Menglan Zhou
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 13
- Modeling and Simulation top 1%
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 10
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility 14
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- Pneumonia and Respiratory Infections 10
- Fungal Infections and Studies 10
- Pneumocystis jirovecii pneumonia detection and treatment 5
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- Plant Pathogens and Fungal Diseases 6
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- Streptococcal Infections and Treatments 5
- Co-authors
- Yan WangLei ZhangGexin YouMiao ZhangFei TangTimothy KudinhaYingchun XuMeng Xiao
In The Last Decade
Menglan Zhou
44 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Medicine 247
- Modeling and Simulation 220
- Applied Microbiology and Biotechnology 64
- Clinical Biochemistry 187
- Infectious Diseases 450
Countries citing papers authored by Menglan Zhou
This map shows the geographic impact of Menglan Zhou'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 Menglan Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Menglan Zhou more than expected).
Fields of papers citing papers by Menglan Zhou
This network shows the impact of papers produced by Menglan Zhou. 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 Menglan Zhou. The network helps show where Menglan Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Menglan Zhou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 24 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 4 | |
| 10 | 2021 | 23 | |
| 11 | 2021 | 15 | |
| 12 | Knowledge, attitude, and practice regarding COVID-19 among healthcare workers in Henan, Chinabreakdown → | 2020 | 574 |
| 13 | 2020 | 1 | |
| 14 | 2020 | 7 | |
| 15 | Identification and antifungal susceptibility profiles of Kodamaea ohmeri based on a seven-year multicenter surveillance study | 2019 | 1 |
| 16 | 2019 | 11 | |
| 17 | 2019 | 8 | |
| 18 | 2019 | 11 | |
| 19 | 2018 | 35 | |
| 20 | 2018 | 74 |
About Menglan Zhou
Menglan Zhou is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Clinical Biochemistry, having authored 49 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (14 papers), Antibiotic Resistance in Bacteria (13 papers), Pneumonia and Respiratory Infections (10 papers), Bacterial Identification and Susceptibility Testing (10 papers), Fungal Infections and Studies (10 papers), Plant Pathogens and Fungal Diseases (6 papers), Pneumocystis jirovecii pneumonia detection and treatment (5 papers) and Streptococcal Infections and Treatments (5 papers). The work is most often cited by research in Molecular Medicine (247 citations), Modeling and Simulation (220 citations) and Applied Microbiology and Biotechnology (64 citations). Menglan Zhou has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Yan Wang, Lei Zhang, Gexin You, Miao Zhang, Fei Tang, Timothy Kudinha, Yingchun Xu, Meng Xiao, Qiwen Yang and Shu-Ying Yu. Their work appears in journals such as Frontiers in Microbiology, Infection and Drug Resistance, Journal of Microbiology Immunology and Infection, Journal of Clinical Microbiology and Frontiers in Cellular and Infection Microbiology.
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.