Hong Wang
- Immunology top 0.5%
- Immune cells in cancer 31
- Atherosclerosis and Cardiovascular Diseases 24
- Immune Cell Function and Interaction 18
- Immune responses and vaccinations 16
- T-cell and B-cell Immunology 13
- Rheumatology top 0.5%
- Folate and B Vitamins Research 30
- Systemic Lupus Erythematosus Research 11
- Biochemistry top 0.5%
- Molecular Biology top 1%
- Inflammasome and immune disorders 16
- Cancer Research top 2%
- Co-authors
- Xiaofeng YangXiaohua JiangLixiao ZhangYing ShaoJiyeon YangWilliam Y. YangXinyuan LiWilliam Durante
- Cited by
- ImmunologyRheumatologyBiochemistry
- Journals
- Redox Biology (16 papers)Frontiers in Immunology (14 papers)Arteriosclerosis Thrombosis and Vascular Biology (12 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Hong Wang
228 papers receiving 9.7k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Immunology 2.9k
- Rheumatology 1.7k
- Biochemistry 752
- Molecular Biology 4.0k
- Cancer Research 784
Countries citing papers authored by Hong Wang
This map shows the geographic impact of Hong 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 Hong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Wang more than expected).
Fields of papers citing papers by Hong Wang
This network shows the impact of papers produced by Hong 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 Hong Wang. The network helps show where Hong Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hong 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | Metabolic regulation of myeloid-derived suppressor cells in tumor immune microenvironment: targets and therapeutic strategiesbreakdown → | 2025 | 31 |
| 5 | 2024 | 7 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 10 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 17 | |
| 10 | 2023 | 26 | |
| 11 | 2023 | 14 | |
| 12 | 2023 | 21 | |
| 13 | 2022 | 7 | |
| 14 | 2022 | 3 | |
| 15 | 2022 | 80 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 91 | |
| 18 | 2020 | 16 | |
| 19 | 2017 | 44 | |
| 20 | [Relationship of sub-health status to social support and coping styles of left-behind middle school students in a reservoir area of Chongqing]. | 2014 | 1 |
About Hong Wang
Hong Wang is a scholar working on Immunology, Rheumatology and Biological Psychiatry, having authored 236 papers that have together received 9.8k indexed citations. Recurring topics across this work include Immune cells in cancer (31 papers), Folate and B Vitamins Research (30 papers), Atherosclerosis and Cardiovascular Diseases (24 papers), Immune Cell Function and Interaction (18 papers), Immune responses and vaccinations (16 papers), Inflammasome and immune disorders (16 papers), T-cell and B-cell Immunology (13 papers) and Systemic Lupus Erythematosus Research (11 papers). The work is most often cited by research in Immunology (2.9k citations), Rheumatology (1.7k citations) and Biochemistry (752 citations). Hong Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Xiaofeng Yang, Xiaohua Jiang, Lixiao Zhang, Xiaofeng Yang, Ying Shao, Jiyeon Yang, William Y. Yang, Xinyuan Li, William Durante and Yu Sun. Their work appears in journals such as Redox Biology, Frontiers in Immunology, Arteriosclerosis Thrombosis and Vascular Biology, Journal of Biological Chemistry and Journal of Hematology & Oncology.
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.