Dingbin Chen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- SARS-CoV-2 detection and testing
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- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 6
- COVID-19 Clinical Research Studies 4
-
- Microbial Applications in Construction Materials 2
- Co-authors
- Shunpeng Li (3 shared papers)Fan Yang (3 shared papers)Hong-Ming Liu (2 shared papers)Qing Hong (3 shared papers)Rong Zhang (1 shared paper)Xiang Wang (2 shared papers)Peixiang Ma (1 shared paper)Hong Mei (1 shared paper)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)Cell (1 paper)The Journal of Experimental Medicine (1 paper)Emerging Microbes & Infections (1 paper)Journal of Virology (1 paper)
- Partner nations
- ChinaUnited StatesSaudi Arabia
In The Last Decade
Dingbin Chen
11 papers receiving 602 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 451
- Neurology 93
- Modeling and Simulation 25
- Immunology 106
- Animal Science and Zoology 50
Countries citing papers authored by Dingbin Chen
This map shows the geographic impact of Dingbin 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 Dingbin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dingbin Chen more than expected).
Fields of papers citing papers by Dingbin Chen
This network shows the impact of papers produced by Dingbin 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 Dingbin Chen. The network helps show where Dingbin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Dingbin 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 359 | |
| 2 | 2021 | 148 | |
| 3 | 2023 | 25 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2022 | 12 | |
| 7 | 2015 | 11 | |
| 8 | 2013 | 9 | |
| 9 | 2015 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 |
About Dingbin Chen
Dingbin Chen is a scholar working on Infectious Diseases, Environmental Engineering, Genetics, Modeling and Simulation and Molecular Biology, having authored 11 papers that have together received 606 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 Clinical Research Studies (4 papers), Genomics and Phylogenetic Studies (3 papers), Virus-based gene therapy research (3 papers), Microbial Applications in Construction Materials (2 papers), CRISPR and Genetic Engineering (1 paper), COVID-19 epidemiological studies (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Infectious Diseases (451 citations), Neurology (93 citations), Modeling and Simulation (25 citations), Immunology (106 citations) and Animal Science and Zoology (50 citations). Dingbin Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Shunpeng Li, Fan Yang, Hong-Ming Liu, Qing Hong, Rong Zhang, Xiang Wang, Peixiang Ma, Hong Mei, Jia Liu and Donglan Liu. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Cell, The Journal of Experimental Medicine, Emerging Microbes & Infections and Journal of Virology.
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.