Ming-Gui Wang

631 total citations
34 papers, 393 citations indexed

About

Ming-Gui Wang is a scholar working on Infectious Diseases, Epidemiology and Immunology. According to data from OpenAlex, Ming-Gui Wang has authored 34 papers receiving a total of 393 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 17 papers in Epidemiology and 11 papers in Immunology. Recurrent topics in Ming-Gui Wang's work include Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (8 papers) and Pneumonia and Respiratory Infections (6 papers). Ming-Gui Wang is often cited by papers focused on Tuberculosis Research and Epidemiology (21 papers), Mycobacterium research and diagnosis (8 papers) and Pneumonia and Respiratory Infections (6 papers). Ming-Gui Wang collaborates with scholars based in China and Canada. Ming-Gui Wang's co-authors include Shouquan Wu, Jian‐Qing He, Miaomiao Zhang, Yu Wang, Andrew J. Sandford, Weiwei Huang, Yunxia Zhang, Miaomiao Zhang, Lan Luo and Xiangming Liu and has published in prestigious journals such as Scientific Reports, Frontiers in Immunology and Archives of Biochemistry and Biophysics.

In The Last Decade

Ming-Gui Wang

33 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Gui Wang China 13 203 170 94 83 76 34 393
Shouquan Wu China 14 205 1.0× 173 1.0× 113 1.2× 53 0.6× 94 1.2× 37 413
Yee Tang Wang Singapore 10 389 1.9× 294 1.7× 66 0.7× 131 1.6× 185 2.4× 22 599
Elena Grimaldi Italy 14 108 0.5× 99 0.6× 79 0.8× 39 0.5× 79 1.0× 35 445
Juliana Gil Melgaço Brazil 12 196 1.0× 266 1.6× 188 2.0× 30 0.4× 119 1.6× 28 659
Peijun Tang China 12 188 0.9× 162 1.0× 51 0.5× 75 0.9× 118 1.6× 36 445
Jennifer Roe United Kingdom 12 375 1.8× 290 1.7× 99 1.1× 110 1.3× 113 1.5× 16 636
Amara Yowang Thailand 8 152 0.7× 85 0.5× 111 1.2× 24 0.3× 47 0.6× 9 584
Natasha Strydom United States 10 253 1.2× 160 0.9× 91 1.0× 51 0.6× 113 1.5× 21 447
Jin Gu China 11 295 1.5× 213 1.3× 37 0.4× 109 1.3× 67 0.9× 17 430
William C. Whitworth United States 15 214 1.1× 186 1.1× 72 0.8× 97 1.2× 92 1.2× 22 539

