Kee Wui Huang
- Cellular and Molecular Neuroscience top 1%
- Cognitive Neuroscience top 2%
- Social Psychology top 1%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 1%
- Co-authors
- Robert C. MalenkaGül DölenByung Kook LimBernardo L. SabatiniKay M. TyeStephan LammelKarl DeisserothRan Chen
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Neural dynamics and brain function (4 papers)Neuroendocrine regulation and behavior (4 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Kee Wui Huang
16 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 1.7k
- Cognitive Neuroscience 1.1k
- Social Psychology 863
- Molecular Biology 806
- Endocrine and Autonomic Systems 490
Countries citing papers authored by Kee Wui Huang
This map shows the geographic impact of Kee Wui Huang'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 Kee Wui Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kee Wui Huang more than expected).
Fields of papers citing papers by Kee Wui Huang
This network shows the impact of papers produced by Kee Wui Huang. 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 Kee Wui Huang. The network helps show where Kee Wui Huang may publish in the future.
Co-authorship network of co-authors of Kee Wui Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Kee Wui Huang. A scholar is included among the top collaborators of Kee Wui Huang 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 Kee Wui Huang. Kee Wui Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 38 | |
| 3 | 13 | |
| 4 | 30 | |
| 5 | 67 | |
| 6 | 100 | |
| 7 | 158 | |
| 8 | 49 | |
| 9 | 130 | |
| 10 | 73 | |
| 11 | 78 | |
| 12 | 74 | |
| 13 | 100 | |
| 14 | Social reward requires coordinated activity of nucleus accumbens oxytocin and serotoninbreakdown → | 842 |
| 15 | Input-specific control of reward and aversion in the ventral tegmental areabreakdown → | 977 |
| 16 | 298 |
About Kee Wui Huang
Kee Wui Huang is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Biophysics, having authored 16 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (4 papers) and Neuroendocrine regulation and behavior (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Behavioral Neuroscience (322 citations) and Endocrine and Autonomic Systems (490 citations). Kee Wui Huang has collaborated with scholars based in United States and Germany. Frequent co-authors include Robert C. Malenka, Gül Dölen, Byung Kook Lim, Bernardo L. Sabatini, Kay M. Tye, Stephan Lammel, Karl Deisseroth, Ran Chen, Patrick E. Rothwell and Brad A. Grueter. Their work appears in journals such as Nature, Cell 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.