Junbo Chen
Impact in
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- Hepatitis C virus research 5
-
- Hepatitis B Virus Studies 5
- Influenza Virus Research Studies 4
- Co-authors
- Yingle Liu (11 shared papers)Jianguo Wu (10 shared papers)Kailang Wu (5 shared papers)Jingjing Shi (1 shared paper)Hui Wang (1 shared paper)Liu Shi (1 shared paper)Yanni Chen (1 shared paper)Wei Qing Xu (5 shared papers)
- Journals
- Journal of Virology (5 papers)PLoS Pathogens (3 papers)Stem Cells and Development (2 papers)The Lancet Microbe (1 paper)Frontiers in Genetics (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Junbo Chen
47 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 141
- Obstetrics and Gynecology 219
- Infectious Diseases 423
- Hepatology 113
- Cancer Research 186
- Modeling and Simulation 50
Countries citing papers authored by Junbo Chen
This map shows the geographic impact of Junbo 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 Junbo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junbo Chen more than expected).
Fields of papers citing papers by Junbo Chen
This network shows the impact of papers produced by Junbo 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 Junbo Chen. The network helps show where Junbo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Junbo 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 528 | |
| 2 | 2013 | 213 | |
| 3 | Coronavirus Disease 2019 (COVID-19) During Pregnancy: A Case Series | 2020 | 117 |
| 4 | 2020 | 66 | |
| 5 | 2017 | 65 | |
| 6 | 2017 | 32 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 28 | |
| 9 | 2018 | 28 | |
| 10 | 2019 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2015 | 26 | |
| 14 | 2020 | 26 | |
| 15 | 2024 | 25 | |
| 16 | 2020 | 24 | |
| 17 | 2022 | 24 | |
| 18 | 2024 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2024 | 15 |
About Junbo Chen
Junbo Chen is a scholar working on Hepatology, Epidemiology, Cancer Research, Cardiology and Cardiovascular Medicine and Geriatrics and Gerontology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (5 papers), Hepatitis B Virus Studies (5 papers), Hepatitis C virus research (5 papers), Influenza Virus Research Studies (4 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Ferroptosis and cancer prognosis (3 papers) and interferon and immune responses (3 papers). The work is most often cited by research in Obstetrics and Gynecology (219 citations), Infectious Diseases (423 citations), Hepatology (113 citations), Cancer Research (186 citations) and Modeling and Simulation (50 citations). Junbo Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yingle Liu, Jianguo Wu, Kailang Wu, Jingjing Shi, Hui Wang, Liu Shi, Yanni Chen, Wei Qing Xu, Fang Liu and Weiyong Liu. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Stem Cells and Development, The Lancet Microbe and Frontiers in Genetics.
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.