Ming Du
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Cystic Fibrosis Research Advances
- Neonatal Respiratory Health Research
Papers in
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- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 3
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- Cystic Fibrosis Research Advances 7
- Co-authors
- Allan Zajac (2 shared papers)John S. Yi (1 shared paper)David M. Bedwell (13 shared papers)Kim M. Keeling (10 shared papers)Xiaoli Liu (3 shared papers)Samit Hirawat (1 shared paper)Stuart W. Peltz (1 shared paper)Ellen Welch (1 shared paper)
- Journals
- Journal of Molecular Medicine (3 papers)Molecular Genetics and Metabolism (2 papers)Genes (2 papers)Nature Communications (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Ming Du
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 95
- Immunology 402
- Pulmonary and Respiratory Medicine 425
- Virology 52
- Genetics 106
- Molecular Biology 701
Countries citing papers authored by Ming Du
This map shows the geographic impact of Ming Du'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 Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Du more than expected).
Fields of papers citing papers by Ming Du
This network shows the impact of papers produced by Ming Du. 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 Du. The network helps show where Ming Du may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Du, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 404 | |
| 2 | 2008 | 205 | |
| 3 | 2002 | 143 | |
| 4 | 2004 | 139 | |
| 5 | 2014 | 125 | |
| 6 | 2013 | 122 | |
| 7 | 2005 | 64 | |
| 8 | 2016 | 63 | |
| 9 | 2006 | 58 | |
| 10 | 2008 | 49 | |
| 11 | 2013 | 42 | |
| 12 | 2009 | 38 | |
| 13 | 2005 | 36 | |
| 14 | 2022 | 24 | |
| 15 | 2011 | 23 | |
| 16 | 2022 | 17 | |
| 17 | 2024 | 15 | |
| 18 | 2022 | 15 | |
| 19 | 2017 | 12 | |
| 20 | 2022 | 10 |
About Ming Du
Ming Du is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Genetics and Genetics, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (7 papers), Advanced biosensing and bioanalysis techniques (3 papers), Immune Cell Function and Interaction (3 papers), RNA and protein synthesis mechanisms (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Genomics and Phylogenetic Studies (3 papers), Bacterial Genetics and Biotechnology (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Immunology (402 citations), Pulmonary and Respiratory Medicine (425 citations), Virology (52 citations), Genetics (106 citations) and Molecular Biology (701 citations). Ming Du has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Allan Zajac, John S. Yi, David M. Bedwell, Kim M. Keeling, Xiaoli Liu, Samit Hirawat, Stuart W. Peltz, Ellen Welch, Eric J. Sorscher and Lin Gao. Their work appears in journals such as Journal of Molecular Medicine, Molecular Genetics and Metabolism, Genes, Nature Communications and British Journal of Haematology.
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.