Jing Chen
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
-
- Air Quality and Health Impacts
Papers in
- Epidemiology 74
- Hepatitis B Virus Studies 34
- Liver Disease Diagnosis and Treatment 17
- Oncology 52
- Co-authors
- Shaojian Wang (4 shared papers)Chunshan Zhou (4 shared papers)Ling Chen (1 shared paper)Yan Zhao (1 shared paper)Yalei Jin (1 shared paper)Yuwei Liu (1 shared paper)Haoxiang Wang (1 shared paper)Li Peng (1 shared paper)
- Journals
- PLoS ONE (10 papers)Medicine (7 papers)The Science of The Total Environment (5 papers)Frontiers in Microbiology (5 papers)Scientific Reports (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jing Chen
358 papers receiving 7.7k citations
Jing Chen's Hit Papers
Peers
Comparison fields: 5 of 193
- Infectious Diseases 1.7k
- Health, Toxicology and Mutagenesis 872
- Hepatology 427
- Neurology 514
- Epidemiology 1.1k
Countries citing papers authored by Jing Chen
This map shows the geographic impact of Jing 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 Jing Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Chen more than expected).
Fields of papers citing papers by Jing Chen
This network shows the impact of papers produced by Jing 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 Jing Chen. The network helps show where Jing Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing 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 387 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Neutrophil-to-lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19 Hit paper breakdown → | 2020 | 710 |
| 2 | Molecular Mechanism for Antibody-Dependent Enhancement of Coronavirus Entry Hit paper breakdown → | 2019 | 468 |
| 3 | 2020 | 268 | |
| 4 | 2017 | 212 | |
| 5 | 2009 | 197 | |
| 6 | 2018 | 176 | |
| 7 | 2005 | 168 | |
| 8 | 2016 | 132 | |
| 9 | 2014 | 127 | |
| 10 | 2016 | 126 | |
| 11 | 2004 | 109 | |
| 12 | 2017 | 106 | |
| 13 | 2010 | 102 | |
| 14 | 2014 | 84 | |
| 15 | 2008 | 81 | |
| 16 | 2017 | 78 | |
| 17 | 2019 | 78 | |
| 18 | 2021 | 74 | |
| 19 | 2018 | 74 | |
| 20 | 2017 | 70 |
About Jing Chen
Jing Chen is a scholar working on Epidemiology, Oncology, Infectious Diseases, Physiology and Molecular Biology, having authored 387 papers that have together received 7.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (34 papers), Air Quality and Health Impacts (26 papers), SARS-CoV-2 and COVID-19 Research (21 papers), Liver Disease Diagnosis and Treatment (17 papers), Hepatitis C virus research (16 papers), Atmospheric chemistry and aerosols (13 papers), Alzheimer's disease research and treatments (11 papers) and Liver physiology and pathology (10 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Health, Toxicology and Mutagenesis (872 citations), Hepatology (427 citations), Neurology (514 citations) and Epidemiology (1.1k citations). Jing Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shaojian Wang, Chunshan Zhou, Ling Chen, Yan Zhao, Yalei Jin, Yuwei Liu, Haoxiang Wang, Li Peng, Mingqi Luo and Shijie Li. Their work appears in journals such as PLoS ONE, Medicine, The Science of The Total Environment, Frontiers in Microbiology and Scientific Reports.
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.