Ai Fang
- Molecular Biology
- Biomedical Engineering
- Developmental Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Biomaterials top 10%
- Topics
- Silk-based biomaterials and applications (4 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)Single-cell and spatial transcriptomics (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Ai Fang
23 papers receiving 935 citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 526
- Biomedical Engineering 213
- Developmental Neuroscience 168
- Cellular and Molecular Neuroscience 127
- Biomaterials 126
Countries citing papers authored by Ai Fang
This map shows the geographic impact of Ai Fang'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 Ai Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ai Fang more than expected).
Fields of papers citing papers by Ai Fang
This network shows the impact of papers produced by Ai Fang. 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 Ai Fang. The network helps show where Ai Fang may publish in the future.
Co-authorship network of co-authors of Ai Fang
This figure shows the co-authorship network connecting the top 25 collaborators of Ai Fang. A scholar is included among the top collaborators of Ai Fang 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 Ai Fang. Ai Fang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 37 | |
| 4 | 1 | |
| 5 | Vascularized human cortical organoids (vOrganoids) model cortical development in vivobreakdown → | 278 |
| 6 | 40 | |
| 7 | 12 | |
| 8 | 91 | |
| 9 | 114 | |
| 10 | Correlation between compliance in patients with anti-hypertensive therapy and blood pressure control. | 1 |
| 11 | 74 | |
| 12 | 1 | |
| 13 | 33 | |
| 14 | 45 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 127 | |
| 19 | 1 | |
| 20 | THE FLORA OF THE LIUQU FORMATION IN SOUTH TIBET AND ITS CLIMATIC IMPLICATIONS | 10 |
About Ai Fang
Ai Fang is a scholar working on Developmental Neuroscience, Sensory Systems and Biomaterials, having authored 23 papers that have together received 953 indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Developmental Neuroscience (168 citations), Endocrine and Autonomic Systems (80 citations) and Biomaterials (126 citations). Ai Fang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qian Wu, Xiaoqun Wang, Le Sun, Peng Li, Rui Li, Suijuan Zhong, Rui Li, Ruiguo Chen, Mengdi Wang and Lijie Guo. Their work appears in journals such as Cell stem cell, PLoS Biology and Cerebral Cortex.
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.