Danying Chen
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
Papers in
- Immunology 13
- interferon and immune responses 8
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 2
-
- SARS-CoV-2 and COVID-19 Research 7
- COVID-19 Clinical Research Studies 3
- Co-authors
- Zhonghe Zhai (7 shared papers)Hong‐Bing Shu (5 shared papers)Xuesen Zhao (9 shared papers)Liang‐Guo Xu (3 shared papers)Hui Zeng (6 shared papers)Ju‐Tao Guo (5 shared papers)Mei Zheng (5 shared papers)Hanxin Lin (5 shared papers)
- Journals
- Journal of Virology (4 papers)Emerging Microbes & Infections (3 papers)Frontiers in Immunology (2 papers)Plant Physiology and Biochemistry (2 papers)Vaccines (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Danying Chen
30 papers receiving 878 citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 273
- Immunology 306
- Virology 39
- Animal Science and Zoology 71
- Cancer Research 87
Countries citing papers authored by Danying Chen
This map shows the geographic impact of Danying 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 Danying Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danying Chen more than expected).
Fields of papers citing papers by Danying Chen
This network shows the impact of papers produced by Danying 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 Danying Chen. The network helps show where Danying Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Danying 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2022 | 108 | |
| 3 | 2004 | 101 | |
| 4 | 2012 | 73 | |
| 5 | 2020 | 69 | |
| 6 | 2006 | 68 | |
| 7 | 2021 | 52 | |
| 8 | 2004 | 44 | |
| 9 | 2020 | 39 | |
| 10 | 2015 | 37 | |
| 11 | 2007 | 34 | |
| 12 | 2013 | 33 | |
| 13 | 2019 | 26 | |
| 14 | 2007 | 23 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2017 | 6 | |
| 19 | 2016 | 6 | |
| 20 | 2022 | 5 |
About Danying Chen
Danying Chen is a scholar working on Immunology, Infectious Diseases, Molecular Biology, Cancer Research and Virology, having authored 34 papers that have together received 891 indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), NF-κB Signaling Pathways (5 papers), HIV Research and Treatment (5 papers), Immune Response and Inflammation (4 papers), COVID-19 Clinical Research Studies (3 papers), RNA regulation and disease (3 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Infectious Diseases (273 citations), Immunology (306 citations), Virology (39 citations), Animal Science and Zoology (71 citations) and Cancer Research (87 citations). Danying Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhonghe Zhai, Hong‐Bing Shu, Xuesen Zhao, Liang‐Guo Xu, Hui Zeng, Ju‐Tao Guo, Mei Zheng, Hanxin Lin, Xinglin Li and Shuangli Zheng. Their work appears in journals such as Journal of Virology, Emerging Microbes & Infections, Frontiers in Immunology, Plant Physiology and Biochemistry and Vaccines.
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.