Qingtong Zhou
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery
- Computational Theory and Mathematics top 5%
- Co-authors
- Ming‐Wei WangDehua YangSuwen ZhaoAntao DaiRaymond C. StevensYiran WuSanaz DarbalaeiWenqing Shui
- Topics
- Receptor Mechanisms and Signaling (28 papers)Neuropeptides and Animal Physiology (21 papers)Diabetes Treatment and Management (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyNature Communications
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qingtong Zhou
66 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 595
- Endocrinology, Diabetes and Metabolism 200
- Surgery 168
- Computational Theory and Mathematics 167
Countries citing papers authored by Qingtong Zhou
This map shows the geographic impact of Qingtong Zhou'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 Qingtong Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingtong Zhou more than expected).
Fields of papers citing papers by Qingtong Zhou
This network shows the impact of papers produced by Qingtong Zhou. 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 Qingtong Zhou. The network helps show where Qingtong Zhou may publish in the future.
Co-authorship network of co-authors of Qingtong Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Qingtong Zhou. A scholar is included among the top collaborators of Qingtong Zhou 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 Qingtong Zhou. Qingtong Zhou 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 | 0 | |
| 3 | 1 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 7 | |
| 11 | 25 | |
| 12 | 25 | |
| 13 | 18 | |
| 14 | 25 | |
| 15 | 16 | |
| 16 | 8 | |
| 17 | 7 | |
| 18 | Common activation mechanism of class A GPCRsbreakdown → | 396 |
| 19 | 34 | |
| 20 | 17 |
About Qingtong Zhou
Qingtong Zhou is a scholar working on Cellular and Molecular Neuroscience, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 70 papers that have together received 1.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (28 papers), Neuropeptides and Animal Physiology (21 papers) and Diabetes Treatment and Management (12 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (595 citations), Molecular Biology (1.3k citations) and Endocrinology, Diabetes and Metabolism (200 citations). Qingtong Zhou has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Ming‐Wei Wang, Dehua Yang, Suwen Zhao, Antao Dai, Raymond C. Stevens, Yiran Wu, Sanaz Darbalaei, Wenqing Shui, Qing Liu and Xiaoqing Cai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.
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.