Wang Wang
Impact in
- Biological Psychiatry top 10%
- Behavioral Neuroscience top 10%
Papers in
-
- Electrospun Nanofibers in Biomedical Applications 6
-
- Sulfur-Based Synthesis Techniques 5
- Catalytic C–H Functionalization Methods 4
- Co-authors
- Hualong Bai (13 shared papers)M. Kevin Brown (3 shared papers)Peng Sun (12 shared papers)Shunbo Wei (11 shared papers)Ying Xing (4 shared papers)Wang Wang (1 shared paper)Weizhen Liu (4 shared papers)Dejuan Sun (7 shared papers)
- Journals
- ACS Omega (2 papers)Aging (2 papers)Journal of Biomedical Materials Research Part B Applied Biomaterials (2 papers)Molecular Neurobiology (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaUnited StatesNew Zealand
In The Last Decade
Wang Wang
41 papers receiving 780 citations
Peers
Comparison fields: 5 of 91
- Biological Psychiatry 39
- Behavioral Neuroscience 38
- Organic Chemistry 285
- Biomaterials 107
- Inorganic Chemistry 50
Countries citing papers authored by Wang Wang
This map shows the geographic impact of Wang 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 Wang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Wang more than expected).
Fields of papers citing papers by Wang Wang
This network shows the impact of papers produced by Wang 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 Wang Wang. The network helps show where Wang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang 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 | 2019 | 86 | |
| 2 | 2020 | 80 | |
| 3 | 2023 | 55 | |
| 4 | 2022 | 48 | |
| 5 | 2022 | 47 | |
| 6 | 2022 | 45 | |
| 7 | 2023 | 41 | |
| 8 | 2021 | 40 | |
| 9 | 2021 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2020 | 29 | |
| 12 | 2020 | 24 | |
| 13 | 2020 | 22 | |
| 14 | 2023 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2021 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2021 | 15 | |
| 19 | 2021 | 14 | |
| 20 | 2022 | 13 |
About Wang Wang
Wang Wang is a scholar working on Biomaterials, Organic Chemistry, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 44 papers that have together received 826 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (6 papers), Aortic aneurysm repair treatments (5 papers), Sulfur-Based Synthesis Techniques (5 papers), Cardiac and Coronary Surgery Techniques (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Catalytic C–H Functionalization Methods (4 papers), Aortic Disease and Treatment Approaches (3 papers) and Biological Activity of Diterpenoids and Biflavonoids (3 papers). The work is most often cited by research in Biological Psychiatry (39 citations), Behavioral Neuroscience (38 citations), Organic Chemistry (285 citations), Biomaterials (107 citations) and Inorganic Chemistry (50 citations). Wang Wang has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Hualong Bai, M. Kevin Brown, Peng Sun, Shunbo Wei, Ying Xing, Wang Wang, Weizhen Liu, Dejuan Sun, Lixia Chen and Hua Li. Their work appears in journals such as ACS Omega, Aging, Journal of Biomedical Materials Research Part B Applied Biomaterials, Molecular Neurobiology and Angewandte Chemie International Edition.
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.