Kuan Hong Wang
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 10%
- Developmental Neuroscience top 0.5%
- Cognitive Neuroscience top 5%
- Cell Biology top 2%
- Co-authors
- Marc Tessier‐LavigneKatja BroseWilliam J. HenzelThomas KiddCorey S. GoodmanDavid ArnottK BlandSurjeet Mastwal
- Topics
- Neural dynamics and brain function (17 papers)Neuroscience and Neuropharmacology Research (14 papers)Neurotransmitter Receptor Influence on Behavior (7 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United StatesJapanChina
In The Last Decade
Kuan Hong Wang
36 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 2.1k
- Molecular Biology 1.2k
- Developmental Neuroscience 724
- Cognitive Neuroscience 556
- Cell Biology 494
Countries citing papers authored by Kuan Hong Wang
This map shows the geographic impact of Kuan Hong 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 Kuan Hong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan Hong Wang more than expected).
Fields of papers citing papers by Kuan Hong Wang
This network shows the impact of papers produced by Kuan Hong 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 Kuan Hong Wang. The network helps show where Kuan Hong Wang may publish in the future.
Co-authorship network of co-authors of Kuan Hong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Kuan Hong Wang. A scholar is included among the top collaborators of Kuan Hong 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 Kuan Hong Wang. Kuan Hong 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 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Emotional Well-Being: What It Is and Why It Mattersbreakdown → | 112 |
| 9 | 1 | |
| 10 | 132 | |
| 11 | 15 | |
| 12 | 86 | |
| 13 | 99 | |
| 14 | 35 | |
| 15 | 42 | |
| 16 | 65 | |
| 17 | 83 | |
| 18 | 9 | |
| 19 | 62 | |
| 20 | 53 |
About Kuan Hong Wang
Kuan Hong Wang is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Behavioral Neuroscience, having authored 39 papers that have together received 2.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (17 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). The work is most often cited by research in Developmental Neuroscience (724 citations), Cellular and Molecular Neuroscience (2.1k citations) and Cell Biology (494 citations). Kuan Hong Wang has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Marc Tessier‐Lavigne, Katja Brose, William J. Henzel, Thomas Kidd, Corey S. Goodman, David Arnott, K Bland, Surjeet Mastwal, Vania Y. Cao and Susumu Tonegawa. Their work appears in journals such as Nature, Cell and Nature Communications.
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.