Pei‐Fen Chen

46 papers receiving 778 citations

Peers

Pei‐Fen Chen
Comparison fields: 5 of 125
  • Geriatrics and Gerontology 72
  • Cardiology and Cardiovascular Medicine 105
  • Critical Care and Intensive Care Medicine 21
  • Immunology 88
  • Gastroenterology 20
Replace Liang Huang with:
Liang Huang China
Yu‐Wen Chen Taiwan
Zuheng Liu China
Minela Aida Maranducă Romania
Mingshi Yang China
Zhiwu Hong China
Sibei Tao China
John Michael Gaziano United States
Antonio Pérez de la Cruz Spain
Yoshitaka Fukuzawa Japan
Pei‐Fen Chen relative to Liang Huang China Liang Huang's profile →
Citations per field
00.5×1.5×1.9×
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Citations per year

Countries citing papers authored by Pei‐Fen Chen

Since Specialization
Citations

This map shows the geographic impact of Pei‐Fen 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‐Fen 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‐Fen Chen more than expected).

Fields of papers citing papers by Pei‐Fen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018103
2 201484
3 201046
4 200539
5 200935
6 201334
7 200930
8 201127
9 201027
10 201326
11 202225
12 202223
13 202223
14 201119
15 202219
16 201317
17 202016
18 201315
19 201115
20 200714

About Pei‐Fen Chen

Pei‐Fen Chen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine, Geriatrics and Gerontology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 793 indexed citations. Recurring topics across this work include Sirtuins and Resveratrol in Medicine (4 papers), Tea Polyphenols and Effects (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Smoking Behavior and Cessation (2 papers), Air Quality and Health Impacts (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Geriatrics and Gerontology (72 citations), Cardiology and Cardiovascular Medicine (105 citations), Critical Care and Intensive Care Medicine (21 citations), Immunology (88 citations) and Gastroenterology (20 citations). Pei‐Fen Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yi‐Wen Tsai, I‐Chieh Chen, Hung‐Che Chiang, Wei‐Fan Chiang, Weng-Foung Huang, Fei‐Yuan Hsiao, Yu-Wen Wen, Yubiao Guo, Xinyan Huang and Weiping Tan. Their work appears in journals such as Pharmacoepidemiology and Drug Safety, Molecular Cancer, Foods, Journal of Proteome Research and Emerging Microbes & Infections.

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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