Hanbing Wang
Impact in
- Molecular Medicine top 10%
- Curcumin's Biomedical Applications
Papers in
- Physiology 15
- Pain Mechanisms and Treatments 12
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- Neuroscience and Neuropharmacology Research 4
- Hereditary Neurological Disorders 2
- Co-authors
- Chengxiang Yang (8 shared papers)Weicheng Zhao (9 shared papers)Meijuan Liao (5 shared papers)Hua Liang (6 shared papers)Jian He (9 shared papers)Wenxuan Zhang (2 shared papers)Bin Zhang (1 shared paper)Baorui Liu (2 shared papers)
In The Last Decade
Hanbing Wang
38 papers receiving 668 citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 48
- Metals and Alloys 19
- Physiology 141
- Developmental Neuroscience 22
- Pharmacology 36
Countries citing papers authored by Hanbing Wang
This map shows the geographic impact of Hanbing 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 Hanbing Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbing Wang more than expected).
Fields of papers citing papers by Hanbing Wang
This network shows the impact of papers produced by Hanbing 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 Hanbing Wang. The network helps show where Hanbing Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanbing 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 96 | |
| 2 | 2013 | 65 | |
| 3 | 2020 | 61 | |
| 4 | 2017 | 55 | |
| 5 | 2023 | 44 | |
| 6 | 2022 | 40 | |
| 7 | 2017 | 31 | |
| 8 | 2023 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2017 | 22 | |
| 13 | 2016 | 22 | |
| 14 | 2023 | 19 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2015 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2019 | 11 |
About Hanbing Wang
Hanbing Wang is a scholar working on Physiology, Cellular and Molecular Neuroscience, Neurology, Organic Chemistry and Oncology, having authored 42 papers that have together received 681 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (12 papers), Botulinum Toxin and Related Neurological Disorders (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Nanomaterials for catalytic reactions (3 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer Treatment and Pharmacology (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Molecular Medicine (48 citations), Metals and Alloys (19 citations), Physiology (141 citations), Developmental Neuroscience (22 citations) and Pharmacology (36 citations). Hanbing Wang has collaborated with scholars based in China, Taiwan and Thailand. Frequent co-authors include Chengxiang Yang, Weicheng Zhao, Meijuan Liao, Hua Liang, Jian He, Wenxuan Zhang, Bin Zhang, Baorui Liu, Jia Wei and Qingming Xiong. Their work appears in journals such as International Journal of Biological Macromolecules, ACS Chemical Neuroscience, Carbohydrate Polymers, Biomedicine & Pharmacotherapy and Macromolecular Materials and Engineering.
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.