Yi-Pei Chen

625 citations
19 papers · 394 · h-index 10

Impact in

    • Microbial Metabolism and Applications
    • Enzyme Production and Characterization
  • Microbiology top 10%
    • Reproductive tract infections research

Papers in

Yi-Pei Chen

17 papers receiving 387 citations

Peers

Yi-Pei Chen
Comparison fields: 5 of 75
  • Biotechnology 169
  • Microbiology 63
  • Pharmacology 128
  • Pharmacology 43
  • Parasitology 30
Replace Renee Lay Hong Lim with:
Renee Lay Hong Lim Malaysia
Yina Wang China
Vanessa Danielle Menjon Müller Brazil
Stephen Carberry Ireland
Zenglei Wang China
Reinaldo Barros Geraldo Brazil
Sayumi Yoshida Japan
Sabrina S. Teixeira Brazil
Ismael Pretto Sauter Brazil
Arielle Butts United States
Yi-Pei Chen relative to Renee Lay Hong Lim Malaysia Renee Lay Hong Lim's profile →
Citations per field
00.5×10.5×
Renee Lay Hong Lim · 1×
Citations per year

Countries citing papers authored by Yi-Pei Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Pei Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200879
2 200957
3 200853
4 201844
5 201636
6 201727
7
201923
8 201922
9 202218
10 20229
11 20188
12 20216
13 20244
14 20084
15 20242
16 20251
17 20171
18 20250
19 20190

About Yi-Pei Chen

Yi-Pei Chen is a scholar working on Pharmacology, Artificial Intelligence, Biotechnology, Molecular Biology and Immunology, having authored 19 papers that have together received 394 indexed citations. Recurring topics across this work include Microbial Metabolism and Applications (4 papers), Microbial Natural Products and Biosynthesis (4 papers), Topic Modeling (3 papers), Reproductive System and Pregnancy (2 papers), Sentiment Analysis and Opinion Mining (2 papers), Fungal Biology and Applications (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Biotechnology (169 citations), Microbiology (63 citations), Pharmacology (128 citations), Pharmacology (43 citations) and Parasitology (30 citations). Yi-Pei Chen has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include Ching‐Ping Tseng, Gwo‐Fang Yuan, Li-Ling Liaw, Patricia J. Johnson, Weiyi Wang, Wei‐Lun Chang, Ming‐Der Wu, Chunlin Wang, Yu-Shan Lin and Sung‐Yuan Hsieh. Their work appears in journals such as Journal of Agricultural and Food Chemistry, mBio, Bioscience Biotechnology and Biochemistry, PLoS neglected tropical diseases and Scientific Reports.

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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