Mei Huang
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 5%
- Antifungal resistance and susceptibility
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Enzyme Catalysis and Immobilization 2
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- Antifungal resistance and susceptibility 5
- Co-authors
- Fangqiu Li (5 shared papers)Yi Shi (2 shared papers)Xin Su (2 shared papers)Ying Wang (2 shared papers)Wei Zhou (1 shared paper)Fang Zhang (1 shared paper)Pei Li (1 shared paper)Qian He (1 shared paper)
- Journals
- Chemical Engineering Science (2 papers)BMC Infectious Diseases (2 papers)Virulence (2 papers)Diagnostic Microbiology and Infectious Disease (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Mei Huang
21 papers receiving 629 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 201
- Infectious Diseases 299
- Endocrinology 86
- Applied Microbiology and Biotechnology 25
- Clinical Biochemistry 44
Countries citing papers authored by Mei Huang
This map shows the geographic impact of Mei Huang'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 Mei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Huang more than expected).
Fields of papers citing papers by Mei Huang
This network shows the impact of papers produced by Mei Huang. 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 Mei Huang. The network helps show where Mei Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mei Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 137 | |
| 2 | 2017 | 94 | |
| 3 | 2016 | 56 | |
| 4 | 2013 | 55 | |
| 5 | 2018 | 51 | |
| 6 | 2013 | 39 | |
| 7 | 2013 | 33 | |
| 8 | 2012 | 32 | |
| 9 | 2014 | 30 | |
| 10 | 2017 | 28 | |
| 11 | 2014 | 22 | |
| 12 | 2017 | 20 | |
| 13 | 2012 | 14 | |
| 14 | 2015 | 11 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2024 | 1 |
About Mei Huang
Mei Huang is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Epidemiology and Endocrinology, having authored 22 papers that have together received 637 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (5 papers), Antibiotic Resistance in Bacteria (5 papers), Fungal Infections and Studies (3 papers), Bacterial biofilms and quorum sensing (3 papers), Enzyme Catalysis and Immobilization (2 papers), Electrohydrodynamics and Fluid Dynamics (2 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Infections and bacterial resistance (2 papers). The work is most often cited by research in Molecular Medicine (201 citations), Infectious Diseases (299 citations), Endocrinology (86 citations), Applied Microbiology and Biotechnology (25 citations) and Clinical Biochemistry (44 citations). Mei Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Fangqiu Li, Yi Shi, Xin Su, Ying Wang, Wei Zhou, Fang Zhang, Pei Li, Qian He, Yan Zhang and Hongxing Li. Their work appears in journals such as Chemical Engineering Science, BMC Infectious Diseases, Virulence, Diagnostic Microbiology and Infectious Disease and BMC 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.