Xifeng Wu

8.3k total citations · 1 hit paper
75 papers, 3.9k citations indexed

About

Xifeng Wu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Xifeng Wu has authored 75 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 14 papers in Oncology. Recurrent topics in Xifeng Wu's work include RNA modifications and cancer (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Glutathione Transferases and Polymorphisms (6 papers). Xifeng Wu is often cited by papers focused on RNA modifications and cancer (7 papers), Bladder and Urothelial Cancer Treatments (7 papers) and Glutathione Transferases and Polymorphisms (6 papers). Xifeng Wu collaborates with scholars based in United States, China and Taiwan. Xifeng Wu's co-authors include Chwen Keng Tsao, Min Kuang Tsai, Chi Pang Wen, Ting Cheng, Jackson Pui Man Wai, Hui Ting Chan, Shan P. Tsai, Yi Yang, Meng-Chih Lee and M R Spitz and has published in prestigious journals such as The Lancet, Angewandte Chemie International Edition and Journal of Clinical Investigation.

In The Last Decade

Xifeng Wu

68 papers receiving 3.8k citations

Hit Papers

Minimum amount of physical activity for reduced mortality... 2011 2026 2016 2021 2011 400 800 1.2k

Peers

Xifeng Wu
Penny Phillips United States
Christoph Meier Switzerland
Peter T. Campbell United States
Catherine Duggan United States
Stacey A. Kenfield United States
Scott Isom United States
Wei Yann Tsai United States
Shana L. Palla United States
Penny Phillips United States
Xifeng Wu
Citations per year, relative to Xifeng Wu Xifeng Wu (= 1×) peers Penny Phillips

Countries citing papers authored by Xifeng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xifeng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xifeng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Xifeng Wu. A scholar is included among the top collaborators of Xifeng 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 Xifeng Wu. Xifeng 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.
Wen, Chi, Huakang Tu, Weiguo Lü, et al.. (2025). Lifestyles modify the biological aging process: evidence from multiple cohorts. American Journal of Epidemiology. 194(11). 3229–3237.
2.
Huang, Yushu, Qi Yu, Yingjun Li, et al.. (2025). Development and Validation of a Brain Aging Biomarker in Middle-Aged and Older Adults: Deep Learning Approach. JMIR Aging. 8. e73004–e73004. 1 indexed citations
3.
Chen, Ping, Wenting Zhao, Sicong Wang, et al.. (2024). Predicting oral and esophageal cancers by one model in a Chinese prospective cohort study. Preventive Medicine. 189. 108119–108119. 1 indexed citations
4.
Wu, Xifeng, et al.. (2024). Novel machine learning algorithm in risk prediction model for pan-cancer risk: application in a large prospective cohort. SHILAP Revista de lepidopterología. 3(1). e000087–e000087. 1 indexed citations
5.
Zhao, Jianhui, Rong Fan, Yuchen Zhang, et al.. (2024). Global, regional, and national burden and quality of care of multiple myeloma, 1990–2019. Journal of Global Health. 14. 4033–4033. 9 indexed citations
6.
Shao, Yelin, Wenyuan Li, Chi Wen, et al.. (2024). Dyslipidemia progression and increased lung cancer risk: a prospective cohort study. European Journal of Epidemiology. 39(12). 1363–1371. 2 indexed citations
7.
Tu, Huakang, et al.. (2024). A multi-ancestry cerebral cortex transcriptome-wide association study identifies genes associated with smoking behaviors. Molecular Psychiatry. 29(11). 3580–3589. 1 indexed citations
8.
Li, Jiahui, Yuting Wang, Zihan Li, et al.. (2024). Development and application of a deep learning-based comprehensive early diagnostic model for chronic obstructive pulmonary disease. Respiratory Research. 25(1). 167–167. 15 indexed citations
9.
Zhu, Yingshuang, Yeting Hu, Xiangxing Kong, et al.. (2021). Cohort profile: The National Colorectal Cancer Cohort (NCRCC) study in China. BMJ Open. 11(12). e051397–e051397. 1 indexed citations
10.
Sun, Wenjie, Chi-Pang Wen, Jie Lin, et al.. (2015). ABO blood types and cancer risk—A cohort study of 339,432 subjects in Taiwan. Cancer Epidemiology. 39(2). 150–156. 29 indexed citations
11.
Xia, Pu, Michelle A.T. Hildebrandt, Charles Lu, et al.. (2014). Inflammation-Related Genetic Variations and Survival in Patients With Advanced Non–Small Cell Lung Cancer Receiving First-Line Chemotherapy. Clinical Pharmacology & Therapeutics. 96(3). 360–369. 14 indexed citations
12.
Wagner, Klaus W., Hunain Alam, Shilpa S. Dhar, et al.. (2013). KDM2A promotes lung tumorigenesis by epigenetically enhancing ERK1/2 signaling. Journal of Clinical Investigation. 123(12). 5231–5246. 149 indexed citations
13.
Xie, Hui, Dina Lev, Yun Yun Gong, et al.. (2013). Reduced mitochondrial DNA copy number in peripheral blood leukocytes increases the risk of soft tissue sarcoma. Carcinogenesis. 34(5). 1039–1043. 39 indexed citations
14.
Hildebrandt, Michelle A.T., Scott M. Lippman, Carol J. Etzel, et al.. (2012). Genetic Variants in the PI3K/PTEN/AKT/mTOR Pathway Predict Head and Neck Cancer Patient Second Primary Tumor/Recurrence Risk and Response to Retinoid Chemoprevention. Clinical Cancer Research. 18(13). 3705–3713. 37 indexed citations
15.
Wilkinson, Anna V., Melissa L. Bondy, Xifeng Wu, et al.. (2012). Cigarette Experimentation in Mexican Origin Youth: Psychosocial and Genetic Determinants. Cancer Epidemiology Biomarkers & Prevention. 21(1). 228–238. 15 indexed citations
16.
Dai, Jingyao, Jian Gu, Maosheng Huang, et al.. (2012). GWAS-identified colorectal cancer susceptibility loci associated with clinical outcomes. Carcinogenesis. 33(7). 1327–1331. 37 indexed citations
17.
Lee, J. Jack, Xifeng Wu, Michelle A.T. Hildebrandt, et al.. (2011). Global Assessment of Genetic Variation Influencing Response to Retinoid Chemoprevention in Head and Neck Cancer Patients. Cancer Prevention Research. 4(2). 185–193. 26 indexed citations
18.
Gu, Jian, George L. Delclos, Ann M. Killary, et al.. (2010). Genetic variations of the PI3K-AKT-mTOR pathway and clinical outcome in muscle invasive and metastatic bladder cancer patients. Carcinogenesis. 31(8). 1387–1391. 55 indexed citations
19.
Shaw, Andrew, Ara A. Vaporciyan, Xifeng Wu, et al.. (2005). Inflammatory Gene Polymorphisms Influence Risk of Postoperative Morbidity After Lung Resection. The Annals of Thoracic Surgery. 79(5). 1704–1710. 25 indexed citations
20.
Gu, Jian, Dong Liang, Yunfei Wang, Charles Lu, & Xifeng Wu. (2004). Effects of N-acetyl transferase 1 and 2 polymorphisms on bladder cancer risk in Caucasians. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 581(1-2). 97–104. 76 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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