Yun‐Ru Chen

7.4k citations
166 papers · 5.5k · h-index 41

Impact in

  • Physiology top 2%
    • Alzheimer's disease research and treatments
    • Insect symbiosis and bacterial influences

Papers in

    • Alzheimer's disease research and treatments 28
    • Prion Diseases and Protein Misfolding 10
    • Insect Resistance and Genetics 9

Yun‐Ru Chen

160 papers receiving 5.4k citations

Peers

Yun‐Ru Chen
Comparison fields: 5 of 155
  • Physiology 1.2k
  • Insect Science 596
  • Neurology 599
  • Molecular Biology 2.7k
  • Biotechnology 283
Replace Sean T. Sweeney with:
Sean T. Sweeney United Kingdom
Kazuyuki Kuchitsu Japan
Masamitsu Yamaguchi Japan
Jie Shen China
Michiaki Yamashita Japan
Stéphane D. Lemaire France
Davide Malagoli Italy
Michael Y. Sherman United States
Yih‐Cherng Liou Singapore
Andreas Bracher Germany
Yun‐Ru Chen relative to Sean T. Sweeney United Kingdom Sean T. Sweeney's profile →
Citations per field
00.5×1.5×2.0×
Sean T. Sweeney · 1×
Citations per year

Countries citing papers authored by Yun‐Ru Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yun‐Ru Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012295
2 2011186
3 2006185
4 2014171
5 2014170
6 2015158
7 2013149
8 2014146
9 2016138
10 2018126
11 2018120
12 2016113
13 2012105
14 2015104
15 201395
16 201993
17 201992
18 201585
19 201482
20 201982

About Yun‐Ru Chen

Yun‐Ru Chen is a scholar working on Physiology, Molecular Biology, Immunology, Neurology and Cellular and Molecular Neuroscience, having authored 166 papers that have together received 5.5k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (28 papers), Amyotrophic Lateral Sclerosis Research (11 papers), Invertebrate Immune Response Mechanisms (10 papers), Prion Diseases and Protein Misfolding (10 papers), Insect Resistance and Genetics (9 papers), Antimicrobial Peptides and Activities (9 papers), Neurobiology and Insect Physiology Research (8 papers) and Cancer, Hypoxia, and Metabolism (7 papers). The work is most often cited by research in Physiology (1.2k citations), Insect Science (596 citations), Neurology (599 citations), Molecular Biology (2.7k citations) and Biotechnology (283 citations). Yun‐Ru Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Jen Chang, Gary W. Blissard, Charles G. Glabe, David Kong Ann, Yi‐Hung Liao, Yuji Yoshiike, Y. C. Chang, Irene Han-Juo Cheng, 曹小龙 and Haobo Jiang. Their work appears in journals such as Insect Biochemistry and Molecular Biology, PLoS ONE, Journal of Biological Chemistry, Scientific Reports and Journal of Virology.

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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