Pei-Hsin Chen

21 papers receiving 204 citations

Peers

Pei-Hsin Chen
Comparison fields: 5 of 75
  • Reproductive Medicine 47
  • Health, Toxicology and Mutagenesis 45
  • Pollution 21
  • Public Health, Environmental and Occupational Health 50
  • Pediatrics, Perinatology and Child Health 32
Replace Sohair K. Sayed with:
Sohair K. Sayed Egypt
Zhangye Xu China
Anastasios Potiris Greece
Juan M. Castro Argentina
Haining Luo China
Antonio Pereira‐Vega Spain
Emre Başer Türkiye
Dimitrios Zygouris Greece
Felice Giordano Italy
Katarzyna Piątek Poland
Pei-Hsin Chen relative to Sohair K. Sayed Egypt Sohair K. Sayed's profile →
Citations per field
00.5×3.5×
Sohair K. Sayed · 1×
Citations per year

Countries citing papers authored by Pei-Hsin Chen

Since Specialization
Citations

This map shows the geographic impact of Pei-Hsin 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-Hsin 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-Hsin Chen more than expected).

Fields of papers citing papers by Pei-Hsin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200344
2 201932
3 202030
4 197415
5 201914
6 200811
7 20218
8 20218
9 20208
10 20178
11 20207
12 20207
13 20195
14 20233
15 20232
16 20232
17 20202
18 20231
19 20241
20 20221

About Pei-Hsin Chen

Pei-Hsin Chen is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Physiology, Epidemiology and Pharmacology, having authored 24 papers that have together received 210 indexed citations. Recurring topics across this work include Air Quality and Health Impacts (5 papers), Epigenetics and DNA Methylation (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet and metabolism studies (2 papers), Smoking Behavior and Cessation (2 papers), Coffee research and impacts (2 papers), Cancer Treatment and Pharmacology (1 paper) and Diabetes Management and Research (1 paper). The work is most often cited by research in Reproductive Medicine (47 citations), Health, Toxicology and Mutagenesis (45 citations), Pollution (21 citations), Public Health, Environmental and Occupational Health (50 citations) and Pediatrics, Perinatology and Child Health (32 citations). Pei-Hsin Chen has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Yung‐Po Liaw, Disline Manli Tantoh, Oswald Ndi Nfor, Shu‐Yi Hsu, Yu‐Hung Lin, Lee‐Wen Huang, Yieh‐Loong Tsai, Jiann‐Loung Hwang, Yi‐Ching Liaw and Ming‐Chi Wu. Their work appears in journals such as Clinical Epigenetics, Medicine, Environmental Health and Preventive Medicine, Scientific Reports and Nutrition & Metabolism.

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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