Ben Huang
- Cellular and Molecular Neuroscience top 1%
- Neurology top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- István MódyAndrew N. ClarksonS. Thomas CarmichaelS. MacisaacPeyman GolshaniBaljit S. KhakhRahul SrinivasanHongkui Zeng
- Topics
- Advanced Fiber Optic Sensors (7 papers)Photonic and Optical Devices (7 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ben Huang
28 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cellular and Molecular Neuroscience 1.2k
- Neurology 776
- Molecular Biology 579
- Cognitive Neuroscience 476
- Electrical and Electronic Engineering 362
Countries citing papers authored by Ben Huang
This map shows the geographic impact of Ben 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 Ben Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Huang more than expected).
Fields of papers citing papers by Ben Huang
This network shows the impact of papers produced by Ben 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 Ben Huang. The network helps show where Ben Huang may publish in the future.
Co-authorship network of co-authors of Ben Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Ben Huang. A scholar is included among the top collaborators of Ben 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 Ben Huang. Ben 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 | 48 | |
| 4 | 8 | |
| 5 | 17 | |
| 6 | Sustained rescue of prefrontal circuit dysfunction by antidepressant-induced spine formationbreakdown → | 461 |
| 7 | 7 | |
| 8 | 15 | |
| 9 | 295 | |
| 10 | 115 | |
| 11 | 26 | |
| 12 | 367 | |
| 13 | 3 | |
| 14 | 49 | |
| 15 | Reducing excessive GABA-mediated tonic inhibition promotes functional recovery after strokebreakdown → | 685 |
| 16 | 74 | |
| 17 | SELF-ASSEMBLING PEPTIDE RADA16 NANOFIBRE SCAFFOLD FOR A CANCER CELL THREE-DIMENSIONAL CULTURE | 1 |
| 18 | 50 | |
| 19 | 95 | |
| 20 | 9 |
About Ben Huang
Ben Huang is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 30 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (7 papers), Photonic and Optical Devices (7 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Biological Psychiatry (265 citations), Neurology (776 citations) and Developmental Neuroscience (279 citations). Ben Huang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include István Módy, Andrew N. Clarkson, S. Thomas Carmichael, S. Macisaac, Peyman Golshani, Baljit S. Khakh, Rahul Srinivasan, Hongkui Zeng, Sharmila Venugopal and April D. Johnston. Their work appears in journals such as Nature, Science and Neuron.
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.