Suya Liu
Impact in
- Spectroscopy top 1%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
- Biochemistry top 5%
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Spectroscopy 19
- Mass Spectrometry Techniques and Applications 17
- Analytical Chemistry and Chromatography 13
- Co-authors
- William J. Griffiths (14 shared papers)Jan Sjövall (12 shared papers)Gilles Lajoie (13 shared papers)Maria Sjöberg (1 shared paper)Alexander Mata de Urquiza (1 shared paper)Rolf Zetterström (1 shared paper)Thomas Perlmann (1 shared paper)Gunvor Alvélius (5 shared papers)
In The Last Decade
Suya Liu
67 papers receiving 3.3k citations
Suya Liu's Hit Papers
Peers
Comparison fields: 5 of 142
- Spectroscopy 594
- Biochemistry 172
- Behavioral Neuroscience 83
- Molecular Biology 1.6k
- Cellular and Molecular Neuroscience 407
Countries citing papers authored by Suya Liu
This map shows the geographic impact of Suya Liu'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 Suya Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suya Liu more than expected).
Fields of papers citing papers by Suya Liu
This network shows the impact of papers produced by Suya Liu. 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 Suya Liu. The network helps show where Suya Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Suya Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Docosahexaenoic Acid, a Ligand for the Retinoid X Receptor in Mouse Brain Hit paper breakdown → | 2000 | 600 |
| 2 | 2005 | 209 | |
| 3 | 2012 | 159 | |
| 4 | 2001 | 125 | |
| 5 | 2009 | 120 | |
| 6 | 2003 | 115 | |
| 7 | 2009 | 114 | |
| 8 | 2009 | 110 | |
| 9 | 2003 | 98 | |
| 10 | 2009 | 95 | |
| 11 | 2004 | 91 | |
| 12 | 2006 | 91 | |
| 13 | 2013 | 89 | |
| 14 | 2005 | 85 | |
| 15 | 2022 | 84 | |
| 16 | 2019 | 77 | |
| 17 | 2015 | 77 | |
| 18 | 2019 | 70 | |
| 19 | 2000 | 70 | |
| 20 | 2008 | 70 |
About Suya Liu
Suya Liu is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Electrical and Electronic Engineering and Surgery, having authored 73 papers that have together received 3.4k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (17 papers), Analytical Chemistry and Chromatography (13 papers), Hormonal and reproductive studies (6 papers), Cholesterol and Lipid Metabolism (5 papers), Plant Molecular Biology Research (4 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Plant Stress Responses and Tolerance (4 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Spectroscopy (594 citations), Biochemistry (172 citations), Behavioral Neuroscience (83 citations), Molecular Biology (1.6k citations) and Cellular and Molecular Neuroscience (407 citations). Suya Liu has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include William J. Griffiths, Jan Sjövall, Gilles Lajoie, Maria Sjöberg, Alexander Mata de Urquiza, Rolf Zetterström, Thomas Perlmann, Gunvor Alvélius, Yuqin Wang and Henry M. Krause. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Analytical Chemistry, Journal of the American Society for Mass Spectrometry, International Journal of Molecular Sciences 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.