Kaixing Huang
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Economics and Econometrics top 10%
- Neurology
- Strategy and Management top 10%
- Co-authors
- Nicholas SimHong ZhaoJudith R. WaltersJulian R.F. WaltersJikun HuangGuo-Zhang JinBao-Cun SunDebra A. Bergstrom
- Topics
- Energy, Environment, Economic Growth (6 papers)Neurotransmitter Receptor Influence on Behavior (6 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Journals
- NeuroscienceJournal of Pharmacology and Experimental TherapeuticsEuropean Journal of Pharmacology
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Kaixing Huang
33 papers receiving 512 citations
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 191
- Molecular Biology 118
- Economics and Econometrics 96
- Neurology 86
- Strategy and Management 72
Countries citing papers authored by Kaixing Huang
This map shows the geographic impact of Kaixing 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 Kaixing Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixing Huang more than expected).
Fields of papers citing papers by Kaixing Huang
This network shows the impact of papers produced by Kaixing 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 Kaixing Huang. The network helps show where Kaixing Huang may publish in the future.
Co-authorship network of co-authors of Kaixing Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Kaixing Huang. A scholar is included among the top collaborators of Kaixing 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 Kaixing Huang. Kaixing 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 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 30 | |
| 13 | 11 | |
| 14 | 14 | |
| 15 | 11 | |
| 16 | 74 | |
| 17 | 18 | |
| 18 | 9 | |
| 19 | 25 | |
| 20 | Comparison of effects of tetrahydropalmatine enantiomers on firing activity of dopamine neurons in substantia nigra pars compacta. | 8 |
About Kaixing Huang
Kaixing Huang is a scholar working on Soil Science, General Economics, Econometrics and Finance and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 541 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (6 papers), Neurotransmitter Receptor Influence on Behavior (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (191 citations), Neurology (86 citations) and Strategy and Management (72 citations). Kaixing Huang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Nicholas Sim, Hong Zhao, Judith R. Walters, Julian R.F. Walters, Jikun Huang, Guo-Zhang Jin, Bao-Cun Sun, Debra A. Bergstrom, Jinxia Wang and Christopher Findlay. Their work appears in journals such as Neuroscience, Journal of Pharmacology and Experimental Therapeutics and European Journal of Pharmacology.
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.