Chi‐Ling Chen

2.6k citations
34 papers · 1.9k · h-index 21

Impact in

Papers in

Chi‐Ling Chen

33 papers receiving 1.9k citations

Peers

Chi‐Ling Chen
Comparison fields: 5 of 112
  • Environmental Chemistry 591
  • Health, Toxicology and Mutagenesis 478
  • Hepatology 160
  • Reproductive Medicine 143
  • Epidemiology 533
Replace Jie Xiao with:
Jie Xiao China
Yuan‐Hung Wang Taiwan
Jonathan N. Hofmann United States
M. Kibriya United States
Jiaqi Yang China
Farzana Jasmine United States
Anne Juuti Finland
Jinhui Li China
Fumihiro Sata Japan
Shugang Li China
Chi‐Ling Chen relative to Jie Xiao China Jie Xiao's profile →
Citations per field
00.5×5×11×
Jie Xiao · 1×
Citations per year

Countries citing papers authored by Chi‐Ling Chen

Since Specialization
Citations

This map shows the geographic impact of Chi‐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 Chi‐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 Chi‐Ling Chen more than expected).

Fields of papers citing papers by Chi‐Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chi‐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 Chi‐Ling Chen Line = papers co-authored together Chi‐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 2002226
2 2006210
3 2002192
4 2007174
5 2005163
6 2003127
7 2010119
8 201078
9 201076
10 201565
11 201456
12 201238
13 201135
14 201635
15 201731
16 201031
17 201029
18 200928
19 200924
20 201122

About Chi‐Ling Chen

Chi‐Ling Chen is a scholar working on Environmental Chemistry, Epidemiology, Health, Toxicology and Mutagenesis, Electrochemistry and Obstetrics and Gynecology, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (8 papers), Heavy Metal Exposure and Toxicity (5 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Hepatitis B Virus Studies (5 papers), Electrochemical Analysis and Applications (3 papers), Heme Oxygenase-1 and Carbon Monoxide (3 papers), Obstructive Sleep Apnea Research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Environmental Chemistry (591 citations), Health, Toxicology and Mutagenesis (478 citations), Hepatology (160 citations), Reproductive Medicine (143 citations) and Epidemiology (533 citations). Chi‐Ling Chen has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chien‐Jen Chen, Hung‐Yi Chiou, Yu‐Mei Hsueh, Meei‐Maan Wu, Wei‐Shiung Yang, Chih‐Hao Wang, Yuan‐Hung Wang, Lee‐Ming Chuang, Mei‐Jou Chen and Yu‐Shih Yang. Their work appears in journals such as Toxicology and Applied Pharmacology, Cancer Epidemiology Biomarkers & Prevention, Antiviral Therapy, Liver Cancer and PLoS ONE.

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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