Sylvia Chen
Impact in
-
- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
- Developmental Neuroscience top 5%
Papers in
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- Mitochondrial Function and Pathology 8
- Cancer therapeutics and mechanisms 3
- Oncology 9
- Co-authors
- Lisa Ellerby (8 shared papers)Ovid J. L. Tzeng (4 shared papers)David A. Greenberg (3 shared papers)Kunlin Jin (3 shared papers)Yunjuan Sun (3 shared papers)Veena Viswanath (1 shared paper)Yongqin Wu (1 shared paper)Rapee Boonplueang (1 shared paper)
- Journals
- Journal of Neuroscience (3 papers)Journal of Neurochemistry (3 papers)The Pharmacogenomics Journal (2 papers)Journal of the American Chemical Society (2 papers)Brain and Language (2 papers)
- Partner nations
- United StatesSingaporeCanada
In The Last Decade
Sylvia Chen
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 126
- Cellular and Molecular Neuroscience 539
- Developmental Neuroscience 97
- Neurology 240
- Cell Biology 276
- Molecular Biology 853
Countries citing papers authored by Sylvia Chen
This map shows the geographic impact of Sylvia Chen'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 Sylvia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvia Chen more than expected).
Fields of papers citing papers by Sylvia Chen
This network shows the impact of papers produced by Sylvia Chen. 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 Sylvia Chen. The network helps show where Sylvia Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvia Chen, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 280 | |
| 2 | 2006 | 197 | |
| 3 | 2005 | 182 | |
| 4 | 1991 | 125 | |
| 5 | 2007 | 125 | |
| 6 | 2006 | 122 | |
| 7 | 2002 | 85 | |
| 8 | 1985 | 78 | |
| 9 | 1998 | 63 | |
| 10 | 1991 | 56 | |
| 11 | 2004 | 47 | |
| 12 | 2012 | 38 | |
| 13 | 1995 | 38 | |
| 14 | 2015 | 34 | |
| 15 | 2017 | 32 | |
| 16 | 1989 | 31 | |
| 17 | 2007 | 29 | |
| 18 | 2011 | 29 | |
| 19 | 1991 | 28 | |
| 20 | 1997 | 22 |
About Sylvia Chen
Sylvia Chen is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), Neurobiology of Language and Bilingualism (6 papers), Genetic Neurodegenerative Diseases (5 papers), Reading and Literacy Development (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Catalytic C–H Functionalization Methods (3 papers) and Cancer therapeutics and mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (539 citations), Developmental Neuroscience (97 citations), Neurology (240 citations), Cell Biology (276 citations) and Molecular Biology (853 citations). Sylvia Chen has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Lisa Ellerby, Ovid J. L. Tzeng, David A. Greenberg, Kunlin Jin, Yunjuan Sun, Veena Viswanath, Yongqin Wu, Rapee Boonplueang, Ferda Yantiri and M. Flint Beal. Their work appears in journals such as Journal of Neuroscience, Journal of Neurochemistry, The Pharmacogenomics Journal, Journal of the American Chemical Society and Brain and Language.
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.