Ying Si
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Neuroinflammation and Neurodegeneration Mechanisms
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- RNA Research and Splicing
- Muscle Physiology and Disorders
Papers in
- Neurology 13
- Amyotrophic Lateral Sclerosis Research 13
- Neuroinflammation and Neurodegeneration Mechanisms 5
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- RNA Research and Splicing 2
- Muscle Physiology and Disorders 2
- Co-authors
- Peter H. King (24 shared papers)Luis Barbeito (5 shared papers)Sofía Ibarburu (5 shared papers)Olivier Hermine (4 shared papers)Emiliano Trías (5 shared papers)Valentina Varela (5 shared papers)Lei Zheng (5 shared papers)Mariángeles Kovacs (5 shared papers)
- Journals
- Glia (6 papers)Aging (2 papers)International Journal of Molecular Sciences (2 papers)Scientific Reports (2 papers)Neurotherapeutics (2 papers)
- Partner nations
- United StatesUruguayFrance
In The Last Decade
Ying Si
27 papers receiving 746 citations
Peers
Comparison fields: 5 of 59
- Neurology 232
- Neurology 74
- Molecular Biology 234
- Organic Chemistry 97
- Genetics 24
Countries citing papers authored by Ying Si
This map shows the geographic impact of Ying Si'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 Ying Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Si more than expected).
Fields of papers citing papers by Ying Si
This network shows the impact of papers produced by Ying Si. 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 Ying Si. The network helps show where Ying Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Si, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 115 | |
| 2 | 2005 | 58 | |
| 3 | 2019 | 56 | |
| 4 | 2005 | 46 | |
| 5 | 2015 | 45 | |
| 6 | 2012 | 44 | |
| 7 | 2018 | 41 | |
| 8 | 2017 | 37 | |
| 9 | 2019 | 33 | |
| 10 | 2014 | 31 | |
| 11 | 2010 | 30 | |
| 12 | 2006 | 29 | |
| 13 | 2013 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2021 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2022 | 17 | |
| 18 | 2020 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2022 | 14 |
About Ying Si
Ying Si is a scholar working on Neurology, Neurology, Molecular Biology, Biophysics and Organic Chemistry, having authored 28 papers that have together received 765 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), RNA Research and Splicing (2 papers), Quinazolinone synthesis and applications (2 papers), Muscle Physiology and Disorders (2 papers), Folate and B Vitamins Research (1 paper), Plant Molecular Biology Research (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Neurology (232 citations), Neurology (74 citations), Molecular Biology (234 citations), Organic Chemistry (97 citations) and Genetics (24 citations). Ying Si has collaborated with scholars based in United States, Uruguay and France. Frequent co-authors include Peter H. King, Luis Barbeito, Sofía Ibarburu, Olivier Hermine, Emiliano Trías, Valentina Varela, Lei Zheng, Mariángeles Kovacs, Ivan Cruz Moura and Joseph S. Beckman. Their work appears in journals such as Glia, Aging, International Journal of Molecular Sciences, Scientific Reports and Neurotherapeutics.
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.