Weijiao Huang
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Epidemiology
- Computational Theory and Mathematics top 5%
- Co-authors
- Brian K. KobilkaHideaki KatoToon LaeremansJan SteyaertSébastien GranierAashish ManglikRon O. DrorGeorgios Skiniotis
- Topics
- Receptor Mechanisms and Signaling (8 papers)Neuropeptides and Animal Physiology (8 papers)Pharmacological Receptor Mechanisms and Effects (3 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Weijiao Huang
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 1.0k
- Radiology, Nuclear Medicine and Imaging 239
- Epidemiology 190
- Computational Theory and Mathematics 185
Countries citing papers authored by Weijiao Huang
This map shows the geographic impact of Weijiao Huang'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 Weijiao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weijiao Huang more than expected).
Fields of papers citing papers by Weijiao Huang
This network shows the impact of papers produced by Weijiao Huang. 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 Weijiao Huang. The network helps show where Weijiao Huang may publish in the future.
Co-authorship network of co-authors of Weijiao Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Weijiao Huang. A scholar is included among the top collaborators of Weijiao Huang 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 Weijiao Huang. Weijiao Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 0 | |
| 3 | 19 | |
| 4 | 72 | |
| 5 | 38 | |
| 6 | 29 | |
| 7 | 21 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | Structure of the neurotensin receptor 1 in complex with β-arrestin 1breakdown → | 274 |
| 11 | 18 | |
| 12 | 182 | |
| 13 | 54 | |
| 14 | 41 | |
| 15 | Structural insights into µ-opioid receptor activationbreakdown → | 700 |
| 16 | 202 | |
| 17 | 29 | |
| 18 | 174 | |
| 19 | 142 | |
| 20 | 17 |
About Weijiao Huang
Weijiao Huang is a scholar working on Aging, Cellular and Molecular Neuroscience and Physiology, having authored 20 papers that have together received 2.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Neuropeptides and Animal Physiology (8 papers) and Pharmacological Receptor Mechanisms and Effects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Molecular Biology (1.8k citations) and Computational Theory and Mathematics (185 citations). Weijiao Huang has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Brian K. Kobilka, Hideaki Kato, Toon Laeremans, Jan Steyaert, Sébastien Granier, Aashish Manglik, Ron O. Dror, Georgios Skiniotis, Peter Gmeiner and Asuka Inoue. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.