Mao‐Shui Wang

535 total citations
51 papers, 253 citations indexed

About

Mao‐Shui Wang is a scholar working on Infectious Diseases, Surgery and Epidemiology. According to data from OpenAlex, Mao‐Shui Wang has authored 51 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Infectious Diseases, 26 papers in Surgery and 22 papers in Epidemiology. Recurrent topics in Mao‐Shui Wang's work include Tuberculosis Research and Epidemiology (25 papers), Infectious Diseases and Tuberculosis (17 papers) and Pleural and Pulmonary Diseases (14 papers). Mao‐Shui Wang is often cited by papers focused on Tuberculosis Research and Epidemiology (25 papers), Infectious Diseases and Tuberculosis (17 papers) and Pleural and Pulmonary Diseases (14 papers). Mao‐Shui Wang collaborates with scholars based in China, Australia and United Kingdom. Mao‐Shui Wang's co-authors include Xin‐Feng Wang, Chao Han, Yu He, Xinjie Liu, Yunshan Wang, Yanhua Wu, Junli Wang, Junli Wang, Yanan Zhang and Mei Zhao and has published in prestigious journals such as Clinical Infectious Diseases, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Mao‐Shui Wang

43 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mao‐Shui Wang China 9 114 108 86 73 28 51 253
Sue M. Mietzner United States 7 100 0.9× 53 0.5× 170 2.0× 23 0.3× 24 0.9× 12 309
Ulla Birgitte Hartling Denmark 11 174 1.5× 157 1.5× 130 1.5× 70 1.0× 25 0.9× 22 373
Laurent Balu France 8 67 0.6× 56 0.5× 155 1.8× 87 1.2× 12 0.4× 16 301
Olof Berg Sweden 9 57 0.5× 166 1.5× 106 1.2× 52 0.7× 15 0.5× 11 393
J. M. Aguado Spain 9 70 0.6× 105 1.0× 135 1.6× 23 0.3× 25 0.9× 16 224
Elena Rámila Spain 6 111 1.0× 58 0.5× 237 2.8× 62 0.8× 19 0.7× 8 326
Diyuan Yang China 11 77 0.7× 29 0.3× 145 1.7× 45 0.6× 22 0.8× 31 315
M Ardian Australia 6 219 1.9× 76 0.7× 175 2.0× 64 0.9× 4 0.1× 8 284
Agnese Viscido Italy 10 100 0.9× 48 0.4× 151 1.8× 86 1.2× 7 0.3× 27 290
Toshinobu Yokoyama Japan 9 91 0.8× 54 0.5× 68 0.8× 59 0.8× 6 0.2× 25 209

Countries citing papers authored by Mao‐Shui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mao‐Shui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mao‐Shui 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 Mao‐Shui Wang. The network helps show where Mao‐Shui Wang may publish in the future.

