Sui Yu
Impact in
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Cognitive Neuroscience top 10%
- Autism Spectrum Disorder Research
Papers in
- Genetics 9
- Genetics and Neurodevelopmental Disorders 7
- Genomics and Rare Diseases 5
- Genomic variations and chromosomal abnormalities 4
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- DNA Repair Mechanisms 2
- Co-authors
- Robert I. Richards (3 shared papers)Grant R. Sutherland (2 shared papers)D. Hewett (2 shared papers)Marie Mangelsdorf (2 shared papers)Lynne Hobson (2 shared papers)Helen J. Eyre (2 shared papers)Elizabeth Baker (1 shared paper)Norman A. Doggett (1 shared paper)
- Journals
- Optics Communications (3 papers)Journal of Lightwave Technology (1 paper)Nature (1 paper)Cell (1 paper)Circulation (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Sui Yu
16 papers receiving 558 citations
Peers
Comparison fields: 5 of 76
- Genetics 387
- Cognitive Neuroscience 104
- Molecular Biology 307
- Clinical Biochemistry 24
- Cellular and Molecular Neuroscience 51
Countries citing papers authored by Sui Yu
This map shows the geographic impact of Sui Yu'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 Sui Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sui Yu more than expected).
Fields of papers citing papers by Sui Yu
This network shows the impact of papers produced by Sui Yu. 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 Sui Yu. The network helps show where Sui Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sui Yu, 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 | 2018 | 184 | |
| 2 | 1997 | 155 | |
| 3 | 1991 | 94 | |
| 4 | 2014 | 36 | |
| 5 | 1997 | 32 | |
| 6 | 2015 | 26 | |
| 7 | 2012 | 17 | |
| 8 | 2010 | 14 | |
| 9 | 2014 | 14 | |
| 10 | 2023 | 8 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2023 | 1 | |
| 16 | Detecting the TGFA gene Taq I mutation with high resolution melting method. | 2010 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2024 | 0 |
About Sui Yu
Sui Yu is a scholar working on Genetics, Molecular Biology, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 18 papers that have together received 594 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (7 papers), Advanced Fiber Laser Technologies (6 papers), Genomics and Rare Diseases (5 papers), Photonic Crystal and Fiber Optics (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Laser-Matter Interactions and Applications (3 papers), DNA Repair Mechanisms (2 papers) and Photonic and Optical Devices (2 papers). The work is most often cited by research in Genetics (387 citations), Cognitive Neuroscience (104 citations), Molecular Biology (307 citations), Clinical Biochemistry (24 citations) and Cellular and Molecular Neuroscience (51 citations). Sui Yu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Robert I. Richards, Grant R. Sutherland, D. Hewett, Marie Mangelsdorf, Lynne Hobson, Helen J. Eyre, Elizabeth Baker, Norman A. Doggett, Naras M. Lapsys and Denis Le Paslier. Their work appears in journals such as Optics Communications, Journal of Lightwave Technology, Nature, Cell and Circulation.
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.