Countries citing papers authored by Ming-Gui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Gui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming-Gui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Gui Wang. A scholar is included among the top collaborators of Ming-Gui 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 Ming-Gui Wang. Ming-Gui 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, Ming-Gui, et al.. (2025). Engineered bacteria for cancer therapy: Advancements, challenges, and future directions. Chinese Medical Journal. 138(24). 3224–3250.
2.
Yang, Yuhua, Suqin He, Lihong Xu, et al.. (2025). Transcriptome and WGCNA reveals the potential genetic basis of photoperiod-sensitive male sterility in soybean. BMC Genomics. 26(1). 131–131. 1 indexed citations
3.
Zhang, Juan, et al.. (2023). Association between a single nucleotide polymorphism of the ALOX5 gene and susceptibility to multisystem tuberculosis in a Chinese Han population. Microbial Pathogenesis. 183. 106289–106289. 2 indexed citations
4.
Zhang, Juan, et al.. (2023). Association between a single nucleotide polymorphism of the IL23R gene and tuberculosis in a Chinese Han population: a case‒control study. BMC Pulmonary Medicine. 23(1). 265–265. 2 indexed citations
5.
Qin, Chen, Qinbo Yang, Kai Liu, et al.. (2023). Clinical characteristics, outcomes and risk factors for mortality in hospitalized diabetes and chronic kidney disease patients after COVID-19 infection following widespread vaccination. Journal of Endocrinological Investigation. 47(3). 619–631. 1 indexed citations
6.
Zhang, Mengmeng, Ming-Gui Wang, & Jian‐Qing He. (2022). Intensified Antituberculosis Therapy Regimen Containing Higher Dose Rifampin for Tuberculous Meningitis: A Systematic Review and Meta-Analysis. Frontiers in Medicine. 9. 822201–822201. 4 indexed citations
7.
Wang, Ming-Gui, et al.. (2022). Plasma metabolomic and lipidomic alterations associated with anti-tuberculosis drug-induced liver injury. Frontiers in Pharmacology. 13. 1044808–1044808. 11 indexed citations
8.
Wang, Ming-Gui, et al.. (2022). Impacts of clofazimine on the treatment outcomes of drug-resistant tuberculosis. Microbes and Infection. 25(1-2). 105020–105020. 9 indexed citations
10.
Wu, Shouquan, et al.. (2022). Metabolomics and microbiomes for discovering biomarkers of antituberculosis drugs-induced hepatotoxicity. Archives of Biochemistry and Biophysics. 716. 109118–109118. 13 indexed citations
11.
Wang, Ming-Gui, et al.. (2021). Efficacy of bedaquiline in the treatment of drug-resistant tuberculosis: a systematic review and meta-analysis. BMC Infectious Diseases. 21(1). 970–970. 33 indexed citations
12.
Wang, Ming-Gui, Jing Wang, & Jian‐Qing He. (2021). Genetic association of TOLLIP gene polymorphisms and HIV infection: a case-control study. BMC Infectious Diseases. 21(1). 590–590. 3 indexed citations
13.
Wang, Ming-Gui, Shouquan Wu, Miaomiao Zhang, et al.. (2019). Abbott RealTime MTB and MTB RIF/INH assays for the diagnosis of tuberculosis and rifampicin/isoniazid resistance. Infection Genetics and Evolution. 71. 54–59. 9 indexed citations
14.
Wang, Yu, Weiwei Huang, Andrew J. Sandford, et al.. (2019). Association of PXR and CAR Polymorphisms and Antituberculosis Drug-Induced Hepatotoxicity. Scientific Reports. 9(1). 2217–2217. 27 indexed citations
15.
Wang, Ming-Gui, et al.. (2019). Treatment outcomes of tuberculous meningitis in adults: a systematic review and meta-analysis. BMC Pulmonary Medicine. 19(1). 200–200. 40 indexed citations
16.
Wu, Shouquan, Ming-Gui Wang, Yu Wang, & Jian‐Qing He. (2019). Polymorphisms of cytokine genes and tuberculosis in two independent studies. Scientific Reports. 9(1). 2507–2507. 22 indexed citations
17.
Wang, Ming-Gui, Miaomiao Zhang, Yu Wang, et al.. (2018). Association of TLR8 and TLR9 polymorphisms with tuberculosis in a Chinese Han population: a case-control study. BMC Infectious Diseases. 18(1). 561–561. 15 indexed citations
18.
Zhang, Miaomiao, Xiaoyan Tang, Yu Wang, et al.. (2018). Variants of TLR1 associated with tuberculosis susceptibility in the Chinese Tibetan population but not in Han Chinese. Infection Genetics and Evolution. 61. 53–59. 6 indexed citations
19.
Wu, Shouquan, Yu Wang, Miaomiao Zhang, Ming-Gui Wang, & Jian‐Qing He. (2018). Transforming growth factor-beta 1 polymorphisms and anti-tuberculosis drug-induced liver injury. Polymorphisms in TGFβ1 and its relationship with anti-tuberculosis drug-induced liver injury. Therapies. 74(3). 399–406. 3 indexed citations
20.
Wu, Shouquan, Yu Wang, Guo Chen, et al.. (2018). 2′-5′-Oligoadenylate synthetase 1 polymorphisms are associated with tuberculosis: a case-control study. BMC Pulmonary Medicine. 18(1). 180–180. 13 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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