Weiqin Zhao
- Physiology top 1%
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 1%
- Neurology top 1%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Daniel L. AlkonMichael J. QuonHui ChenMatthew TownsendSebastiano CavallaroHui XuNoam MeiriElizabeth Moore
- Topics
- Neuroscience and Neuropharmacology Research (21 papers)Memory and Neural Mechanisms (8 papers)Receptor Mechanisms and Signaling (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Weiqin Zhao
52 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Physiology 1.6k
- Molecular Biology 1.4k
- Cellular and Molecular Neuroscience 1.3k
- Neurology 567
- Endocrinology, Diabetes and Metabolism 528
Countries citing papers authored by Weiqin Zhao
This map shows the geographic impact of Weiqin Zhao'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 Weiqin Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiqin Zhao more than expected).
Fields of papers citing papers by Weiqin Zhao
This network shows the impact of papers produced by Weiqin Zhao. 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 Weiqin Zhao. The network helps show where Weiqin Zhao may publish in the future.
Co-authorship network of co-authors of Weiqin Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Weiqin Zhao. A scholar is included among the top collaborators of Weiqin Zhao 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 Weiqin Zhao. Weiqin Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 10 | |
| 5 | 44 | |
| 6 | Expression of α ⁃synuclein in the spinal cord of Alzheimer's disease | 1 |
| 7 | 1 | |
| 8 | 165 | |
| 9 | 274 | |
| 10 | 21 | |
| 11 | 27 | |
| 12 | 41 | |
| 13 | 16 | |
| 14 | 46 | |
| 15 | 434 | |
| 16 | 20 | |
| 17 | 9 | |
| 18 | 13 | |
| 19 | 15 | |
| 20 | 41 |
About Weiqin Zhao
Weiqin Zhao is a scholar working on Cellular and Molecular Neuroscience, Neurology and Neurology, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Memory and Neural Mechanisms (8 papers) and Receptor Mechanisms and Signaling (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Neurology (567 citations) and Physiology (1.6k citations). Weiqin Zhao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Daniel L. Alkon, Michael J. Quon, Hui Chen, Matthew Townsend, Sebastiano Cavallaro, Hui Xu, Noam Meiri, Hui Chen, Elizabeth Moore and Grant A. Krafft. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.