Chenguang Wang
- Immunology top 1%
- interferon and immune responses 8
- Immune Response and Inflammation 2
- Infectious Diseases top 5%
- Viral Infections and Vectors 5
- Biomaterials top 5%
- Biomedical Engineering top 5%
- Molecular Biology top 10%
- Inflammasome and immune disorders 2
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- Topic Modeling 2
- Advanced Graph Neural Networks 2
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- Functional Brain Connectivity Studies 2
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- Data Quality and Management 2
- Co-authors
- Zhengfan JiangMengze LvXiaoming WeiYukun GuanRui ZhangYi WanMiao JingXiaoxia Du
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Chenguang Wang
21 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology 1.6k
- Infectious Diseases 514
- Biomaterials 241
- Biomedical Engineering 723
- Molecular Biology 1000
Countries citing papers authored by Chenguang Wang
This map shows the geographic impact of Chenguang Wang'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 Chenguang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenguang Wang more than expected).
Fields of papers citing papers by Chenguang Wang
This network shows the impact of papers produced by Chenguang Wang. 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 Chenguang Wang. The network helps show where Chenguang Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chenguang Wang, 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 | 2024 | 3 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 8 | |
| 5 | 2022 | 3 | |
| 6 | Manganese salts function as potent adjuvantsbreakdown → | 2021 | 218 |
| 7 | 2020 | 2 | |
| 8 | Manganese is critical for antitumor immune responses via cGAS-STING and improves the efficacy of clinical immunotherapybreakdown → | 2020 | 719 |
| 9 | 2020 | 2 | |
| 10 | 2019 | 229 | |
| 11 | Manganese Increases the Sensitivity of the cGAS-STING Pathway for Double-Stranded DNA and Is Required for the Host Defense against DNA Virusesbreakdown → | 2018 | 614 |
| 12 | STING directly activates autophagy to tune the innate immune responsebreakdown → | 2018 | 307 |
| 13 | 2018 | 18 | |
| 14 | 2017 | 159 | |
| 15 | 2017 | 180 | |
| 16 | 2016 | 1 | |
| 17 | 2015 | 32 | |
| 18 | Constrained information-theoretic tripartite graph clustering to identify semantically similar relations | 2015 | 4 |
| 19 | 2015 | 34 | |
| 20 | 2009 | 96 |
About Chenguang Wang
Chenguang Wang is a scholar working on Immunology, Infectious Diseases and Orthodontics, having authored 21 papers that have together received 2.7k indexed citations. Recurring topics across this work include interferon and immune responses (8 papers), Viral Infections and Vectors (5 papers), Topic Modeling (2 papers), Inflammasome and immune disorders (2 papers), Immune Response and Inflammation (2 papers), Functional Brain Connectivity Studies (2 papers), Data Quality and Management (2 papers) and Advanced Graph Neural Networks (2 papers). The work is most often cited by research in Immunology (1.6k citations), Infectious Diseases (514 citations) and Biomaterials (241 citations). Chenguang Wang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Zhengfan Jiang, Mengze Lv, Xiaoming Wei, Yukun Guan, Rui Zhang, Yi Wan, Miao Jing, Xiaoxia Du, Xiao‐Dong Su and Zhaoying Guo.
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.