Dingqiang Chen
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
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- Antibiotic Resistance in Bacteria 36
-
- Vibrio bacteria research studies 8
- Co-authors
- Zhenbo Xu (39 shared papers)Bing Li (14 shared papers)Junyan Liu (21 shared papers)Lin Li (9 shared papers)Brian M. Peters (17 shared papers)Yang Deng (7 shared papers)Ling Yang (34 shared papers)Jian Miao (7 shared papers)
- Journals
- Microbial Pathogenesis (20 papers)Microbial Drug Resistance (8 papers)Antibiotics (5 papers)Frontiers in Microbiology (3 papers)Infection Genetics and Evolution (3 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Dingqiang Chen
90 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 128
- Molecular Medicine 625
- Endocrinology 402
- Applied Microbiology and Biotechnology 69
- Clinical Biochemistry 224
- Infectious Diseases 496
Countries citing papers authored by Dingqiang Chen
This map shows the geographic impact of Dingqiang Chen'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 Dingqiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingqiang Chen more than expected).
Fields of papers citing papers by Dingqiang Chen
This network shows the impact of papers produced by Dingqiang Chen. 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 Dingqiang Chen. The network helps show where Dingqiang Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingqiang Chen, 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 312 | |
| 2 | 2016 | 246 | |
| 3 | 2016 | 234 | |
| 4 | 2016 | 123 | |
| 5 | 2021 | 110 | |
| 6 | 2017 | 95 | |
| 7 | 2017 | 68 | |
| 8 | 2014 | 66 | |
| 9 | 2021 | 58 | |
| 10 | 2016 | 57 | |
| 11 | 2020 | 57 | |
| 12 | 2016 | 54 | |
| 13 | 2018 | 53 | |
| 14 | 2017 | 50 | |
| 15 | 2017 | 46 | |
| 16 | 2010 | 44 | |
| 17 | 2017 | 41 | |
| 18 | 2014 | 38 | |
| 19 | 2009 | 36 | |
| 20 | 2017 | 29 |
About Dingqiang Chen
Dingqiang Chen is a scholar working on Molecular Medicine, Endocrinology, Infectious Diseases, Clinical Biochemistry and Molecular Biology, having authored 94 papers that have together received 2.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (36 papers), Bacterial biofilms and quorum sensing (21 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Bacterial Identification and Susceptibility Testing (12 papers), Bacteriophages and microbial interactions (10 papers), Vibrio bacteria research studies (8 papers), Genomics and Phylogenetic Studies (7 papers) and Biosensors and Analytical Detection (6 papers). The work is most often cited by research in Molecular Medicine (625 citations), Endocrinology (402 citations), Applied Microbiology and Biotechnology (69 citations), Clinical Biochemistry (224 citations) and Infectious Diseases (496 citations). Dingqiang Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Zhenbo Xu, Bing Li, Junyan Liu, Lin Li, Brian M. Peters, Yang Deng, Ling Yang, Jian Miao, Mark E. Shirtliff and Guangchao Yu. Their work appears in journals such as Microbial Pathogenesis, Microbial Drug Resistance, Antibiotics, Frontiers in Microbiology and Infection Genetics and Evolution.
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.