Hongxia Wang
Impact in
-
- CAR-T cell therapy research
- Pancreatic and Hepatic Oncology Research
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- MicroRNA in disease regulation
Papers in
- Oncology 11
- CAR-T cell therapy research 3
- Cancer Cells and Metastasis 2
- Co-authors
- Yanning Li (3 shared papers)Dan Jiang (4 shared papers)Guangqi Li (3 shared papers)Feng Gu (1 shared paper)Chao Zhang (1 shared paper)Quan Chen (1 shared paper)Jun Zhou (1 shared paper)Guangxian Xu (4 shared papers)
- Journals
- OncoTargets and Therapy (2 papers)BMC Psychiatry (2 papers)Biochemical and Biophysical Research Communications (1 paper)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (1 paper)The ISME Journal (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Hongxia Wang
41 papers receiving 351 citations
Peers
Comparison fields: 5 of 97
- Oncology 97
- Cancer Research 47
- Neuropsychology and Physiological Psychology 4
- Molecular Biology 145
- Immunology 42
Countries citing papers authored by Hongxia Wang
This map shows the geographic impact of Hongxia 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 Hongxia Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxia Wang more than expected).
Fields of papers citing papers by Hongxia Wang
This network shows the impact of papers produced by Hongxia 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 Hongxia Wang. The network helps show where Hongxia Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hongxia 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 48 | |
| 2 | 2021 | 22 | |
| 3 | 2014 | 20 | |
| 4 | 2012 | 18 | |
| 5 | 2020 | 18 | |
| 6 | 2011 | 18 | |
| 7 | 2024 | 18 | |
| 8 | 2015 | 16 | |
| 9 | 2020 | 15 | |
| 10 | 2024 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2023 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2008 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2025 | 9 | |
| 18 | 2021 | 9 | |
| 19 | 2022 | 8 | |
| 20 | 2022 | 7 |
About Hongxia Wang
Hongxia Wang is a scholar working on Molecular Biology, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Immunology, having authored 43 papers that have together received 356 indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Acute Ischemic Stroke Management (3 papers), CAR-T cell therapy research (3 papers), Cancer-related molecular mechanisms research (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (97 citations), Cancer Research (47 citations), Neuropsychology and Physiological Psychology (4 citations), Molecular Biology (145 citations) and Immunology (42 citations). Hongxia Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yanning Li, Dan Jiang, Guangqi Li, Feng Gu, Chao Zhang, Quan Chen, Jun Zhou, Guangxian Xu, Bingbing Liu and Yunlong Xia. Their work appears in journals such as OncoTargets and Therapy, BMC Psychiatry, Biochemical and Biophysical Research Communications, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and The ISME Journal.
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.