Pi-Yu Chen

436 citations
10 papers · 345 · h-index 9

Impact in

    • Vibrio bacteria research studies
    • Plant-Microbe Interactions and Immunity
    • Plant Disease Resistance and Genetics
    • Plant Pathogenic Bacteria Studies

Papers in

    • Plant biochemistry and biosynthesis 1
    • Plant-Microbe Interactions and Immunity 4
    • Plant Pathogenic Bacteria Studies 2
    • Plant Disease Resistance and Genetics 1

Pi-Yu Chen

10 papers receiving 343 citations

Peers

Pi-Yu Chen
Comparison fields: 5 of 73
  • Endocrinology 27
  • Plant Science 131
  • Molecular Medicine 15
  • Pharmacology 34
  • Biotechnology 18
Replace Mahloro Hope Serepa‐Dlamini with:
Mahloro Hope Serepa‐Dlamini South Africa
Edyta Đermić Croatia
Sang Hye Ji South Korea
Wenjian Ma China
Josua T. Oberlerchner Austria
Sidra Pervez Pakistan
Éric Ferret France
Jun Won Lee South Korea
Tingheng Zhu China
Payam Ghiaci Sweden
Pi-Yu Chen relative to Mahloro Hope Serepa‐Dlamini South Africa Mahloro Hope Serepa‐Dlamini's profile →
Citations per field
00.5×5.2×
Mahloro Hope Serepa‐Dlamini · 1×
Citations per year

Countries citing papers authored by Pi-Yu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pi-Yu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 201666
2 201859
3 202354
4 201446
5 201639
6 201139
7 201813
8 202212
9 201811
10 20226

About Pi-Yu Chen

Pi-Yu Chen is a scholar working on Molecular Biology, Plant Science, Pollution, Spectroscopy and Pharmacology, having authored 10 papers that have together received 345 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (4 papers), Smart Materials for Construction (2 papers), Plant Pathogenic Bacteria Studies (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Fiber-reinforced polymer composites (1 paper), Plant biochemistry and biosynthesis (1 paper), Plant Disease Resistance and Genetics (1 paper) and Microfluidic and Bio-sensing Technologies (1 paper). The work is most often cited by research in Endocrinology (27 citations), Plant Science (131 citations), Molecular Medicine (15 citations), Pharmacology (34 citations) and Biotechnology (18 citations). Pi-Yu Chen has collaborated with scholars based in Taiwan, China and Iran. Frequent co-authors include Yuliang Yang, Ran Feng, Ji‐Hua Zhu, Ying Xu, Feng-Chia Hsieh, Chih‐Chuang Liaw, Chao-Jen Shih, Ya-Lin Chang, Ying‐Lien Chen and Ming‐Che Shih. Their work appears in journals such as Natural Product Reports, PLoS ONE, Molecules, Polymers and Molecular Plant-Microbe Interactions.

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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