Kunhong Xiao
- Molecular Biology top 1%
- Cellular and Molecular Neuroscience top 0.5%
- Oncology top 5%
- Spectroscopy top 2%
- Cell Biology top 2%
- Co-authors
- Robert J. LefkowitzSudha K. ShenoyArun K. ShuklaSeungkirl AhnSudarshan RajagopalMakoto R. HaraMinyong ChenJames W. Wisler
- Topics
- Receptor Mechanisms and Signaling (37 papers)Neuropeptides and Animal Physiology (15 papers)Mass Spectrometry Techniques and Applications (13 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Kunhong Xiao
74 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 4.6k
- Cellular and Molecular Neuroscience 2.1k
- Oncology 579
- Spectroscopy 478
- Cell Biology 472
Countries citing papers authored by Kunhong Xiao
This map shows the geographic impact of Kunhong Xiao'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 Kunhong Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunhong Xiao more than expected).
Fields of papers citing papers by Kunhong Xiao
This network shows the impact of papers produced by Kunhong Xiao. 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 Kunhong Xiao. The network helps show where Kunhong Xiao may publish in the future.
Co-authorship network of co-authors of Kunhong Xiao
This figure shows the co-authorship network connecting the top 25 collaborators of Kunhong Xiao. A scholar is included among the top collaborators of Kunhong Xiao 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 Kunhong Xiao. Kunhong Xiao 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 | 2 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 38 | |
| 9 | 39 | |
| 10 | 44 | |
| 11 | 21 | |
| 12 | 32 | |
| 13 | Distinct Phosphorylation Sites on the β 2 -Adrenergic Receptor Establish a Barcode That Encodes Differential Functions of β-Arrestinbreakdown → | 497 |
| 14 | 164 | |
| 15 | 92 | |
| 16 | 125 | |
| 17 | 125 | |
| 18 | Functional specialization of β-arrestin interactions revealed by proteomic analysisbreakdown → | 327 |
| 19 | 113 | |
| 20 | 13 |
About Kunhong Xiao
Kunhong Xiao is a scholar working on Cellular and Molecular Neuroscience, Spectroscopy and Molecular Biology, having authored 81 papers that have together received 5.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (37 papers), Neuropeptides and Animal Physiology (15 papers) and Mass Spectrometry Techniques and Applications (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.1k citations), Molecular Biology (4.6k citations) and Spectroscopy (478 citations). Kunhong Xiao has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert J. Lefkowitz, Sudha K. Shenoy, Arun K. Shukla, Seungkirl Ahn, Sudarshan Rajagopal, Makoto R. Hara, Minyong Chen, James W. Wisler, Olivier Lichtarge and Richard T. Premont. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.