Hui Wang
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
- Immune Response and Inflammation
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Immunology 222
- Immune Cell Function and Interaction 70
- Immune Response and Inflammation 41
- interferon and immune responses 40
- Immune cells in cancer 35
- Oncology 129
- Cytokine Signaling Pathways and Interactions 26
- Co-authors
- Andrew D. RowanTim E. CawstonDavid A. YoungJianping YeYong‐Guang YangYunwei LouYuna NiuGary J. Litherland
- Journals
- Frontiers in Immunology (14 papers)Blood (13 papers)PLoS ONE (12 papers)Scientific Reports (10 papers)Biochemical and Biophysical Research Communications (9 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hui Wang
664 papers receiving 15.8k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Immunology 3.7k
- Cancer Research 2.0k
- Virology 594
- Oncology 2.7k
- Molecular Biology 6.7k
Countries citing papers authored by Hui Wang
This map shows the geographic impact of Hui 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 Hui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Wang more than expected).
Fields of papers citing papers by Hui Wang
This network shows the impact of papers produced by Hui 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 Hui Wang. The network helps show where Hui Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hui 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 13 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 48 | |
| 16 | 2023 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2017 | 66 | |
| 19 | 2016 | 9 | |
| 20 | 2014 | 89 |
About Hui Wang
Hui Wang is a scholar working on Immunology, Oncology, Cancer Research, Hematology and Epidemiology, having authored 708 papers that have together received 16.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (70 papers), Immune Response and Inflammation (41 papers), interferon and immune responses (40 papers), Autophagy in Disease and Therapy (39 papers), Immune cells in cancer (35 papers), Ubiquitin and proteasome pathways (30 papers), Cytokine Signaling Pathways and Interactions (26 papers) and Virus-based gene therapy research (24 papers). The work is most often cited by research in Immunology (3.7k citations), Cancer Research (2.0k citations), Virology (594 citations), Oncology (2.7k citations) and Molecular Biology (6.7k citations). Hui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Andrew D. Rowan, Tim E. Cawston, David A. Young, Jianping Ye, Yong‐Guang Yang, Yunwei Lou, Yuna Niu, Gary J. Litherland, Liangwei Duan and Qianqian Zheng. Their work appears in journals such as Frontiers in Immunology, Blood, PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.
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.