Jian Cheng Tu
- Cellular and Molecular Neuroscience top 0.2%
- Molecular Biology top 2%
- Cognitive Neuroscience top 2%
- Genetics top 2%
- Cell Biology top 2%
- Co-authors
- Paul WorleyBo XiaoJoseph P. YuanAnthony A. LanahanScott NaisbittMorgan ShengRonald S. PetraliaAndrew Doan
- Topics
- Neuroscience and Neuropharmacology Research (14 papers)Ion channel regulation and function (6 papers)Receptor Mechanisms and Signaling (6 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jian Cheng Tu
21 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cellular and Molecular Neuroscience 3.5k
- Molecular Biology 3.3k
- Cognitive Neuroscience 938
- Genetics 728
- Cell Biology 668
Countries citing papers authored by Jian Cheng Tu
This map shows the geographic impact of Jian Cheng Tu'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 Jian Cheng Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Cheng Tu more than expected).
Fields of papers citing papers by Jian Cheng Tu
This network shows the impact of papers produced by Jian Cheng Tu. 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 Jian Cheng Tu. The network helps show where Jian Cheng Tu may publish in the future.
Co-authorship network of co-authors of Jian Cheng Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Jian Cheng Tu. A scholar is included among the top collaborators of Jian Cheng Tu 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 Jian Cheng Tu. Jian Cheng Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 98 | |
| 3 | 101 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 12 | |
| 7 | 96 | |
| 8 | 9 | |
| 9 | 243 | |
| 10 | 189 | |
| 11 | 131 | |
| 12 | 345 | |
| 13 | 138 | |
| 14 | 167 | |
| 15 | 343 | |
| 16 | Coupling of mGluR/Homer and PSD-95 Complexes by the Shank Family of Postsynaptic Density Proteinsbreakdown → | 879 |
| 17 | Shank, a Novel Family of Postsynaptic Density Proteins that Binds to the NMDA Receptor/PSD-95/GKAP Complex and Cortactinbreakdown → | 830 |
| 18 | 183 | |
| 19 | Homer Regulates the Association of Group 1 Metabotropic Glutamate Receptors with Multivalent Complexes of Homer-Related, Synaptic Proteinsbreakdown → | 551 |
| 20 | Homer Binds a Novel Proline-Rich Motif and Links Group 1 Metabotropic Glutamate Receptors with IP3 Receptorsbreakdown → | 723 |
About Jian Cheng Tu
Jian Cheng Tu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 21 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (14 papers), Ion channel regulation and function (6 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.5k citations), Developmental Neuroscience (262 citations) and Cognitive Neuroscience (938 citations). Jian Cheng Tu has collaborated with scholars based in United States, China and France. Frequent co-authors include Paul Worley, Bo Xiao, Joseph P. Yuan, Anthony A. Lanahan, Scott Naisbitt, Morgan Sheng, Ronald S. Petralia, Andrew Doan, Carlo Sala and Eunjoon Kim. Their work appears in journals such as Nature, 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.