, Guilian Li, Chongshen Guo, et al.. (2016). WO3−xsensitized TiO2spheres with full-spectrum-driven photocatalytic activities from UV to near infrared. Nanoscale. 8(41). 17828–17835. 90 indexed citations
18.
Jiang, Yi, Jianhao Wei, Haican Liu, et al.. (2015). Polymorphisms in the PE35 and PPE68 antigens in Mycobacterium tuberculosis strains may affect strain virulence and reflect ongoing immune evasion. Molecular Medicine Reports. 13(1). 947–954. 15 indexed citations
19.
Jiang, Yi, Li Wan, Zhijian Zhang, et al.. (2014). Conserved alanine rich protein Rv3878 in Mycobacterium tuberculosis contains sequence polymorphisms. Tuberculosis. 94(3). 245–251. 1 indexed citations
20.
Lian, Lulu, Xiuqin Zhao, Haiyan Dong, et al.. (2013). The first case of pulmonary disease caused by Mycobacterium septicum in China. International Journal of Infectious Diseases. 17(5). e352–e354. 10 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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