Ying Si
Impact in
Papers in
-
- RNA Research and Splicing 7
- Muscle Physiology and Disorders 3
- Neurology 13
- Amyotrophic Lateral Sclerosis Research 13
- Neuroinflammation and Neurodegeneration Mechanisms 3
- Co-authors
- Peter H. King (23 shared papers)Fenny Dane (4 shared papers)Sofía Ibarburu (5 shared papers)Valentina Varela (5 shared papers)Mariángeles Kovacs (5 shared papers)Emiliano Trías (5 shared papers)Lei Zheng (5 shared papers)Olivier Hermine (4 shared papers)
- Journals
- Glia (6 papers)Scientific Reports (2 papers)International Journal of Molecular Sciences (2 papers)Euphytica (2 papers)Neurotherapeutics (2 papers)
- Partner nations
- United StatesChinaUruguay
In The Last Decade
Ying Si
39 papers receiving 867 citations
Peers
Comparison fields: 5 of 92
- Neurology 226
- Genetics 141
- Neurology 101
- Molecular Biology 452
- Cancer Research 73
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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 108 | |
| 2 | 2005 | 56 | |
| 3 | 2019 | 49 | |
| 4 | 2005 | 45 | |
| 5 | 2015 | 43 | |
| 6 | 2008 | 42 | |
| 7 | 2012 | 40 | |
| 8 | 2009 | 38 | |
| 9 | 2018 | 37 | |
| 10 | 2017 | 36 | |
| 11 | 2010 | 34 | |
| 12 | 2019 | 32 | |
| 13 | 2006 | 29 | |
| 14 | 2010 | 29 | |
| 15 | 2014 | 29 | |
| 16 | 2013 | 22 | |
| 17 | 2014 | 19 | |
| 18 | 2021 | 17 | |
| 19 | 2021 | 17 | |
| 20 | 2008 | 16 |
About Ying Si
Ying Si is a scholar working on Molecular Biology, Neurology, Genetics, Plant Science and Cancer Research, having authored 43 papers that have together received 878 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (13 papers), RNA Research and Splicing (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Plant Molecular Biology Research (3 papers), Muscle Physiology and Disorders (3 papers), Quinazolinone synthesis and applications (3 papers), Plant Stress Responses and Tolerance (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). The work is most often cited by research in Neurology (226 citations), Genetics (141 citations), Neurology (101 citations), Molecular Biology (452 citations) and Cancer Research (73 citations). Ying Si has collaborated with scholars based in United States, China and Uruguay. Frequent co-authors include Peter H. King, Fenny Dane, Sofía Ibarburu, Valentina Varela, Mariángeles Kovacs, Emiliano Trías, Lei Zheng, Olivier Hermine, Luis Barbeito and Joseph S. Beckman. Their work appears in journals such as Glia, Scientific Reports, International Journal of Molecular Sciences, Euphytica 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.