Taoyong Chen
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- interferon and immune responses
- T-cell and B-cell Immunology
- Immune cells in cancer
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
- Immunology 34
- Immunotherapy and Immune Responses 14
- interferon and immune responses 13
- Immune Response and Inflammation 11
- Immune Cell Function and Interaction 7
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- NF-κB Signaling Pathways 6
- Co-authors
- Xuetao CaoMingjin YangJun GuoChaofeng HanNan LiTao WanHuazhang AnXuhui Zhu
- Journals
- Biochemical and Biophysical Research Communications (11 papers)The Journal of Immunology (6 papers)Blood (5 papers)Nature Immunology (4 papers)Clinical Cancer Research (2 papers)
- Partner nations
- ChinaCroatiaUnited States
In The Last Decade
Taoyong Chen
55 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 109
- Immunology 1.7k
- Cancer Research 623
- Molecular Biology 1.8k
- Complementary and alternative medicine 159
- Oncology 507
Countries citing papers authored by Taoyong Chen
This map shows the geographic impact of Taoyong 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 Taoyong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taoyong Chen more than expected).
Fields of papers citing papers by Taoyong Chen
This network shows the impact of papers produced by Taoyong 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 Taoyong Chen. The network helps show where Taoyong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Taoyong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2022 | 36 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 1 | |
| 5 | 2015 | 68 | |
| 6 | 2015 | 35 | |
| 7 | 2015 | 77 | |
| 8 | 2015 | 2 | |
| 9 | 2014 | 46 | |
| 10 | 2010 | 19 | |
| 11 | 2009 | 45 | |
| 12 | 2009 | 192 | |
| 13 | 2006 | 73 | |
| 14 | 2005 | 36 | |
| 15 | 2004 | 56 | |
| 16 | 2004 | 316 | |
| 17 | 2003 | 48 | |
| 18 | 2003 | 41 | |
| 19 | 2001 | 63 | |
| 20 | 2000 | 90 |
About Taoyong Chen
Taoyong Chen is a scholar working on Immunology, Cancer Research, Cell Biology, Complementary and alternative medicine and Molecular Biology, having authored 55 papers that have together received 3.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), interferon and immune responses (13 papers), Immune Response and Inflammation (11 papers), Immune Cell Function and Interaction (7 papers), NF-κB Signaling Pathways (6 papers), Cellular transport and secretion (5 papers), Viral Infections and Vectors (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Immunology (1.7k citations), Cancer Research (623 citations), Molecular Biology (1.8k citations), Complementary and alternative medicine (159 citations) and Oncology (507 citations). Taoyong Chen has collaborated with scholars based in China, Croatia and United States. Frequent co-authors include Xuetao Cao, Mingjin Yang, Jun Guo, Chaofeng Han, Nan Li, Tao Wan, Huazhang An, Xuhui Zhu, Qiuyan Liu and Jianli Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Journal of Immunology, Blood, Nature Immunology and Clinical Cancer Research.
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.