Shan‐Xue Jin
- Physiology top 1%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Sensory Systems top 0.5%
- Neurology top 5%
- Co-authors
- Clifford J. WoolfRu‐Rong JiTarek A. SamadZhi-Ye ZhuangAnn Marie CraigMichael W. LinhoffEthan R. GrafLarry A. Feig
- Topics
- Neuroscience and Neuropharmacology Research (10 papers)Alzheimer's disease research and treatments (6 papers)Pain Mechanisms and Treatments (5 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Shan‐Xue Jin
23 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Physiology 1.7k
- Cellular and Molecular Neuroscience 1.6k
- Molecular Biology 1.0k
- Sensory Systems 522
- Neurology 290
Countries citing papers authored by Shan‐Xue Jin
This map shows the geographic impact of Shan‐Xue Jin'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 Shan‐Xue Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shan‐Xue Jin more than expected).
Fields of papers citing papers by Shan‐Xue Jin
This network shows the impact of papers produced by Shan‐Xue Jin. 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 Shan‐Xue Jin. The network helps show where Shan‐Xue Jin may publish in the future.
Co-authorship network of co-authors of Shan‐Xue Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Shan‐Xue Jin. A scholar is included among the top collaborators of Shan‐Xue Jin 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 Shan‐Xue Jin. Shan‐Xue Jin 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 | 2 | |
| 3 | 5 | |
| 4 | 48 | |
| 5 | 17 | |
| 6 | 6 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 4 | |
| 11 | 9 | |
| 12 | 22 | |
| 13 | 68 | |
| 14 | 76 | |
| 15 | Neurexins Induce Differentiation of GABA and Glutamate Postsynaptic Specializations via Neuroliginsbreakdown → | 741 |
| 16 | 28 | |
| 17 | 136 | |
| 18 | p38 MAPK Activation by NGF in Primary Sensory Neurons after Inflammation Increases TRPV1 Levels and Maintains Heat Hyperalgesiabreakdown → | 1003 |
| 19 | 84 | |
| 20 | 29 |
About Shan‐Xue Jin
Shan‐Xue Jin is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Sensory Systems, having authored 24 papers that have together received 3.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Alzheimer's disease research and treatments (6 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Sensory Systems (522 citations), Cellular and Molecular Neuroscience (1.6k citations) and Physiology (1.7k citations). Shan‐Xue Jin has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Clifford J. Woolf, Ru‐Rong Ji, Tarek A. Samad, Zhi-Ye Zhuang, Ann Marie Craig, Michael W. Linhoff, Ethan R. Graf, Larry A. Feig, Jacqueline K. Rose and Tomas Hökfelt. Their work appears in journals such as Cell, Journal of Biological Chemistry 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.