Ming Huang
- Virology top 5%
- HIV Research and Treatment 11
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 4
- Molecular Medicine top 10%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 4
- Microbiology top 10%
-
- Extracellular vesicles in disease 7
- Protein Interaction Studies and Fluorescence Analysis 4
-
- MicroRNA in disease regulation 5
-
- Monoclonal and Polyclonal Antibodies Research 5
-
- Metal complexes synthesis and properties 5
- Co-authors
- Fred C. TenoverVincent C. BondMichael D. PowellC N BakerShailendra N. BanerjeeMahfuz KhanAndrea RaymondFrançois Villinger
- Journals
- Journal of Clinical Microbiology (3 papers)Journal of Visualized Experiments (3 papers)Journal of Agricultural and Food Chemistry (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ming Huang
33 papers receiving 745 citations
Peers
Comparison fields: 5 of 94
- Virology 160
- Clinical Biochemistry 120
- Molecular Medicine 68
- Infectious Diseases 240
- Microbiology 44
Countries citing papers authored by Ming Huang
This map shows the geographic impact of Ming 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 Ming Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Huang more than expected).
Fields of papers citing papers by Ming Huang
This network shows the impact of papers produced by Ming 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 Ming Huang. The network helps show where Ming Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2020 | 11 | |
| 10 | 2018 | 22 | |
| 11 | 2018 | 5 | |
| 12 | 2016 | 43 | |
| 13 | 2014 | 77 | |
| 14 | 2014 | 10 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 20 | |
| 17 | 2010 | 135 | |
| 18 | 1994 | 23 | |
| 19 | 1993 | 59 | |
| 20 | 1992 | 3 |
About Ming Huang
Ming Huang is a scholar working on Virology, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 760 indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Extracellular vesicles in disease (7 papers), MicroRNA in disease regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Metal complexes synthesis and properties (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers) and Bacterial Identification and Susceptibility Testing (4 papers). The work is most often cited by research in Virology (160 citations), Clinical Biochemistry (120 citations) and Molecular Medicine (68 citations). Ming Huang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Fred C. Tenover, Vincent C. Bond, Michael D. Powell, C N Baker, Shailendra N. Banerjee, Mahfuz Khan, Andrea Raymond, François Villinger, William Roth and Wendy S. Armstrong. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Visualized Experiments, Journal of Agricultural and Food Chemistry, Journal of Pharmaceutical Sciences and International Journal of Environmental Research and Public Health.
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.