Fai Siu
Impact in
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- Neuropeptides and Animal Physiology
- Molecular Biology top 5%
- Receptor Mechanisms and Signaling
- Hedgehog Signaling Pathway Studies
- RNA and protein synthesis mechanisms
- Chemical Synthesis and Analysis
Papers in
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- Receptor Mechanisms and Signaling 6
- RNA and protein synthesis mechanisms 3
- Chemical Synthesis and Analysis 2
- RNA Research and Splicing 2
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- Endoplasmic Reticulum Stress and Disease 4
- Co-authors
- Raymond C. Stevens (7 shared papers)Vsevolod Katritch (5 shared papers)Michael S. Kilberg (4 shared papers)Vadim Cherezov (4 shared papers)Gye Won Han (4 shared papers)Bryan L. Roth (3 shared papers)Chong Wang (3 shared papers)Xi‐Ping Huang (3 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Nature (2 papers)Nature Communications (1 paper)Nature Methods (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Fai Siu
16 papers receiving 2.2k citations
Fai Siu's Hit Papers
Peers
Comparison fields: 5 of 101
- Cellular and Molecular Neuroscience 731
- Molecular Biology 1.8k
- Cell Biology 275
- Structural Biology 22
- Endocrinology, Diabetes and Metabolism 176
Countries citing papers authored by Fai Siu
This map shows the geographic impact of Fai Siu'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 Fai Siu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fai Siu more than expected).
Fields of papers citing papers by Fai Siu
This network shows the impact of papers produced by Fai Siu. 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 Fai Siu. The network helps show where Fai Siu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fai Siu, 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 | Structural Features for Functional Selectivity at Serotonin Receptors Hit paper breakdown → | 2013 | 548 |
| 2 | 2013 | 369 | |
| 3 | 2013 | 298 | |
| 4 | 2002 | 224 | |
| 5 | 2013 | 147 | |
| 6 | 2013 | 110 | |
| 7 | 2000 | 101 | |
| 8 | 2003 | 93 | |
| 9 | 2015 | 93 | |
| 10 | 2001 | 68 | |
| 11 | 2006 | 52 | |
| 12 | 1966 | 40 | |
| 13 | 2005 | 39 | |
| 14 | 1967 | 25 | |
| 15 | 2014 | 14 | |
| 16 | 2020 | 1 |
About Fai Siu
Fai Siu is a scholar working on Molecular Biology, Cell Biology, Genetics, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Endoplasmic Reticulum Stress and Disease (4 papers), RNA and protein synthesis mechanisms (3 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Chemical Synthesis and Analysis (2 papers), RNA Research and Splicing (2 papers), Adipose Tissue and Metabolism (2 papers) and Chemical synthesis and alkaloids (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (731 citations), Molecular Biology (1.8k citations), Cell Biology (275 citations), Structural Biology (22 citations) and Endocrinology, Diabetes and Metabolism (176 citations). Fai Siu has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Raymond C. Stevens, Vsevolod Katritch, Michael S. Kilberg, Vadim Cherezov, Gye Won Han, Bryan L. Roth, Chong Wang, Xi‐Ping Huang, Wei Liu and Daniel Wacker. Their work appears in journals such as Journal of Biological Chemistry, Nature, Nature Communications, Nature Methods and Analytical Biochemistry.
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.