Hai Wang
Impact in
-
- Immunotherapy and Immune Responses
Papers in
-
- Metabolism, Diabetes, and Cancer 2
- Surgery 8
- Cholesterol and Lipid Metabolism 3
- Co-authors
- Xigang Leng (1 shared paper)Jianfa Wang (7 shared papers)Hongfan Sun (1 shared paper)Cunxian Song (1 shared paper)Guilei Ma (1 shared paper)Chao Zhang (1 shared paper)Chun Wang (1 shared paper)Rui Wu (7 shared papers)
- Journals
- Animals (2 papers)Frontiers in Public Health (2 papers)Journal of Dairy Research (2 papers)Chemico-Biological Interactions (1 paper)Frontiers in Veterinary Science (1 paper)
- Partner nations
- ChinaUnited StatesPhilippines
In The Last Decade
Hai Wang
43 papers receiving 571 citations
Peers
Comparison fields: 5 of 93
- Immunology 108
- Nephrology 25
- Cancer Research 47
- Pharmaceutical Science 19
- Molecular Biology 198
Countries citing papers authored by Hai Wang
This map shows the geographic impact of Hai 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 Hai Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Wang more than expected).
Fields of papers citing papers by Hai Wang
This network shows the impact of papers produced by Hai 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 Hai Wang. The network helps show where Hai Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai 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
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2018 | 40 | |
| 3 | Increasing the cytotoxicity of doxorubicin in breast cancer MCF-7 cells with multidrug resistance using a mesoporous silica nanoparticle drug delivery system. | 2014 | 39 |
| 4 | 2018 | 37 | |
| 5 | 2020 | 36 | |
| 6 | 2009 | 33 | |
| 7 | 2018 | 32 | |
| 8 | 2007 | 30 | |
| 9 | 2021 | 29 | |
| 10 | 2020 | 27 | |
| 11 | 2010 | 17 | |
| 12 | 2015 | 15 | |
| 13 | 2023 | 14 | |
| 14 | Genetically reprogrammed, liver-derived insulin-producing cells are glucose-responsive, but susceptible to autoimmune destruction in settings of murine model of type 1 diabetes. | 2013 | 14 |
| 15 | 2017 | 11 | |
| 16 | 2016 | 10 | |
| 17 | 2019 | 9 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2022 | 7 |
About Hai Wang
Hai Wang is a scholar working on Molecular Biology, Surgery, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 44 papers that have together received 572 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers), Biochemical effects in animals (3 papers), Immune Response and Inflammation (3 papers), Immune Cell Function and Interaction (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (108 citations), Nephrology (25 citations), Cancer Research (47 citations), Pharmaceutical Science (19 citations) and Molecular Biology (198 citations). Hai Wang has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Xigang Leng, Jianfa Wang, Hongfan Sun, Cunxian Song, Guilei Ma, Chao Zhang, Chun Wang, Rui Wu, Lanxia Liu and Deling Kong. Their work appears in journals such as Animals, Frontiers in Public Health, Journal of Dairy Research, Chemico-Biological Interactions and Frontiers in Veterinary Science.
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.