Fu‐An Chen

81 papers receiving 1.7k citations

Peers

Fu‐An Chen
Comparison fields: 5 of 125
  • Health, Toxicology and Mutagenesis 333
  • Molecular Medicine 78
  • Rehabilitation 96
  • Biochemistry 85
  • Pollution 168
Replace Rudolf Štětina with:
Rudolf Štětina Czechia
László Góth Hungary
Daniel Junqueira Dorta Brazil
Eduardo Madrigal‐Bujaidar Mexico
Krishnendu Sinha India
Wei Zhou China
Donatella Fedeli Italy
Hande Gürer-Orhan Türkiye
Phaniendra Alugoju India
Ratan Singh Ray India
Fu‐An Chen relative to Rudolf Štětina Czechia Rudolf Štětina's profile →
Citations per field
00.5×2.8×
Rudolf Štětina · 1×
Citations per year

Countries citing papers authored by Fu‐An Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fu‐An Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007136
2 2015130
3 201680
4 201069
5 201360
6 202059
7 200956
8 201956
9 201352
10 201051
11 201449
12 200947
13 201845
14 201745
15 201642
16 201641
17 201641
18 200538
19 201836
20 200930

About Fu‐An Chen

Fu‐An Chen is a scholar working on Molecular Biology, Pharmacology, Health, Toxicology and Mutagenesis, Analytical Chemistry and Plant Science, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (14 papers), Toxic Organic Pollutants Impact (11 papers), Analytical Chemistry and Chromatography (7 papers), Analytical Methods in Pharmaceuticals (7 papers), Bioactive Compounds and Antitumor Agents (6 papers), Ion channel regulation and function (6 papers), Neuroscience and Neuropharmacology Research (5 papers) and Ion Channels and Receptors (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (333 citations), Molecular Medicine (78 citations), Rehabilitation (96 citations), Biochemistry (85 citations) and Pollution (168 citations). Fu‐An Chen has collaborated with scholars based in Taiwan, United States and Philippines. Frequent co-authors include Jai‐Sing Yang, Minna J. Hsu, Govindasamy Agoramoorthy, Chi‐Cheng Lu, Daih‐Huang Kuo, How‐Ran Chao, Pochuen Shieh, Chi‐Chang Huang, Chi‐Ting Horng and Gou-Ping Chang-Chien. Their work appears in journals such as Journal of Food and Drug Analysis, Molecules, International Journal of Hygiene and Environmental Health, Journal of Natural Products and Nutrients.

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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