An‐Na Chiang

39 papers receiving 995 citations

Peers

An‐Na Chiang
Comparison fields: 5 of 91
  • Biochemistry 130
  • Nutrition and Dietetics 182
  • Biochemistry 75
  • Molecular Medicine 39
  • Neurology 64
Replace Yong-Kwan Cheong with:
Yong-Kwan Cheong South Korea
Paola Gamba Italy
Mun Seog Chang South Korea
Stéphanie Carnésecchi Switzerland
R Sotníková Slovakia
Simona Gargiulo Italy
Shohda A. El‐Maraghy Egypt
Alireza Shirpoor Iran
Xiaoli Ru China
Eun Sil Kang South Korea
An‐Na Chiang relative to Yong-Kwan Cheong South Korea Yong-Kwan Cheong's profile →
Citations per field
00.5×1.5×2.4×
Yong-Kwan Cheong · 1×
Citations per year

Countries citing papers authored by An‐Na Chiang

Since Specialization
Citations

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

Fields of papers citing papers by An‐Na Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012129
2 2006116
3 2008111
4 201070
5 201261
6 201849
7 200842
8 200132
9 199530
10 201629
11 201529
12 200627
13 201524
14 201724
15 199722
16
The risk of coronary artery disease in population of Taiwan is associated with Cys-Ser 311 polymorphism of human paraoxonase (PON)-2 gene.
200222
17 201021
18 200419
19 200818
20 201617

About An‐Na Chiang

An‐Na Chiang is a scholar working on Immunology and Allergy, Applied Microbiology and Biotechnology, Cancer Research, Biochemistry and Surgery, having authored 39 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Cancer, Lipids, and Metabolism (5 papers), Cell Adhesion Molecules Research (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Drug Transport and Resistance Mechanisms (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Fatty Acid Research and Health (3 papers). The work is most often cited by research in Biochemistry (130 citations), Nutrition and Dietetics (182 citations), Biochemistry (75 citations), Molecular Medicine (39 citations) and Neurology (64 citations). An‐Na Chiang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Tzong‐Shyuan Lee, Shu‐Chen Hsieh, Chun‐Jung Chen, Yu‐Te Yeh, Su‐Lan Liao, Yu‐Cheng Chang, C.S. Chu, Hung‐I Yeh, Song‐Kun Shyue and Hua‐Lin Wu. Their work appears in journals such as Journal of Cellular Biochemistry, Molecular Nutrition & Food Research, Current Microbiology, The Journal of Nutritional Biochemistry 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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