Ming Du

2.2k citations
32 papers · 1.6k · h-index 16

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Cystic Fibrosis Research Advances
    • Neonatal Respiratory Health Research

Papers in

Ming Du

32 papers receiving 1.6k citations

Peers

Ming Du
Comparison fields: 5 of 98
  • Immunology 435
  • Pulmonary and Respiratory Medicine 443
  • Genetics 131
  • Virology 55
  • Molecular Biology 725
Replace Lap-Ping Chung with:
Lap-Ping Chung United Kingdom
Timothy R. Hercus Australia
Xia Zhang China
Yan Fan United States
Jian-Yun Dong United States
Joan M. G. Sechler United States
Yuji Takeda Japan
Yu Nee Lee United States
David L. Haviland United States
Yael G. Alevy United States
Ming Du relative to Lap-Ping Chung United Kingdom Lap-Ping Chung's profile →
Citations per field
00.5×
Lap-Ping Chung · 1×
Citations per year

Countries citing papers authored by Ming Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ming Du Line = papers co-authored together Ming Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009406
2 2008205
3 2002143
4 2004137
5 2014122
6 2013120
7 200564
8 201663
9 200658
10 200849
11 201342
12 200938
13 200536
14 201124
15 202222
16 202215
17 202414
18 202212
19 201711
20 202210

About Ming Du

Ming Du is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Immunology and Genetics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (7 papers), Immune Cell Function and Interaction (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Immunology (435 citations), Pulmonary and Respiratory Medicine (443 citations), Genetics (131 citations), Virology (55 citations) and Molecular Biology (725 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, Ellen Welch, Stuart W. Peltz, Samit Hirawat, Eric J. Sorscher and Lin Gao. Their work appears in journals such as Journal of Molecular Medicine, Molecular Genetics and Metabolism, Genes, American Journal of Respiratory and Critical Care Medicine 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.

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