Siyan Chen

1.4k citations
49 papers · 895 · h-index 14

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
  • Pharmacology top 10%
    • Cholinesterase and Neurodegenerative Diseases
    • Berberine and alkaloids research

Papers in

    • Peroxisome Proliferator-Activated Receptors 2
    • Parkinson's Disease Mechanisms and Treatments 5
    • Neurological disorders and treatments 3

Siyan Chen

41 papers receiving 883 citations

Peers

Siyan Chen
Comparison fields: 5 of 100
  • Neurology 195
  • Neurology 67
  • Pharmacology 132
  • Cancer Research 99
  • Biological Psychiatry 16
Replace Senthilkumar Krishnamoorthi with:
Senthilkumar Krishnamoorthi Hong Kong
Cheng Peng China
Jae‐Sun Choi South Korea
Junxia Xie China
Feixue Wang China
Morgayn I. Read New Zealand
Xinyue Qin China
Amit Khairnar India
Benjamin Chun‐Kit Tong Hong Kong
Siyan Chen relative to Senthilkumar Krishnamoorthi Hong Kong Senthilkumar Krishnamoorthi's profile →
Citations per field
00.5×6.9×
Senthilkumar Krishnamoorthi · 1×
Citations per year

Countries citing papers authored by Siyan Chen

Since Specialization
Citations

This map shows the geographic impact of Siyan 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 Siyan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siyan Chen more than expected).

Fields of papers citing papers by Siyan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siyan 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 Siyan Chen. The network helps show where Siyan Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Siyan 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 Siyan Chen Line = papers co-authored together Siyan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017145
2 2018113
3 2021104
4 201191
5 202163
6 201952
7 202026
8 202121
9 201821
10 202117
11 201816
12 201615
13 201415
14 202213
15 201913
16 201813
17 201913
18 201812
19 202411
20 201411

About Siyan Chen

Siyan Chen is a scholar working on Molecular Biology, Neurology, Epidemiology, Cellular and Molecular Neuroscience and Immunology, having authored 49 papers that have together received 895 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (5 papers), Parkinson's Disease Mechanisms and Treatments (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neurological disorders and treatments (3 papers), Air Quality and Health Impacts (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Electrochemical Analysis and Applications (2 papers) and Per- and polyfluoroalkyl substances research (2 papers). The work is most often cited by research in Neurology (195 citations), Neurology (67 citations), Pharmacology (132 citations), Cancer Research (99 citations) and Biological Psychiatry (16 citations). Siyan Chen has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Jincai He, Qiong Liu, Min Huang, Chenglong Xie, Yi Guo, Yubin Liang, Xin Jiang, Wenwen Wang, Haijun He and Yingying Gu. Their work appears in journals such as Frontiers in Neurology, Frontiers in Aging Neuroscience, Journal of Stroke and Cerebrovascular Diseases, Brain Research and Aging.

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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