Wanjun Chen
- Immunology top 2%
- Immune Cell Function and Interaction 8
- IL-33, ST2, and ILC Pathways 5
- Immune cells in cancer 4
- Periodontics top 2%
- Cancer Research top 5%
- NF-κB Signaling Pathways 5
- Oncology top 5%
- Molecular Biology top 5%
- TGF-β signaling in diseases 7
- Extracellular vesicles in disease 4
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- Collembola Taxonomy and Ecology Studies 4
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- Bioactive Compounds and Antitumor Agents 3
- Co-authors
- Peter ten DijkeYanfei WeiDunfang ZhangYu‐Ning LinSharon M. WahlShimpei KasagiEric TuTiejian Zhao
- Journals
- Immunity (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cytokine & Growth Factor Reviews (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Wanjun Chen
49 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Immunology 1.3k
- Periodontics 194
- Cancer Research 475
- Oncology 637
- Molecular Biology 1.5k
Countries citing papers authored by Wanjun Chen
This map shows the geographic impact of Wanjun 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 Wanjun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Chen more than expected).
Fields of papers citing papers by Wanjun Chen
This network shows the impact of papers produced by Wanjun 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 Wanjun Chen. The network helps show where Wanjun Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wanjun 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 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 34 | |
| 6 | 2021 | 31 | |
| 7 | 2021 | 6 | |
| 8 | 2020 | 11 | |
| 9 | 2019 | 208 | |
| 10 | 2019 | 4 | |
| 11 | 2017 | 53 | |
| 12 | 2017 | 184 | |
| 13 | 2014 | 10 | |
| 14 | 2014 | 115 | |
| 15 | 2013 | 37 | |
| 16 | Research on the Life History of Monochamus alternatus Hope in South Jiangxi | 2013 | 1 |
| 17 | 2012 | 106 | |
| 18 | 2009 | 75 | |
| 19 | 2000 | 64 | |
| 20 | 1999 | 58 |
About Wanjun Chen
Wanjun Chen is a scholar working on Immunology, Toxicology and Biological Psychiatry, having authored 50 papers that have together received 3.5k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), TGF-β signaling in diseases (7 papers), IL-33, ST2, and ILC Pathways (5 papers), NF-κB Signaling Pathways (5 papers), Collembola Taxonomy and Ecology Studies (4 papers), Extracellular vesicles in disease (4 papers), Immune cells in cancer (4 papers) and Bioactive Compounds and Antitumor Agents (3 papers). The work is most often cited by research in Immunology (1.3k citations), Periodontics (194 citations) and Cancer Research (475 citations). Wanjun Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Peter ten Dijke, Yanfei Wei, Dunfang Zhang, Yu‐Ning Lin, Sharon M. Wahl, Shimpei Kasagi, Eric Tu, Tiejian Zhao, Mei Jiang and Wenwen Jin. Their work appears in journals such as Immunity, Proceedings of the National Academy of Sciences, Cytokine & Growth Factor Reviews, Science Translational Medicine and Nature Medicine.
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.