Fang-Yang Wu

447 total citations
19 papers, 372 citations indexed

About

Fang-Yang Wu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Fang-Yang Wu has authored 19 papers receiving a total of 372 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Epidemiology and 5 papers in Cancer Research. Recurrent topics in Fang-Yang Wu's work include Glutathione Transferases and Polymorphisms (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Fang-Yang Wu is often cited by papers focused on Glutathione Transferases and Polymorphisms (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). Fang-Yang Wu collaborates with scholars based in Taiwan and United States. Fang-Yang Wu's co-authors include Hsien‐Wen Kuo, Jim‐Shoung Lai, Cheng‐Chieh Lin, Chih-Hsueh Lin, Chuan‐Wei Yang, Tsai‐Chung Li, Chiu-Shong Liu, Chia-Ing Li, Dar‐Ren Chen and Yi-Ju Lee and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Journal of Hazardous Materials.

In The Last Decade

Fang-Yang Wu

19 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang-Yang Wu Taiwan 11 142 98 78 52 29 19 372
Nai‐Chieh Y. You United States 12 178 1.3× 131 1.3× 60 0.8× 47 0.9× 47 1.6× 16 532
Maggie M. Ramzy Egypt 11 100 0.7× 91 0.9× 46 0.6× 21 0.4× 29 1.0× 19 337
Cheong-Sik Kim South Korea 10 77 0.5× 134 1.4× 61 0.8× 57 1.1× 67 2.3× 16 465
Ming Ming Teh Singapore 12 236 1.7× 56 0.6× 79 1.0× 65 1.3× 57 2.0× 31 635
Chenming Wang China 15 106 0.7× 160 1.6× 41 0.5× 55 1.1× 21 0.7× 38 498
Mariana Salgado‐Bustamante Mexico 14 242 1.7× 114 1.2× 129 1.7× 26 0.5× 18 0.6× 34 691
Yasser Al‐Sarraj Qatar 14 155 1.1× 132 1.3× 50 0.6× 26 0.5× 91 3.1× 32 518
Marcin Słojewski Poland 16 177 1.2× 55 0.6× 29 0.4× 78 1.5× 44 1.5× 83 746
Sanjay Gupta India 11 124 0.9× 62 0.6× 108 1.4× 37 0.7× 17 0.6× 28 378

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-authorship network of co-authors of Fang-Yang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Yang Wu. A scholar is included among the top collaborators of Fang-Yang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fang-Yang Wu. Fang-Yang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Wu, Fang-Yang, Chia-Ing Li, Chiu-Shong Liu, et al.. (2020). Evaluation of single nucleotide polymorphisms in 6 candidate genes and carotid intima-media thickness in community-dwelling residents. PLoS ONE. 15(3). e0230715–e0230715. 5 indexed citations
2.
Li, Chia-Ing, Fang-Yang Wu, Chuan‐Wei Yang, et al.. (2019). Important gene–gene interaction of TNF-α and VDR on osteoporosis in community-dwelling elders. PLoS ONE. 14(12). e0226973–e0226973. 3 indexed citations
3.
Liu, Chiu-Shong, Tsai‐Chung Li, Chia‐Ing Li, et al.. (2017). Gene–physical activity interactions in lower extremity performance: inflammatory genes CRP, TNF-α, and LTA in community-dwelling elders. Scientific Reports. 7(1). 3585–3585. 3 indexed citations
4.
Lin, Cheng‐Chieh, Tsai‐Chung Li, Chiu-Shong Liu, et al.. (2016). Associations of TNF-α and IL-6 polymorphisms with osteoporosis through joint effects and interactions with LEPR gene in Taiwan: Taichung Community Health Study for Elders (TCHS-E). Molecular Biology Reports. 43(10). 1179–1191. 22 indexed citations
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Lin, Cheng‐Chieh, Fang-Yang Wu, Chia-Ing Li, et al.. (2014). Association of CRP gene polymorphisms with serum CRP level and handgrip strength in community-dwelling elders in Taiwan: Taichung Community Health Study for Elders (TCHS-E). Experimental Gerontology. 57. 141–148. 23 indexed citations
8.
Sung, Fung-Chang, Ling-Ling Hsieh, Reiping Tang, et al.. (2013). Associations Between Genetic Polymorphisms of Epidermal Growth Factor Receptor (EGFR) and Survival of Colorectal Cancer (CRC) Patients Treated with 5-Fluorouracil-Based Chemotherapy. Annals of Surgical Oncology. 20(S3). 599–606. 7 indexed citations
9.
10.
Yang, Tsuey‐Ching, et al.. (2009). Recombinant ORF66 and ORFK12 antigens for the detection of human herpesvirus 8 antibodies in HIV-positive and -negative patients. Biotechnology Letters. 31(5). 629–637. 3 indexed citations
11.
Wu, Fang-Yang, et al.. (2008). Renal dysfunction and hyperuricemia with low blood lead levels and ethnicity in community-based study. The Science of The Total Environment. 401(1-3). 39–43. 38 indexed citations
12.
Hseu, You-Cheng, Ssu‐Ching Chen, Meiling Li, et al.. (2007). Humic acid induced genotoxicity in human peripheral blood lymphocytes using comet and sister chromatid exchange assay. Journal of Hazardous Materials. 153(1-2). 784–791. 29 indexed citations
13.
Kuo, Hsien‐Wen, et al.. (2007). Urinary 8-hydroxy-2′-deoxyguanosine (8-OHdG) and genetic polymorphisms in breast cancer patients. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 631(1). 62–68. 59 indexed citations
14.
Wu, Fang-Yang, Hsin-Ling Yang, Hsien‐Wen Kuo, et al.. (2007). Associations among genetic susceptibility, DNA damage, and pregnancy outcomes of expectant mothers exposed to environmental tobacco smoke. The Science of The Total Environment. 386(1-3). 124–133. 26 indexed citations
15.
Kuo, Hsien‐Wen, et al.. (2006). Association between Blood Lead Level and Blood Pressure in Aborigines and Others in Central Taiwan. International Journal of Occupational and Environmental Health. 12(3). 222–227. 9 indexed citations
16.
Wu, Fang-Yang, et al.. (2004). Lack of association of ?-aminolevulinic acid dehydratase genotype with cytogenetic damage in lead workers. International Archives of Occupational and Environmental Health. 77(6). 395–400. 9 indexed citations
17.
Wu, Fang-Yang, Yi-Ju Lee, Dar‐Ren Chen, & Hsien‐Wen Kuo. (2002). Association of DNA-protein crosslinks and breast cancer. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 501(1-2). 69–78. 29 indexed citations
18.
Wu, Fang-Yang, et al.. (2001). Effect of genotoxic exposure to chromium among electroplating workers in Taiwan. The Science of The Total Environment. 279(1-3). 21–28. 24 indexed citations
19.
Wu, Fang-Yang, et al.. (2000). Cytogenetic study of workers exposed to chromium compounds. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 464(2). 289–296. 32 indexed citations

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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