Fang-Yang Wu

447 citations
19 papers · 372 · h-index 11

Impact in

Papers in

    • Glutathione Transferases and Polymorphisms 6
    • Epigenetics and DNA Methylation 2
    • Genomics, phytochemicals, and oxidative stress 2
    • Adipokines, Inflammation, and Metabolic Diseases 4

Fang-Yang Wu

19 papers receiving 364 citations

Peers

Fang-Yang Wu
Comparison fields: 5 of 92
  • Health, Toxicology and Mutagenesis 98
  • Cancer Research 78
  • Geriatrics and Gerontology 9
  • Pollution 26
  • Molecular Biology 142
Replace Chenming Wang with:
Chenming Wang China
Defu Li China
Monika Kosacka Poland
Caroline Lourenço de Lima Brazil
Sana Khan United States
Zhu-Xia Tan China
Jacqui Marzec United States
Tianqi Tan China
Ramzi Lakhdar Tunisia
Fang-Yang Wu relative to Chenming Wang China Chenming Wang's profile →
Citations per field
00.5×10×17×
Chenming Wang · 1×
Citations per year

Countries citing papers authored by Fang-Yang Wu

Since Specialization
Citations

This map shows the geographic impact of Fang-Yang Wu'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 Fang-Yang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang-Yang Wu more than expected).

Fields of papers citing papers by Fang-Yang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Yang Wu. 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 Fang-Yang Wu. The network helps show where Fang-Yang Wu may publish in the future.

Co-authors

The 25 scholars most cited alongside Fang-Yang Wu, 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 Fang-Yang Wu Line = papers co-authored together Fang-Yang Wu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 200759
2 200838
3 200032
4 200729
5 200229
6 201527
7 200726
8 200124
9 201423
10 201622
11 201315
12 20069
13 20049
14 20169
15 20137
16 20205
17 20173
18 20193
19 20093

About Fang-Yang Wu

Fang-Yang Wu is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Health, Toxicology and Mutagenesis and Cardiology and Cardiovascular Medicine, having authored 19 papers that have together received 372 indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (6 papers), Carcinogens and Genotoxicity Assessment (5 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Epigenetics and DNA Methylation (2 papers), Cardiovascular Health and Disease Prevention (2 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers), Exercise and Physiological Responses (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (98 citations), Cancer Research (78 citations), Geriatrics and Gerontology (9 citations), Pollution (26 citations) and Molecular Biology (142 citations). Fang-Yang Wu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Hsien‐Wen Kuo, Jim‐Shoung Lai, Chiu-Shong Liu, Tsai‐Chung Li, Chih-Hsueh Lin, Cheng‐Chieh Lin, Chuan‐Wei Yang, Chia-Ing Li, Dar‐Ren Chen and Yi-Ju Lee. Their work appears in journals such as PLoS ONE, The Science of The Total Environment, Mutation Research/Genetic Toxicology and Environmental Mutagenesis, Journal of Hazardous Materials and Scientific Reports.

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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