Weijiao Huang
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- Neuropeptides and Animal Physiology 8
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling 8
- Pharmacological Receptor Mechanisms and Effects 3
- Lipid Membrane Structure and Behavior 2
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications 2
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- Immune Cell Function and Interaction 2
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- Amino Acid Enzymes and Metabolism 1
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- Click Chemistry and Applications 1
- Co-authors
- Brian K. KobilkaHideaki KatoToon LaeremansJan SteyaertSébastien GranierAashish ManglikRon O. DrorGeorgios Skiniotis
- Journals
- Nature (7 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Weijiao Huang
19 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cellular and Molecular Neuroscience 1.0k
- Molecular Biology 1.8k
- Computational Theory and Mathematics 185
- Radiology, Nuclear Medicine and Imaging 239
- Spectroscopy 157
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
The 25 scholars most cited alongside Weijiao Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 18 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 19 | |
| 4 | 2022 | 72 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 8 | |
| 9 | 2020 | 18 | |
| 10 | Structure of the neurotensin receptor 1 in complex with β-arrestin 1breakdown → | 2020 | 274 |
| 11 | 2019 | 18 | |
| 12 | 2019 | 182 | |
| 13 | 2018 | 54 | |
| 14 | 2017 | 41 | |
| 15 | Structural insights into µ-opioid receptor activationbreakdown → | 2015 | 700 |
| 16 | 2015 | 202 | |
| 17 | 2013 | 29 | |
| 18 | 2012 | 174 | |
| 19 | 2009 | 142 | |
| 20 | 1998 | 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), Pharmacological Receptor Mechanisms and Effects (3 papers), Lipid Membrane Structure and Behavior (2 papers), Immune Cell Function and Interaction (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Amino Acid Enzymes and Metabolism (1 paper) and Click Chemistry and Applications (1 paper). 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.