Kai Shen
- Cellular and Molecular Neuroscience top 2%
- Molecular Biology
- Physiology top 5%
- Endocrine and Autonomic Systems top 10%
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Stanley M. CrainShufeng FanMonique Denavit‐SaubiéKirsty GrantJean ChampagnatAlcmène ChalazonitisMark A. ScheidelerFan Yang
- Topics
- Pain Mechanisms and Treatments (9 papers)Ion channel regulation and function (8 papers)Neuropeptides and Animal Physiology (7 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Kai Shen
17 papers receiving 847 citations
Peers
Comparison fields: 5 of 75
- Cellular and Molecular Neuroscience 653
- Molecular Biology 518
- Physiology 415
- Endocrine and Autonomic Systems 82
- Anesthesiology and Pain Medicine 48
Countries citing papers authored by Kai Shen
This map shows the geographic impact of Kai Shen'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 Kai Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai Shen more than expected).
Fields of papers citing papers by Kai Shen
This network shows the impact of papers produced by Kai Shen. 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 Kai Shen. The network helps show where Kai Shen may publish in the future.
Co-authorship network of co-authors of Kai Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Kai Shen. A scholar is included among the top collaborators of Kai Shen 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 Kai Shen. Kai Shen 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 | 0 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | Etorphine elicits unique inhibitory-agonist and excitatory-antagonist actions at opioid receptors on sensory neurons: new rationale for improved clinical analgesia and treatment of opiate addiction. | 16 |
| 10 | 172 | |
| 11 | 32 | |
| 12 | 45 | |
| 13 | 47 | |
| 14 | 95 | |
| 15 | Dynorphin prolongs the action potential of mouse sensory ganglion neurons by decreasing a potassium conductance whereas another specific kappa opioid does so by increasing a calcium conductance. | 31 |
| 16 | 29 | |
| 17 | Opioids can evoke direct receptor-mediated excitatory as well as inhibitory effects on sensory neuron action potentials. | 11 |
| 18 | 191 | |
| 19 | 57 | |
| 20 | 92 |
About Kai Shen
Kai Shen is a scholar working on Cellular and Molecular Neuroscience, Physiology and Behavioral Neuroscience, having authored 21 papers that have together received 872 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (9 papers), Ion channel regulation and function (8 papers) and Neuropeptides and Animal Physiology (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (653 citations), Physiology (415 citations) and Endocrine and Autonomic Systems (82 citations). Kai Shen has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Stanley M. Crain, Shufeng Fan, Monique Denavit‐Saubié, Kirsty Grant, Jean Champagnat, Alcmène Chalazonitis, Mark A. Scheideler, Fan Yang, Yike Wang and Kenji Kawai. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Physiology and Brain Research.
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.