Co-authorship network of co-authors of Mao‐Shui Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Mao‐Shui Wang. A scholar is included among the top collaborators of Mao‐Shui 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 Mao‐Shui Wang. Mao‐Shui 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, Xiaodan, et al.. (2025). Diagnostic performance of MALDI-TOF MS for non-tuberculous mycobacteria: A systematic review and meta-analysis. European Journal of Clinical Microbiology & Infectious Diseases. 45(2). 315–329.
2.
Wang, Junli, et al.. (2025). Clinical Mycobacterium tuberculosis isolates exhibit a molecular clock rate below 1 SNP per genome per year. Frontiers in Microbiology. 16. 1591792–1591792.
3.
Wang, Mao‐Shui, et al.. (2024). Conversion or Reversion of Interferon γ Release Assays for Mycobacterium tuberculosis Infection: A Systematic Review and Meta-analysis. Clinical Infectious Diseases. 80(1). 168–179. 1 indexed citations
4.
Zhou, Ming, et al.. (2024). The efficacy and safety of high-dose isoniazid-containing therapy for multidrug-resistant tuberculosis: a systematic review and meta-analysis. Frontiers in Pharmacology. 14. 1331371–1331371. 5 indexed citations
5.
Wang, Yan, et al.. (2023). Diagnostic Yield of Nucleic Acid Amplification Tests in Oral Samples for Pulmonary Tuberculosis: A Systematic Review and Meta-analysis. Open Forum Infectious Diseases. 10(3). ofad082–ofad082. 1 indexed citations
6.
Chen, Lei, et al.. (2023). Secondary ear reconstruction based on the Nagata method after unsatisfactory microtia surgery outcomes. Journal of Plastic Reconstructive & Aesthetic Surgery. 87. 251–258. 1 indexed citations
7.
He, Yu, Junli Wang, Yanan Zhang, & Mao‐Shui Wang. (2022). Prevalence of Culture-Confirmed Tuberculosis Among Patients with Nontuberculous Mycobacterial Disease. Infection and Drug Resistance. Volume 15. 3097–3101. 5 indexed citations
8.
Zhang, Yanan, et al.. (2022). Performance of Interferon-γ Release Assays in Patients with Mycobacterium kansasii Infection. Infection and Drug Resistance. Volume 15. 7727–7732. 1 indexed citations
9.
Wang, Mao‐Shui, Mei Zhao, & Xinjie Liu. (2021). Risk factors for poor outcome in childhood tuberculous meningitis. Scientific Reports. 11(1). 8654–8654. 11 indexed citations
10.
Zhou, Ming, et al.. (2021). Risk factors associated with surgical intervention in childhood pleural tuberculosis. Scientific Reports. 11(1). 3084–3084. 1 indexed citations
11.
Han, Chao, et al.. (2020). Treatment delay in childhood pleural tuberculosis and associated factors. BMC Infectious Diseases. 20(1). 793–793. 5 indexed citations
12.
Wang, Junli, et al.. (2020). Prevalence of invasive aspergillosis in suspected pulmonary tuberculosis at a referral tuberculosis hospital in Shandong, China. Epidemiology and Infection. 148. 1–15. 1 indexed citations
13.
Chen, Hui, et al.. (2019). Identification of the Ligands of TCRγδ by Screening the Immune Repertoire of γδT Cells From Patients With Tuberculosis. Frontiers in Immunology. 10. 2282–2282. 9 indexed citations
14.
Wang, Mao‐Shui, Chao Han, & Yu He. (2019). Diagnostic role of medical thoracoscopy in childhood pleural tuberculosis. Scientific Reports. 9(1). 8399–8399. 4 indexed citations
15.
He, Yu, et al.. (2017). Total delay in treatment among tuberculous meningitis patients in China: a retrospective cohort study. BMC Infectious Diseases. 17(1). 341–341. 21 indexed citations
17.
Wang, Xin‐Feng, et al.. (2016). Comparison of bronchial brushing and sputum in detection of pediatric pulmonary tuberculosis. ˜The œItalian Journal of Pediatrics/Italian journal of pediatrics. 42(1). 11–11. 2 indexed citations
18.
Wang, Mao‐Shui, Junli Wang, & Xin‐Feng Wang. (2016). The performance of interferon-gamma release assay in nontuberculous mycobacterial diseases: a retrospective study in China. BMC Pulmonary Medicine. 16(1). 163–163. 14 indexed citations
19.
Wang, Mao‐Shui, Zhiqiang Zhang, & Xin‐Feng Wang. (2014). Superoxide dismutase 2 as a marker to differentiate tuberculous pleural effusions from malignant pleural effusions. Clinics. 69(12). 799–803. 6 indexed citations
20.
Wang, Mao‐Shui, et al.. (2014). Evaluation of ALS Assay of TB-SA for Diagnosis of Pulmonary Tuberculosis. Journal of Immunoassay and Immunochemistry. 36(2). 119–127. 5 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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