Junting Huang
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Sensory Systems top 5%
- Co-authors
- Gerald W. ZamponiZizhen ZhangVinícius M. GadottiLina ChenIvana A. SouzaDecheng WangShuo HuangCharu Ramakrishnan
- Topics
- Pain Mechanisms and Treatments (6 papers)Ion channel regulation and function (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Journals
- Nature NeuroscienceOncogenePain
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Junting Huang
22 papers receiving 610 citations
Peers
Comparison fields: 5 of 92
- Physiology 276
- Cellular and Molecular Neuroscience 201
- Molecular Biology 152
- Cognitive Neuroscience 151
- Sensory Systems 59
Countries citing papers authored by Junting Huang
This map shows the geographic impact of Junting 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 Junting Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junting Huang more than expected).
Fields of papers citing papers by Junting Huang
This network shows the impact of papers produced by Junting 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 Junting Huang. The network helps show where Junting Huang may publish in the future.
Co-authorship network of co-authors of Junting Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Junting Huang. A scholar is included among the top collaborators of Junting 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 Junting Huang. Junting 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 17 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 22 | |
| 10 | 37 | |
| 11 | 27 | |
| 12 | 23 | |
| 13 | 222 | |
| 14 | 14 | |
| 15 | 12 | |
| 16 | 31 | |
| 17 | 8 | |
| 18 | Study on the distribution of CD8+ memory T cell subsets and IFN-γ level during the spontaneous clearance of hepatitis B virus in patients with chronic hepatitis B virus infection. | 4 |
| 19 | 36 | |
| 20 | Three-dimensional modeling of human brain stem structures for an auditory brain stem implant. | 3 |
About Junting Huang
Junting Huang is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Physiology, having authored 25 papers that have together received 617 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Sensory Systems (59 citations), Cellular and Molecular Neuroscience (201 citations) and Physiology (276 citations). Junting Huang has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Gerald W. Zamponi, Zizhen Zhang, Vinícius M. Gadotti, Lina Chen, Ivana A. Souza, Decheng Wang, Shuo Huang, Charu Ramakrishnan, Karl Deisseroth and Jean K. Moore. Their work appears in journals such as Nature Neuroscience, Oncogene and Pain.
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.