Machao Li

933 total citations
33 papers, 259 citations indexed

About

Machao Li is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Machao Li has authored 33 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 20 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in Machao Li's work include Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (17 papers) and Infectious Diseases and Tuberculosis (7 papers). Machao Li is often cited by papers focused on Tuberculosis Research and Epidemiology (27 papers), Mycobacterium research and diagnosis (17 papers) and Infectious Diseases and Tuberculosis (7 papers). Machao Li collaborates with scholars based in China, United Kingdom and Taiwan. Machao Li's co-authors include Xiuqin Zhao, Haican Liu, Guilian Li, Kanglin Wan, Zhiguang Liu, Lili Zhao, Tongyang Xiao, Yi Jiang, Shiqiang Lin and Yao Lu and has published in prestigious journals such as PLoS ONE, Analytical Biochemistry and Frontiers in Immunology.

In The Last Decade

Machao Li

30 papers receiving 253 citations

Peers

Machao Li
Machao Li
Citations per year, relative to Machao Li Machao Li (= 1×) peers Carmen A. Molina-Torres

Countries citing papers authored by Machao Li

Since Specialization
Citations

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

Fields of papers citing papers by Machao Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Machao Li

This figure shows the co-authorship network connecting the top 25 collaborators of Machao Li. A scholar is included among the top collaborators of Machao 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 Machao Li. Machao 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.
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
2.
Liu, Binbin, Wenbin Li, Qing Sun, et al.. (2024). Analysis on the epidemiological and drug resistance characteristics of osteoarticular tuberculosis in South-central China. Frontiers in Public Health. 12. 1432071–1432071.
3.
Yu, Xiang, Wenbin Li, Binbin Liu, et al.. (2024). Analysis on epidemiological and drug resistance characteristics of lymph node tuberculosis from Hunan province, China. Frontiers in Public Health. 12. 1432065–1432065.
4.
Sun, Qing, et al.. (2023). The acetylation of pknH is linked to the ethambutol resistance of Mycobacterium tuberculosis. Archives of Microbiology. 205(10). 337–337. 3 indexed citations
5.
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
6.
Cao, Bin, Guilian Li, Machao Li, et al.. (2023). A novel multi-component protein vaccine ECP001 containing a protein polypeptide antigen nPstS1 riching in T-cell epitopes showed good immunogenicity and protection in mice. Frontiers in Immunology. 14. 1138818–1138818. 3 indexed citations
7.
Zhao, Xiuqin, et al.. (2023). A novel multistage antigens ERA005f confer protection against Mycobacterium tuberculosis by driving Th-1 and Th-17 type T cell immune responses. Frontiers in Immunology. 14. 1276887–1276887. 1 indexed citations
8.
Wang, Quan, Machao Li, Yi Jiang, et al.. (2023). Genetic Characterization Conferred Co-Resistance to Isoniazid and Ethionamide in Mycobacterium tuberculosis Isolates from Southern Xinjiang, China. Infection and Drug Resistance. Volume 16. 3117–3135. 6 indexed citations
9.
Liu, Mengwen, Haican Liu, Quan Wang, et al.. (2023). Association of Single-Nucleotide Polymorphisms in the VDR Gene with Tuberculosis and Infection of Beijing Genotype Mycobacterium tuberculosis. Infection and Drug Resistance. Volume 16. 3157–3169. 4 indexed citations
10.
Jiang, Yi, Guilian Li, Machao Li, et al.. (2023). Immunogenicity and efficacy analyses of EPC002, ECA006, and EPCP009 protein subunit combinations as tuberculosis vaccine candidates. Vaccine. 41(26). 3836–3846. 7 indexed citations
11.
Liu, Mengwen, Quan Wang, Haican Liu, et al.. (2022). Association of Mannose-Binding Lectin 2 Gene Polymorphism with Tuberculosis Based on Mycobacterium tuberculosis Lineages. Infection and Drug Resistance. Volume 15. 1225–1234. 3 indexed citations
12.
Lu, Yao, Machao Li, Haican Liu, et al.. (2021). Detecting Mycobacterium tuberculosis complex and rifampicin resistance via a new rapid multienzyme isothermal point mutation assay. Analytical Biochemistry. 630. 114341–114341. 8 indexed citations
13.
Wang, Quan, Haican Liu, Miao Xu, et al.. (2021). Prevalence and Molecular Characteristics Based on Whole Genome Sequencing of Mycobacterium tuberculosis Resistant to Four Anti-Tuberculosis Drugs from Southern Xinjiang, China. Infection and Drug Resistance. Volume 14. 3379–3391. 10 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.
Zhao, Lili, Machao Li, Haican Liu, et al.. (2019). Beijing genotype of Mycobacterium tuberculosis is less associated with drug resistance in south China. International Journal of Antimicrobial Agents. 54(6). 766–770. 13 indexed citations
16.
Li, Guilian, Yi Jiang, Haican Liu, et al.. (2019). Synergistic activities of clofazimine with moxifloxacin or capreomycin against Mycobacterium tuberculosis in China. International Journal of Antimicrobial Agents. 54(5). 642–646. 9 indexed citations
17.
Li, Guilian, Jingrui Zhang, Yi Jiang, et al.. (2019). Cross-resistance of isoniazid, para-aminosalicylic acid and pasiniazid against isoniazid-resistant Mycobacterium tuberculosis isolates in China. Journal of Global Antimicrobial Resistance. 20. 275–281. 9 indexed citations
18.
Li, Yanan, Xinrui Cao, Shiming Li, et al.. (2016). Characterization of Mycobacterium tuberculosis isolates from Hebei, China: genotypes and drug susceptibility phenotypes. BMC Infectious Diseases. 16(1). 107–107. 26 indexed citations
19.
Zhou, Haijian, et al.. (2014). Clonal characteristics of invasive Neisseria meningitidis following initiation of an A + C vaccination program in China, 2005–2012. Journal of Infection. 70(1). 37–43. 15 indexed citations
20.
Qin, Tian, Hongyu Ren, Haijian Zhou, et al.. (2013). High Prevalence, Genetic Diversity and Intracellular Growth Ability of Legionella in Hot Spring Environments. PLoS ONE. 8(3). e59018–e59018. 21 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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