Zhongbin Chen
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- Viral gastroenteritis research and epidemiology
- COVID-19 Clinical Research Studies
- Animal Science and Zoology top 1%
- Animal Virus Infections Studies
Papers in
- Immunology 14
- interferon and immune responses 14
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- RNA Interference and Gene Delivery 5
- Co-authors
- Susan C. Baker (10 shared papers)Yaling Xing (10 shared papers)Kiira Ratia (4 shared papers)Andrew D. Mesecar (4 shared papers)Naina Barretto (3 shared papers)Dalia Jukneliene (3 shared papers)Kui Li (5 shared papers)Xiaojuan Chen (7 shared papers)
- Journals
- Journal of Virology (5 papers)Protein & Cell (2 papers)BioMed Research International (2 papers)PLoS ONE (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Zhongbin Chen
38 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 1.3k
- Animal Science and Zoology 537
- Immunology 964
- Computational Theory and Mathematics 234
- Molecular Biology 807
Countries citing papers authored by Zhongbin Chen
This map shows the geographic impact of Zhongbin 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 Zhongbin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongbin Chen more than expected).
Fields of papers citing papers by Zhongbin Chen
This network shows the impact of papers produced by Zhongbin 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 Zhongbin Chen. The network helps show where Zhongbin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhongbin 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 433 | |
| 2 | 2007 | 317 | |
| 3 | 2010 | 257 | |
| 4 | 2012 | 229 | |
| 5 | 2014 | 222 | |
| 6 | 2011 | 168 | |
| 7 | 2013 | 142 | |
| 8 | 2013 | 128 | |
| 9 | 2014 | 110 | |
| 10 | 2014 | 100 | |
| 11 | 2007 | 85 | |
| 12 | 2007 | 82 | |
| 13 | 2008 | 78 | |
| 14 | 2016 | 42 | |
| 15 | 2013 | 39 | |
| 16 | 2017 | 36 | |
| 17 | 2006 | 28 | |
| 18 | 2018 | 20 | |
| 19 | 2013 | 14 | |
| 20 | 2013 | 11 |
About Zhongbin Chen
Zhongbin Chen is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Genetics and Epidemiology, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include interferon and immune responses (14 papers), Virus-based gene therapy research (6 papers), RNA Interference and Gene Delivery (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Animal Virus Infections Studies (3 papers), Viral Infections and Vectors (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Animal Science and Zoology (537 citations), Immunology (964 citations), Computational Theory and Mathematics (234 citations) and Molecular Biology (807 citations). Zhongbin Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Susan C. Baker, Yaling Xing, Kiira Ratia, Andrew D. Mesecar, Naina Barretto, Dalia Jukneliene, Kui Li, Xiaojuan Chen, Xingxing Yang and Jian Tu. Their work appears in journals such as Journal of Virology, Protein & Cell, BioMed Research International, PLoS ONE and Journal of Biological Chemistry.
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.