Kanglin Wan

3.1k total citations
129 papers, 1.6k citations indexed

About

Kanglin Wan is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Kanglin Wan has authored 129 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Infectious Diseases, 96 papers in Epidemiology and 29 papers in Molecular Biology. Recurrent topics in Kanglin Wan's work include Tuberculosis Research and Epidemiology (104 papers), Mycobacterium research and diagnosis (86 papers) and Infectious Diseases and Tuberculosis (18 papers). Kanglin Wan is often cited by papers focused on Tuberculosis Research and Epidemiology (104 papers), Mycobacterium research and diagnosis (86 papers) and Infectious Diseases and Tuberculosis (18 papers). Kanglin Wan collaborates with scholars based in China, United States and Taiwan. Kanglin Wan's co-authors include Xiuqin Zhao, Haican Liu, Guilian Li, Yi Jiang, Lili Zhao, Zhiguang Liu, Li Wan, Jingrui Zhang, Tongyang Xiao and Jianhao Wei and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Analytical Biochemistry.

In The Last Decade

Kanglin Wan

123 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
Kanglin Wan China 22 1.2k 1.0k 356 293 166 129 1.6k
Eric Legrand France 27 896 0.7× 931 0.9× 304 0.9× 366 1.2× 183 1.1× 68 2.9k
Andréa von Groll Brazil 19 843 0.7× 766 0.8× 272 0.8× 315 1.1× 77 0.5× 86 1.3k
Borna Müller Switzerland 18 1.4k 1.2× 1.2k 1.2× 353 1.0× 453 1.5× 69 0.4× 24 1.8k
Pilar Domenech Canada 21 1.7k 1.4× 1.6k 1.5× 623 1.8× 518 1.8× 221 1.3× 31 2.2k
Josephine M. Bryant United Kingdom 17 1.1k 1.0× 1.5k 1.4× 471 1.3× 317 1.1× 45 0.3× 27 1.8k
Melinda J. Pryor Australia 20 1.2k 1.0× 721 0.7× 544 1.5× 76 0.3× 175 1.1× 21 2.1k
Wafa Frigui France 21 1.5k 1.2× 1.3k 1.3× 521 1.5× 277 0.9× 543 3.3× 31 2.0k
Sang-Nae Cho South Korea 30 2.0k 1.7× 1.8k 1.8× 503 1.4× 762 2.6× 428 2.6× 76 2.6k
Gerrit Coetzee South Africa 22 1.3k 1.1× 1.2k 1.2× 191 0.5× 502 1.7× 59 0.4× 32 1.6k
Fabiana Bigi Argentina 27 2.0k 1.6× 1.7k 1.7× 843 2.4× 450 1.5× 403 2.4× 107 2.5k

Countries citing papers authored by Kanglin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Kanglin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanglin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Kanglin Wan. A scholar is included among the top collaborators of Kanglin Wan 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 Kanglin Wan. Kanglin Wan 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, Xinrui, Kanglin Wan, Jianle Zhang, et al.. (2025). Reliability assessment of using different heavy metals in remote sedimentary records to reconstruct historical pollution. Environmental Pollution. 368. 125673–125673.
2.
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
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.
Jiang, Qi, Haican Liu, Qingyun Liu, et al.. (2023). The Evolution and Transmission Dynamics of Multidrug-Resistant Tuberculosis in an Isolated High-Plateau Population of Tibet, China. Microbiology Spectrum. 11(2). e0399122–e0399122. 7 indexed citations
6.
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
7.
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
8.
Wan, Kanglin, et al.. (2018). Single-nucleotide polymorphisms related to fluoroquinolone and aminoglycoside resistance in <em>Mycobacterium avium</em> isolates. Infection and Drug Resistance. Volume 11. 515–521. 9 indexed citations
9.
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
10.
11.
Chen, Shuangshuang, Machao Li, Haican Liu, et al.. (2016). [Analysis on human T cell epitopes polymorphisms of five specific antigens of Mycobacterium tuberculosis in 13 areas of China].. PubMed. 37(4). 553–7. 2 indexed citations
12.
13.
Wan, Li, Shuangshuang Chen, Zhiguang Liu, et al.. (2016). [Analysis on drug resistance of Mycobacterium tuberculosis and influencing factors in six provinces of China].. PubMed. 37(7). 945–8. 2 indexed citations
14.
Li, Guilian, Qian Guo, Mingxiang Huang, et al.. (2016). Antimicrobial susceptibility and MIC distribution of 41 drugs against clinical isolates from China and reference strains of nontuberculous mycobacteria. International Journal of Antimicrobial Agents. 49(3). 364–374. 38 indexed citations
15.
Jiang, Yi, Haican Liu, Xuezhi Wang, et al.. (2016). Genetic diversity of immune-related antigens in Region of Difference 2 of Mycobacterium tuberculosis strains. Tuberculosis. 104. 1–7. 12 indexed citations
16.
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
17.
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
18.
19.
Zhang, Wen, Yuanyuan Zhang, Huajun Zheng, et al.. (2013). Genome Sequencing and Analysis of BCG Vaccine Strains. PLoS ONE. 8(8). e71243–e71243. 72 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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