An‐Na Chiang

1.2k citations
37 papers · 1.1k · h-index 19

Impact in

Papers in

An‐Na Chiang

37 papers receiving 1k citations

Peers

An‐Na Chiang
Comparison fields: 5 of 86
  • Biochemistry 128
  • Nutrition and Dietetics 172
  • Molecular Medicine 47
  • Neurology 55
  • Clinical Biochemistry 34
Replace Seung Namkoong with:
Seung Namkoong South Korea
Eunjung Kim South Korea
Eric Gumpricht United States
Medha Priyadarshini United States
A Marañón Spain
Sue E. Samson Canada
Suresh T. Mathews United States
Syed Minhaj Uddin Ahmed Bangladesh
Sandra Pesenti France
Theresa Chen United States
An‐Na Chiang relative to Seung Namkoong South Korea Seung Namkoong's profile →
Citations per field
00.5×2×4×6.7×
Seung Namkoong · 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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012136
2 2006123
3 2008112
4 201074
5 201271
6 201851
7 200845
8 199538
9 200134
10 201534
11 201631
12 200628
13 201526
14 201725
15
The risk of coronary artery disease in population of Taiwan is associated with Cys-Ser 311 polymorphism of human paraoxonase (PON)-2 gene.
200224
16 199721
17 201021
18 200820
19 200419
20 201618

About An‐Na Chiang

An‐Na Chiang is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics, Molecular Biology and Genetics, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (8 papers), Natural Antidiabetic Agents Studies (4 papers), Lipoproteins and Cardiovascular Health (3 papers), Bacterial Genetics and Biotechnology (3 papers), Fatty Acid Research and Health (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Natural Compounds in Disease Treatment (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Biochemistry (128 citations), Nutrition and Dietetics (172 citations), Molecular Medicine (47 citations), Neurology (55 citations) and Clinical Biochemistry (34 citations). An‐Na Chiang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tzong‐Shyuan Lee, Shu‐Chen Hsieh, Chun‐Jung Chen, Yu‐Cheng Chang, Su‐Lan Liao, Hung‐I Yeh, Hua‐Lin Wu, Song‐Kun Shyue, Wayne Huey‐Herng Sheu and Yu Ru Kou. Their work appears in journals such as Journal of Cellular Biochemistry, Molecular Nutrition & Food Research, Current Microbiology, PLoS ONE and The Journal of Nutritional Biochemistry.

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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