Xiaoqin Wang
- Cognitive Neuroscience top 0.2%
- Developmental Biology top 0.1%
- Experimental and Cognitive Psychology top 1%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 1%
- Co-authors
- Steven J. EliadesThomas LuDaniel BendorLiang LiWilliam M. JenkinsMichael M. MerzenichChristoph E. SchreinerCory T. Miller
- Topics
- Neural dynamics and brain function (68 papers)Neuroscience and Music Perception (54 papers)Animal Vocal Communication and Behavior (33 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiaoqin Wang
140 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Cognitive Neuroscience 5.7k
- Developmental Biology 1.3k
- Experimental and Cognitive Psychology 1.2k
- Cellular and Molecular Neuroscience 894
- Social Psychology 854
Countries citing papers authored by Xiaoqin Wang
This map shows the geographic impact of Xiaoqin 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 Xiaoqin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqin Wang more than expected).
Fields of papers citing papers by Xiaoqin Wang
This network shows the impact of papers produced by Xiaoqin 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 Xiaoqin Wang. The network helps show where Xiaoqin Wang may publish in the future.
Co-authorship network of co-authors of Xiaoqin Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoqin Wang. A scholar is included among the top collaborators of Xiaoqin 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 Xiaoqin Wang. Xiaoqin 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 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 25 | |
| 7 | 9 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 32 | |
| 13 | 21 | |
| 14 | In vitro regeneration via callus induction in Dendrocalamus asper (Schult.) Backer. | 4 |
| 15 | 27 | |
| 16 | 14 | |
| 17 | 37 | |
| 18 | 61 | |
| 19 | 11 | |
| 20 | 128 |
About Xiaoqin Wang
Xiaoqin Wang is a scholar working on Developmental Biology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 144 papers that have together received 7.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (68 papers), Neuroscience and Music Perception (54 papers) and Animal Vocal Communication and Behavior (33 papers). The work is most often cited by research in Developmental Biology (1.3k citations), Cognitive Neuroscience (5.7k citations) and Sensory Systems (794 citations). Xiaoqin Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven J. Eliades, Thomas Lu, Daniel Bendor, Liang Li, William M. Jenkins, Michael M. Merzenich, Christoph E. Schreiner, Cory T. Miller, Liang Li and Srikantan S. Nagarajan. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.