Hongyin Wang
- Molecular Biology top 10%
- Biomedical Engineering top 10%
- Materials Chemistry
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 5%
- Co-authors
- Carme GallegoJoan X. ComellaValentı́n CeñaMontse IglesiasMario EncinasYuhui LiuAshraf MuhaisenZhan Chen
- Topics
- Lipid Membrane Structure and Behavior (12 papers)Cellular transport and secretion (6 papers)Nanoplatforms for cancer theranostics (5 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Hongyin Wang
53 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 1.2k
- Biomedical Engineering 408
- Materials Chemistry 254
- Cellular and Molecular Neuroscience 244
- Cell Biology 239
Countries citing papers authored by Hongyin Wang
This map shows the geographic impact of Hongyin 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 Hongyin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongyin Wang more than expected).
Fields of papers citing papers by Hongyin Wang
This network shows the impact of papers produced by Hongyin 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 Hongyin Wang. The network helps show where Hongyin Wang may publish in the future.
Co-authorship network of co-authors of Hongyin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Hongyin Wang. A scholar is included among the top collaborators of Hongyin Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongyin Wang. Hongyin Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | Cell membranes sustain phospholipid imbalance via cholesterol asymmetrybreakdown → | 33 |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 70 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 43 | |
| 11 | 31 | |
| 12 | 4 | |
| 13 | 160 | |
| 14 | 33 | |
| 15 | Concepts,Theories and Skills of Translation of Chinese Classics | 1 |
| 16 | 81 | |
| 17 | 36 | |
| 18 | 63 | |
| 19 | 81 | |
| 20 | Sequential Treatment of SH‐SY5Y Cells with Retinoic Acid and Brain‐Derived Neurotrophic Factor Gives Rise to Fully Differentiated, Neurotrophic Factor‐Dependent, Human Neuron‐Like Cellsbreakdown → | 647 |
About Hongyin Wang
Hongyin Wang is a scholar working on Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 55 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (12 papers), Cellular transport and secretion (6 papers) and Nanoplatforms for cancer theranostics (5 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Developmental Neuroscience (69 citations) and Biomaterials (200 citations). Hongyin Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Carme Gallego, Joan X. Comella, Valentı́n Ceña, Montse Iglesias, Mario Encinas, Yuhui Liu, Ashraf Muhaisen, Zhan Chen, Bruce Futcher and Fu‐Gen Wu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.