Fen Wu

3.5k total citations · 1 hit paper
66 papers, 2.2k citations indexed

About

Fen Wu is a scholar working on Molecular Biology, Cancer Research and Environmental Chemistry. According to data from OpenAlex, Fen Wu has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Environmental Chemistry. Recurrent topics in Fen Wu's work include Arsenic contamination and mitigation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Heavy Metal Exposure and Toxicity (8 papers). Fen Wu is often cited by papers focused on Arsenic contamination and mitigation (10 papers), Cancer-related molecular mechanisms research (9 papers) and Heavy Metal Exposure and Toxicity (8 papers). Fen Wu collaborates with scholars based in United States, China and France. Fen Wu's co-authors include Yu Chen, Huilin Li, Thomas Battaglia, Xuhui Zheng, Arnon D. Lieber, Melanie Jay, William Schweizer, Martin J. Blaser, Mónica Contreras and Nora Henderson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain.

In The Last Decade

Fen Wu

60 papers receiving 2.2k citations

Hit Papers

Antibiotics, birth mode, and diet shape microbiome matura... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fen Wu United States 23 1.2k 312 298 282 260 66 2.2k
Brandilyn A. Peters United States 25 2.0k 1.6× 157 0.5× 741 2.5× 123 0.4× 286 1.1× 66 3.9k
Kokichi Arisawa Japan 31 396 0.3× 612 2.0× 223 0.7× 163 0.6× 200 0.8× 119 3.0k
Elizabeth M. Martin United States 30 845 0.7× 576 1.8× 216 0.7× 137 0.5× 61 0.2× 89 2.6k
Ulrike Rolle‐Kampczyk Germany 29 2.0k 1.7× 593 1.9× 929 3.1× 282 1.0× 295 1.1× 112 4.5k
Wilfried Karmaus United States 32 741 0.6× 993 3.2× 843 2.8× 351 1.2× 133 0.5× 178 3.6k
Chunxia Jing China 23 327 0.3× 314 1.0× 135 0.5× 86 0.3× 217 0.8× 110 1.9k
Miao Yu China 26 1.1k 0.9× 217 0.7× 318 1.1× 124 0.4× 68 0.3× 103 2.3k
So‐Yeon Lee South Korea 31 728 0.6× 323 1.0× 1.1k 3.8× 130 0.5× 101 0.4× 206 3.2k
Chia‐Jung Hsieh Taiwan 30 439 0.4× 778 2.5× 225 0.8× 101 0.4× 61 0.2× 123 2.5k
Mohan L. Sopori United States 31 1.4k 1.1× 320 1.0× 723 2.4× 105 0.4× 230 0.9× 75 3.9k

Countries citing papers authored by Fen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Wu. A scholar is included among the top collaborators of Fen 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 Fen Wu. Fen Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cao, Caiyun, Jian Miao, Fen Wu, et al.. (2025). A near telomere-to-telomere genome assembly of the Jinhua pig: enabling more accurate genetic research. GigaScience. 14. 1 indexed citations
3.
Song, Yixiao, Fen Wu, Sneha Sharma, et al.. (2023). Mid‐life adherence to the Dietary Approaches to Stop Hypertension (DASH) diet and late‐life subjective cognitive complaints in women. Alzheimer s & Dementia. 20(2). 1076–1088. 6 indexed citations
4.
Wu, Fen, Zitao Chen, Zhenyang Zhang, et al.. (2023). The Role of SOCS3 in Regulating Meat Quality in Jinhua Pigs. International Journal of Molecular Sciences. 24(13). 10593–10593. 4 indexed citations
5.
Wang, Zhen, Zhenyang Zhang, Zitao Chen, et al.. (2022). PHARP: a pig haplotype reference panel for genotype imputation. Scientific Reports. 12(1). 12645–12645. 23 indexed citations
6.
7.
Wu, Fen, et al.. (2019). Perspectives on the role of exercise in the treatment of pediatric type 1 diabetes. Pediatric Diabetes. 21(3). 466–472. 3 indexed citations
8.
Wu, Fen, Wei Zhang, Qianqian Song, et al.. (2019). Association analysis of polymorphisms of G protein-coupled receptor 54 gene exons with reproductive traitsin Jiaxing Black sows. Asian-Australasian Journal of Animal Sciences. 32(8). 1104–1111. 4 indexed citations
9.
Chen, Yu, Fen Wu, Xinhua Liu, et al.. (2019). Early life and adolescent arsenic exposure from drinking water and blood pressure in adolescence. Environmental Research. 178. 108681–108681. 24 indexed citations
10.
Chen, Qiao Yi, Steven S. Shen, Hong Sun, et al.. (2019). PBMC gene expression profiles of female Bangladeshi adults chronically exposed to arsenic-contaminated drinking water. Environmental Pollution. 259. 113672–113672. 16 indexed citations
11.
Wu, Fen, Ryan T. Demmer, Faruque Parvez, et al.. (2018). Association between number of children and carotid intima-media thickness in Bangladesh. PLoS ONE. 13(11). e0208148–e0208148. 18 indexed citations
12.
Brocato, Jason, Fen Wu, Yu Chen, et al.. (2015). Association between sleeping hours and cardiometabolic risk factors for metabolic syndrome in a Saudi Arabian population. BMJ Open. 5(11). e008590–e008590. 19 indexed citations
13.
Wu, Fen, et al.. (2013). Correlation of chromosome damage and promoter methylation status of the DNA repair genes MGMT and hMLH1 in Chinese vinyl chloride monomer (VCM)-exposed workers. International Journal of Occupational Medicine and Environmental Health. 26(1). 173–82. 10 indexed citations
14.
Chen, Yu, Fen Wu, Mengling Liu, et al.. (2013). A Prospective Study of Arsenic Exposure, Arsenic Methylation Capacity, and Risk of Cardiovascular Disease in Bangladesh. Environmental Health Perspectives. 121(7). 832–838. 148 indexed citations
15.
Ge, Wenzhen, Faruque Parvez, Fen Wu, et al.. (2013). Association between anthropometric measures of obesity and subclinical atherosclerosis in Bangladesh. Atherosclerosis. 232(1). 234–241. 29 indexed citations
16.
Arita, Adriana, Jingping Niu, Qingshan Qu, et al.. (2011). Global Levels of Histone Modifications in Peripheral Blood Mononuclear Cells of Subjects with Exposure to Nickel. Environmental Health Perspectives. 120(2). 198–203. 74 indexed citations
17.
Qiu, Yulan, Wei Wang, Tong Wang, et al.. (2011). DNA repair gene polymorphisms and micronucleus frequencies in Chinese workers exposed to vinyl chloride monomer. International Journal of Hygiene and Environmental Health. 214(3). 225–230. 14 indexed citations
18.
Wang, Lingling, Fang Ji, Yu Sun, et al.. (2010). Genetic polymorphisms of XRCC1, HOGG1 and MGMT and micronucleus occurrence in Chinese vinyl chloride-exposed workers. Carcinogenesis. 31(6). 1068–1073. 18 indexed citations
19.
Wang, Wei, Fang Ji, Jing Liu, et al.. (2010). Genetic Polymorphisms in Metabolizing Enzymes and Susceptibility of Chromosomal Damage Induced by Vinyl Chloride Monomer in a Chinese Worker Population. Journal of Occupational and Environmental Medicine. 52(2). 163–168. 15 indexed citations
20.
Sun, Pin, et al.. (2007). Association of the genetic polymorphism of EPHX1 and EPHX2 with the susceptibility to chronic benzene poisoning. Frontiers of Medicine in China. 1(3). 320–326. 1 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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