Daoyun Ji
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Experimental and Cognitive Psychology top 5%
- Pharmacology top 10%
- Co-authors
- Matthew WilsonJohn A. DaniRemigijus LapėFu-Ming ZhouDaniel Christopher HaggertyCaleb KemereXiang MouMatthew A. Wilson
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Memory and Neural Mechanisms (20 papers)Neural dynamics and brain function (9 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Daoyun Ji
28 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cognitive Neuroscience 1.7k
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 842
- Experimental and Cognitive Psychology 178
- Pharmacology 144
Countries citing papers authored by Daoyun Ji
This map shows the geographic impact of Daoyun Ji'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 Daoyun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daoyun Ji more than expected).
Fields of papers citing papers by Daoyun Ji
This network shows the impact of papers produced by Daoyun Ji. 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 Daoyun Ji. The network helps show where Daoyun Ji may publish in the future.
Co-authorship network of co-authors of Daoyun Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Daoyun Ji. A scholar is included among the top collaborators of Daoyun Ji 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 Daoyun Ji. Daoyun Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 25 | |
| 7 | 15 | |
| 8 | 138 | |
| 9 | 79 | |
| 10 | 14 | |
| 11 | 21 | |
| 12 | 34 | |
| 13 | 53 | |
| 14 | 62 | |
| 15 | 27 | |
| 16 | Coordinated memory replay in the visual cortex and hippocampus during sleepbreakdown → | 1128 |
| 17 | 65 | |
| 18 | 3 | |
| 19 | 366 | |
| 20 | 224 |
About Daoyun Ji
Daoyun Ji is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Memory and Neural Mechanisms (20 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Cellular and Molecular Neuroscience (1.6k citations) and Developmental Neuroscience (72 citations). Daoyun Ji has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Matthew Wilson, John A. Dani, Remigijus Lapė, Fu-Ming Zhou, Daniel Christopher Haggerty, Caleb Kemere, Xiang Mou, Matthew A. Wilson, Huda Y. Zoghbi and Mariella De Biasi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of 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.