Sylvia Chen

49 papers receiving 1.8k citations

Peers

Sylvia Chen
Comparison fields: 5 of 110
  • Developmental Neuroscience 76
  • Cellular and Molecular Neuroscience 296
  • Neurology 132
  • Neurology 216
  • Pharmacology 135
Replace Katsuya Yamada with:
Katsuya Yamada Japan
Erwin Alexander van Vliet Netherlands
Thomas Sander Germany
Federico Bolognani United States
Sonja Horstmann Germany
Gaia Novarino Austria
Brenda E. Porter United States
Hiroshi Mizuma Japan
Guido Francesco Fumagalli Italy
Sylvia Chen relative to Katsuya Yamada Japan Katsuya Yamada's profile →
Citations per field
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Katsuya Yamada · 1×
Citations per year

Countries citing papers authored by Sylvia Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Sylvia Chen Line = papers co-authored together Sylvia Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001275
2 2006200
3 2005183
4 2007124
5 2006123
6 1991120
7 200288
8 198577
9 199862
10 199156
11 200446
12 199538
13 201238
14 201537
15 201734
16 198931
17 200729
18 201129
19 199127
20 202025

About Sylvia Chen

Sylvia Chen is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Neurology, Cognitive Neuroscience and Cell Biology, having authored 50 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Neurobiology of Language and Bilingualism (6 papers), Genetic Neurodegenerative Diseases (5 papers), Drug Transport and Resistance Mechanisms (3 papers), Lipid Membrane Structure and Behavior (3 papers), Ion Transport and Channel Regulation (3 papers), Neurological Disorders and Treatments (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (2 papers). The work is most often cited by research in Developmental Neuroscience (76 citations), Cellular and Molecular Neuroscience (296 citations), Neurology (132 citations), Neurology (216 citations) and Pharmacology (135 citations). Sylvia Chen has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Lisa Ellerby, Ovid J. L. Tzeng, Kunlin Jin, David A. Greenberg, Yunjuan Sun, Rapee Boonplueang, Fang Feng Stevenson, Veena Viswanath, M. Flint Beal and Lichuan Yang. Their work appears in journals such as Journal of Neurochemistry, Journal of Neuroscience, Journal of the American Chemical Society, Brain and Language and Pharmacogenetics and Genomics.

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.

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