Weiwei Chen
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Virology top 10%
Papers in
- Immunology 38
- Immune Cell Function and Interaction 13
- Immune cells in cancer 9
- Psoriasis: Treatment and Pathogenesis 7
- Immune Response and Inflammation 7
- T-cell and B-cell Immunology 7
- Immunotherapy and Immune Responses 6
- IL-33, ST2, and ILC Pathways 6
- Virology 2
- Co-authors
- Zheng ZhangShu‐Ching HsuYu‐Chia SuTsung‐Hsien ChuangLi–Rung HuangYu‐Wen SuFu‐Sheng WangLingyun Sun
- Journals
- Frontiers in Immunology (4 papers)Stem Cell Research & Therapy (2 papers)International Immunopharmacology (2 papers)Comparative Biochemistry and Physiology Part D Genomics and Proteomics (1 paper)Acta Pharmaceutica Sinica B (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Weiwei Chen
38 papers receiving 882 citations
Peers
Comparison fields: 5 of 97
- Immunology 558
- Virology 36
- Cancer Research 102
- Genetics 68
- Hepatology 48
Countries citing papers authored by Weiwei Chen
This map shows the geographic impact of Weiwei 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 Weiwei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Chen more than expected).
Fields of papers citing papers by Weiwei Chen
This network shows the impact of papers produced by Weiwei 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 Weiwei Chen. The network helps show where Weiwei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiwei 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2021 | 33 | |
| 10 | 2020 | 29 | |
| 11 | 2019 | 10 | |
| 12 | 2019 | 4 | |
| 13 | 2019 | 95 | |
| 14 | 2018 | 63 | |
| 15 | 2018 | 21 | |
| 16 | 2018 | 6 | |
| 17 | 2015 | 69 | |
| 18 | 2013 | 2 | |
| 19 | 2011 | 7 | |
| 20 | 2008 | 12 |
About Weiwei Chen
Weiwei Chen is a scholar working on Immunology, Virology, Dermatology, Behavioral Neuroscience and Oncology, having authored 45 papers that have together received 890 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Immune cells in cancer (9 papers), Psoriasis: Treatment and Pathogenesis (7 papers), Immune Response and Inflammation (7 papers), T-cell and B-cell Immunology (7 papers), Immunotherapy and Immune Responses (6 papers), IL-33, ST2, and ILC Pathways (6 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Immunology (558 citations), Virology (36 citations), Cancer Research (102 citations), Genetics (68 citations) and Hepatology (48 citations). Weiwei Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zheng Zhang, Shu‐Ching Hsu, Yu‐Chia Su, Tsung‐Hsien Chuang, Li–Rung Huang, Yu‐Wen Su, Fu‐Sheng Wang, Lingyun Sun, Xiaojun Tang and Ming Shi. Their work appears in journals such as Frontiers in Immunology, Stem Cell Research & Therapy, International Immunopharmacology, Comparative Biochemistry and Physiology Part D Genomics and Proteomics and Acta Pharmaceutica Sinica B.
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.