Di Ming
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Microbiology top 10%
- Antimicrobial Peptides and Activities
Papers in
-
- Antibiotic Resistance in Bacteria 4
-
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Bangbang Li (4 shared papers)Tiedong Wang (4 shared papers)Xiaoyun Dong (3 shared papers)Donald T. Moir (6 shared papers)Terry L. Bowlin (5 shared papers)Xiaobo Zhong (3 shared papers)Ling Zhong (3 shared papers)Dan Mu (3 shared papers)
- Journals
- SLAS DISCOVERY (2 papers)Frontiers in Microbiology (1 paper)Phytopathology (1 paper)Applied Microbiology and Biotechnology (1 paper)Journal of Microbiological Methods (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Di Ming
14 papers receiving 506 citations
Peers
Comparison fields: 5 of 79
- Molecular Medicine 78
- Microbiology 56
- Endocrinology 26
- Periodontics 21
- Food Science 80
Countries citing papers authored by Di Ming
This map shows the geographic impact of Di Ming'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 Di Ming with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Ming more than expected).
Fields of papers citing papers by Di Ming
This network shows the impact of papers produced by Di Ming. 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 Di Ming. The network helps show where Di Ming may publish in the future.
Co-authors
The 25 scholars most cited alongside Di Ming, 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 | 2017 | 135 | |
| 2 | 2017 | 103 | |
| 3 | 2012 | 62 | |
| 4 | A Report on the Third Revision of Combined Raven's Test(CRT-C3) for Children in China | 2007 | 41 |
| 5 | 2015 | 36 | |
| 6 | 2007 | 34 | |
| 7 | 1991 | 27 | |
| 8 | 2017 | 27 | |
| 9 | 2011 | 19 | |
| 10 | 2008 | 11 | |
| 11 | 2018 | 10 | |
| 12 | 2013 | 10 | |
| 13 | 2010 | 3 | |
| 14 | 2022 | 3 | |
| 15 | Feedback Number of Generalized Kautz Digraphs GK(2, n). | 2014 | 0 |
About Di Ming
Di Ming is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 15 papers that have together received 521 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (4 papers), Burkholderia infections and melioidosis (2 papers), Biochemical and Structural Characterization (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Cancer therapeutics and mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper) and Insect symbiosis and bacterial influences (1 paper). The work is most often cited by research in Molecular Medicine (78 citations), Microbiology (56 citations), Endocrinology (26 citations), Periodontics (21 citations) and Food Science (80 citations). Di Ming has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bangbang Li, Tiedong Wang, Xiaoyun Dong, Donald T. Moir, Terry L. Bowlin, Xiaobo Zhong, Ling Zhong, Dan Mu, Hua Xiang and Dacheng Wang. Their work appears in journals such as SLAS DISCOVERY, Frontiers in Microbiology, Phytopathology, Applied Microbiology and Biotechnology and Journal of Microbiological Methods.
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.