Hong-Yan Cai
- Physiology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Jin‐Shun QiMeina WuZhao‐Jun WangJunting YangChristian HölscherYuan LiJun ZhangZhao-Jun Wang
- Topics
- Alzheimer's disease research and treatments (15 papers)Neuroscience and Neuropharmacology Research (13 papers)Nuclear Receptors and Signaling (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Hong-Yan Cai
36 papers receiving 786 citations
Peers
Comparison fields: 5 of 82
- Physiology 323
- Molecular Biology 236
- Endocrinology, Diabetes and Metabolism 222
- Cellular and Molecular Neuroscience 184
- Neurology 127
Countries citing papers authored by Hong-Yan Cai
This map shows the geographic impact of Hong-Yan Cai'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 Hong-Yan Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong-Yan Cai more than expected).
Fields of papers citing papers by Hong-Yan Cai
This network shows the impact of papers produced by Hong-Yan Cai. 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 Hong-Yan Cai. The network helps show where Hong-Yan Cai may publish in the future.
Co-authorship network of co-authors of Hong-Yan Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Yan Cai. A scholar is included among the top collaborators of Hong-Yan Cai 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 Hong-Yan Cai. Hong-Yan Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | [Mitochondrial calcium uniporter knockdown in hippocampal neurons improved the learning and memory dysfunction of Alzheimer's disease mice]. | 2 |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 60 | |
| 13 | 42 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 113 | |
| 17 | 12 | |
| 18 | 39 | |
| 19 | 87 | |
| 20 | 23 |
About Hong-Yan Cai
Hong-Yan Cai is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Physiology, having authored 38 papers that have together received 792 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (15 papers), Neuroscience and Neuropharmacology Research (13 papers) and Nuclear Receptors and Signaling (5 papers). The work is most often cited by research in Biological Psychiatry (53 citations), Neurology (127 citations) and Endocrinology, Diabetes and Metabolism (222 citations). Hong-Yan Cai has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Jin‐Shun Qi, Meina Wu, Zhao‐Jun Wang, Junting Yang, Christian Hölscher, Yuan Li, Jun Zhang, Zhao-Jun Wang, Wei Yang and Meng-Ming Hu. Their work appears in journals such as Brain Research, Biochemical and Biophysical Research Communications and Neuroscience.
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.