Chen Dong
Impact in
- Infectious Diseases top 1%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 2%
- Long-Term Effects of COVID-19
Papers in
-
- Peroxisome Proliferator-Activated Receptors 7
- RNA Research and Splicing 5
- Epidemiology 27
- Liver Disease Diagnosis and Treatment 12
- Hepatitis B Virus Studies 9
- Co-authors
- Qifa Song (2 shared papers)Liang Hong (1 shared paper)Junhua Wu (1 shared paper)Haiyan Qiu (1 shared paper)Qingsong Hu (5 shared papers)Guanghui Wang (5 shared papers)Feng Gao (3 shared papers)Zhirong Guo (11 shared papers)
- Journals
- Scientific Reports (3 papers)PLoS ONE (3 papers)Acta Pharmacologica Sinica (2 papers)Molecular Genetics and Genomics (2 papers)Vaccine (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Chen Dong
73 papers receiving 2.6k citations
Chen Dong's Hit Papers
Peers
Comparison fields: 5 of 135
- Infectious Diseases 1.1k
- Neurology 488
- Obstetrics and Gynecology 246
- Modeling and Simulation 92
- Epidemiology 676
Countries citing papers authored by Chen Dong
This map shows the geographic impact of Chen Dong'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 Chen Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Dong more than expected).
Fields of papers citing papers by Chen Dong
This network shows the impact of papers produced by Chen Dong. 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 Chen Dong. The network helps show where Chen Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Dong, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study Hit paper breakdown → | 2020 | 863 |
| 2 | 2020 | 197 | |
| 3 | 2015 | 187 | |
| 4 | 2015 | 148 | |
| 5 | 2013 | 99 | |
| 6 | 2020 | 92 | |
| 7 | 2019 | 86 | |
| 8 | 2003 | 83 | |
| 9 | 2020 | 72 | |
| 10 | 2017 | 53 | |
| 11 | 2017 | 49 | |
| 12 | 2013 | 47 | |
| 13 | 2014 | 40 | |
| 14 | 2016 | 40 | |
| 15 | 2015 | 32 | |
| 16 | 2018 | 31 | |
| 17 | 2015 | 28 | |
| 18 | 2012 | 27 | |
| 19 | 2015 | 27 | |
| 20 | 2020 | 26 |
About Chen Dong
Chen Dong is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 76 papers that have together received 2.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), COVID-19 Clinical Research Studies (12 papers), Hepatitis B Virus Studies (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Hepatitis C virus research (7 papers), Long-Term Effects of COVID-19 (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Neurology (488 citations), Obstetrics and Gynecology (246 citations), Modeling and Simulation (92 citations) and Epidemiology (676 citations). Chen Dong has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qifa Song, Liang Hong, Junhua Wu, Haiyan Qiu, Qingsong Hu, Guanghui Wang, Feng Gao, Zhirong Guo, Jing Qiu and Zheng‐Hong Qin. Their work appears in journals such as Scientific Reports, PLoS ONE, Acta Pharmacologica Sinica, Molecular Genetics and Genomics and Vaccine.
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.