Guang‐Wen Lien

1.6k citations
21 papers · 1.4k · h-index 18

Impact in

Papers in

Guang‐Wen Lien

21 papers receiving 1.3k citations

Peers

Guang‐Wen Lien
Comparison fields: 5 of 93
  • Environmental Chemistry 815
  • Health, Toxicology and Mutagenesis 647
  • Pollution 165
  • Obstetrics and Gynecology 66
  • Pediatrics, Perinatology and Child Health 139
Replace Cariton Kubwabo with:
Cariton Kubwabo Canada
Alain LeBlanc Canada
Bruno Veyrand France
Jessica L. Reiner United States
Nicola Evans United States
Million B. Woudneh Canada
Sonia Dagnino France
Hongxiu Liu China
Marc-André Verner Canada
Fangfang Chen China
Guang‐Wen Lien relative to Cariton Kubwabo Canada Cariton Kubwabo's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guang‐Wen Lien

Since Specialization
Citations

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

Fields of papers citing papers by Guang‐Wen Lien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang‐Wen Lien. 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 Guang‐Wen Lien. The network helps show where Guang‐Wen Lien may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 2012152
3 2014133
4 2011108
5 201397
6 201383
7 200877
8 201676
9 201569
10 201265
11 201155
12 201154
13 201751
14 201337
15 200733
16 200533
17 201332
18 200627
19 202112
20 20187

About Guang‐Wen Lien

Guang‐Wen Lien is a scholar working on Environmental Chemistry, Health, Toxicology and Mutagenesis, Pollution, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Per- and polyfluoroalkyl substances research (13 papers), Effects and risks of endocrine disrupting chemicals (6 papers), Toxic Organic Pollutants Impact (4 papers), Chemical Analysis and Environmental Impact (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (2 papers), Microplastics and Plastic Pollution (1 paper), Reproductive biology and impacts on aquatic species (1 paper) and Insurance, Mortality, Demography, Risk Management (1 paper). The work is most often cited by research in Environmental Chemistry (815 citations), Health, Toxicology and Mutagenesis (647 citations), Pollution (165 citations), Obstetrics and Gynecology (66 citations) and Pediatrics, Perinatology and Child Health (139 citations). Guang‐Wen Lien has collaborated with scholars based in Taiwan, United States and Singapore. Frequent co-authors include Pau‐Chung Chen, C. Chen, Wu‐Shiun Hsieh, Gen‐Shuh Wang, Ta‐Chen Su, Yi‐Ning Su, Eun‐Hee Ha, Mei-Huei Chen, Hsiu‐Wei Cheng and Ying‐Hsuan Lin. Their work appears in journals such as Journal of Hazardous Materials, Chemosphere, Epidemiology, Environmental Pollution and International Journal of Environmental Research and Public Health.

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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