Tzu‐Ling Chen

30 papers receiving 478 citations

Peers

Tzu‐Ling Chen
Comparison fields: 5 of 116
  • Aging 16
  • Clinical Biochemistry 62
  • Health, Toxicology and Mutagenesis 85
  • Environmental Engineering 59
  • Nephrology 26
Replace Letizia Trevisi with:
Letizia Trevisi United States
Nicky Pieters Belgium
Marco Sánchez-Guerra Mexico
Dankang Li China
Griffith Bell United States
Mingming Pan China
Pei Yu China
Huan Xu China
Dylan Thomas United States
Tzu‐Ling Chen relative to Letizia Trevisi United States Letizia Trevisi's profile →
Citations per field
00.5×3.9×
Letizia Trevisi · 1×
Citations per year

Countries citing papers authored by Tzu‐Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202144
2 201040
3 200637
4 200535
5 201734
6 202028
7 200527
8 200226
9 201224
10 202123
11 200222
12 201919
13 201518
14 200817
15 200517
16 200417
17 202012
18 201511
19 201810
20 20106

About Tzu‐Ling Chen

Tzu‐Ling Chen is a scholar working on Molecular Biology, Epidemiology, Public Health, Environmental and Occupational Health, Global and Planetary Change and Surgery, having authored 34 papers that have together received 485 indexed citations. Recurring topics across this work include Breastfeeding Practices and Influences (6 papers), Mitochondrial Function and Pathology (6 papers), Gestational Diabetes Research and Management (4 papers), Maternal Mental Health During Pregnancy and Postpartum (4 papers), Metabolism and Genetic Disorders (4 papers), Child Nutrition and Feeding Issues (3 papers), Land Use and Ecosystem Services (3 papers) and Birth, Development, and Health (3 papers). The work is most often cited by research in Aging (16 citations), Clinical Biochemistry (62 citations), Health, Toxicology and Mutagenesis (85 citations), Environmental Engineering (59 citations) and Nephrology (26 citations). Tzu‐Ling Chen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Yau‐Huei Wei, Cheng-Feng Lee, Li‐Yin Chien, Yin-Hao Chiu, Chen‐Jei Tai, Hsueh‐Sheng Chang, Tsu‐Kung Lin, Yao‐Chung Chuang, Pei‐Wen Wang and Shang‐Der Chen. Their work appears in journals such as Sustainability, Annals of the New York Academy of Sciences, Nutrients, Journal of Biomedical Science and Journal of Human Lactation.

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.

Explore authors with similar magnitude of impact