Pei‐Ni Chen

115 papers receiving 4.0k citations

Peers

Pei‐Ni Chen
Comparison fields: 5 of 117
  • Biochemistry 676
  • Applied Microbiology and Biotechnology 103
  • Toxicology 156
  • Cancer Research 628
  • Complementary and alternative medicine 335
Replace Shu‐Chen Chu with:
Shu‐Chen Chu Taiwan
Yih‐Shou Hsieh Taiwan
Tin Oo Khor United States
Deeba N. Syed United States
Syed Musthapa Meeran India
Alena Líšková Slovakia
Imtiaz A. Siddiqui United States
Joydeb Kumar Kundu South Korea
Soo‐Jin Jeong South Korea
Seong‐Ho Lee United States
Pei‐Ni Chen relative to Shu‐Chen Chu Taiwan Shu‐Chen Chu's profile →
Citations per field
00.5×1.5×2.1×
Shu‐Chen Chu · 1×
Citations per year

Countries citing papers authored by Pei‐Ni Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pei‐Ni Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005376
2 2005239
3 2006217
4 2005167
5 2004161
6 2013117
7 2014108
8 201296
9 200792
10 201891
11 200789
12 201188
13 201786
14 201481
15 201078
16 201674
17 201873
18
Effect of solvent fractions of kombucha tea on viability and invasiveness of cancer cells—Characterization of dimethyl 2-(2-hydroxy-2-methoxypropylidine) malonate and vitexin
201164
19 202050
20 201549

About Pei‐Ni Chen

Pei‐Ni Chen is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Oncology and Pathology and Forensic Medicine, having authored 117 papers that have together received 4.1k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (21 papers), Protease and Inhibitor Mechanisms (15 papers), Phytochemical compounds biological activities (10 papers), Biochemical Analysis and Sensing Techniques (10 papers), Cell Adhesion Molecules Research (9 papers), Cancer Cells and Metastasis (8 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Cell death mechanisms and regulation (7 papers). The work is most often cited by research in Biochemistry (676 citations), Applied Microbiology and Biotechnology (103 citations), Toxicology (156 citations), Cancer Research (628 citations) and Complementary and alternative medicine (335 citations). Pei‐Ni Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shu‐Chen Chu, Yih‐Shou Hsieh, Hui‐Ling Chiou, Shun‐Fa Yang, Wu‐Hsien Kuo, Chui-Liang Chiang, Yih‐Shou Hsieh, Cheng‐Chia Yu, Yi‐Hsien Hsieh and Chiao‐Wen Lin. Their work appears in journals such as Environmental Toxicology, Chemico-Biological Interactions, The American Journal of Chinese Medicine, International Journal of Medical Sciences and Nutrition and Cancer.

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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