Sylvia Chen

2.1k citations
43 papers · 1.7k · h-index 20

Impact in

Papers in

    • Mitochondrial Function and Pathology 6
    • Cancer therapeutics and mechanisms 4
    • Drug Transport and Resistance Mechanisms 3

Sylvia Chen

42 papers receiving 1.6k citations

Peers

Sylvia Chen
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 510
  • Developmental Neuroscience 92
  • Cell Biology 281
  • Neurology 234
  • Developmental and Educational Psychology 161
Replace Lynn A. Hyde with:
Lynn A. Hyde United States
Janet M. Dubinsky United States
Matthew M. Dobbin United States
Alan Yiu Wah Lee Singapore
Daniel M. Fass United States
Christine Saunders United States
Hywel Williams United Kingdom
Reid H. J. Olsen United States
Brenda E. Porter United States
Yoshinobu Goto Japan
Sylvia Chen relative to Lynn A. Hyde United States Lynn A. Hyde's profile →
Citations per field
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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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001270
2 2006189
3 2005168
4 2007119
5 2006116
6 1991116
7 200279
8 198569
9 199860
10 199153
11 200443
12 201236
13 201534
14 200729
15 198929
16 201727
17 199126
18 201126
19 202021
20 201619

About Sylvia Chen

Sylvia Chen is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience, having authored 43 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), Neurobiology of Language and Bilingualism (5 papers), Genetic Neurodegenerative Diseases (5 papers), Cancer therapeutics and mechanisms (4 papers), Reading and Literacy Development (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (510 citations), Developmental Neuroscience (92 citations), Cell Biology (281 citations), Neurology (234 citations) and Developmental and Educational Psychology (161 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, Yunjuan Sun, David A. Greenberg, Rapee Boonplueang, Ferda Yantiri, Julie K. Andersen, Lichuan Yang and Veena Viswanath. Their work appears in journals such as Journal of Neurochemistry, Journal of Neuroscience, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Pharmacogenomics.

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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