Chi‐Fang Wu

2.3k total citations
100 papers, 1.6k citations indexed

About

Chi‐Fang Wu is a scholar working on General Health Professions, Gender Studies and Sociology and Political Science. According to data from OpenAlex, Chi‐Fang Wu has authored 100 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in General Health Professions, 19 papers in Gender Studies and 17 papers in Sociology and Political Science. Recurrent topics in Chi‐Fang Wu's work include Gender, Labor, and Family Dynamics (19 papers), Employment and Welfare Studies (18 papers) and Cervical Cancer and HPV Research (14 papers). Chi‐Fang Wu is often cited by papers focused on Gender, Labor, and Family Dynamics (19 papers), Employment and Welfare Studies (18 papers) and Cervical Cancer and HPV Research (14 papers). Chi‐Fang Wu collaborates with scholars based in United States, Taiwan and Colombia. Chi‐Fang Wu's co-authors include James J. Valdés, William E. Bentley, Mary Keegan Eamon, Daniel J. Lew, Liang Wang, Matthew P. DeLisa, Maria Cancian, Trevin R. Zyla, Natasha S. Savage and Rakesh Govind and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Journal of the American Statistical Association.

In The Last Decade

Chi‐Fang Wu

93 papers receiving 1.5k citations

Peers

Chi‐Fang Wu
George M. Santangelo United States
Jean Lee United States
Kathy Hudson United States
Cory A. Dunnick United States
Joseph Brown United States
Quentin Eichbaum United States
Brenda Lee United States
Christina Huang United States
Hala Ghattas Lebanon
George M. Santangelo United States
Chi‐Fang Wu
Citations per year, relative to Chi‐Fang Wu Chi‐Fang Wu (= 1×) peers George M. Santangelo

Countries citing papers authored by Chi‐Fang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chi‐Fang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chi‐Fang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chi‐Fang Wu. A scholar is included among the top collaborators of Chi‐Fang 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 Chi‐Fang Wu. Chi‐Fang 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.
Lei, Xiudong, Chi‐Fang Wu, Hui Zhao, et al.. (2024). Utilization of Biologic Disease‐Modifying Antirheumatic Therapy in Patients With Rheumatoid Arthritis and Recently Diagnosed Breast Cancer. Arthritis Care & Research. 76(6). 850–859. 2 indexed citations
2.
Cao, Fang, et al.. (2024). Balancing work and earnings: The long-term impact on mental health. Social Science & Medicine. 364. 117562–117562. 1 indexed citations
3.
Smith, Grace L., Benjamin D. Smith, Chi‐Fang Wu, et al.. (2024). Financial toxicity in breast cancer patients receiving regional nodal irradiation: Variation by cancer subtype. The Breast. 78. 103813–103813. 1 indexed citations
4.
Weng, Julius, Karen E. Hoffman, Chelain R. Goodman, et al.. (2024). Automated, Real-Time Integration of Biometric Data From Wearable Devices With Electronic Medical Records: A Feasibility Study. JCO Clinical Cancer Informatics. 8(8). e2400040–e2400040. 4 indexed citations
5.
Helton, Jesse J., et al.. (2024). Breaking the cycle between caregiver mental health and child behavioral issues: Does food insecurity matter?. Social Science & Medicine. 364. 117488–117488.
6.
Wu, Chi‐Fang, et al.. (2024). Racial and sociodemographic disparities in the use of targeted therapies in advanced ovarian cancer patients with Medicare. International Journal of Gynecological Cancer. 34(11). 1661–1670. 1 indexed citations
7.
Suarez‐Almazor, María E., Xiudong Lei, Chi‐Fang Wu, et al.. (2024). Trends in the use of biologic disease-modifying antirheumatic drugs in patients with rheumatoid arthritis and recently diagnosed colorectal, lung, or prostate cancer. Clinical Rheumatology. 43(11). 3301–3312. 2 indexed citations
8.
Agustí, Núria, David Viveros‐Carreño, Chi‐Fang Wu, et al.. (2024). Patient Location and Disparities in Access to Fertility Preservation for Women With Gynecologic or Breast Cancer. Obstetrics and Gynecology. 143(6). 824–834. 1 indexed citations
9.
Wu, Chi‐Fang, et al.. (2023). The Application of Family Stress Model to Investigating Adolescent Problematic Behaviors: The Moderating Role of Assets. Journal of Family and Economic Issues. 45(1). 174–183. 3 indexed citations
10.
McGinnis, Gwendolyn J., Susan K. Peterson, Nicolette Taku, et al.. (2023). Pilot study of a Spanish language measure of financial toxicity in underserved Hispanic cancer patients with low English proficiency. Frontiers in Psychology. 14. 1188783–1188783. 6 indexed citations
11.
Damgacioglu, Haluk, Ana P. Ortíz, Chi‐Fang Wu, et al.. (2022). State Variation in Squamous Cell Carcinoma of the Anus Incidence and Mortality, and Association With HIV/AIDS and Smoking in the United States. Journal of Clinical Oncology. 41(6). 1228–1238. 30 indexed citations
13.
Xu, Li, Samantha Tam, Kristina R. Dahlstrom, et al.. (2021). An economic and disease transmission model of human papillomavirus and oropharyngeal cancer in Texas. Scientific Reports. 11(1). 1802–1802. 3 indexed citations
14.
Fu, Shuangshuang, Chi‐Fang Wu, Michael Wang, & David R. Lairson. (2019). Cost Effectiveness of Transplant, Conventional Chemotherapy, and Novel Agents in Multiple Myeloma: A Systematic Review. PharmacoEconomics. 37(12). 1421–1449. 12 indexed citations
15.
Tam, Samantha, Li Xu, Kristina R. Dahlstrom, et al.. (2018). Age-Structured Population Modeling of HPV-related Cervical Cancer in Texas and US. Scientific Reports. 8(1). 14346–14346. 12 indexed citations
16.
Lairson, David R., Chi‐Fang Wu, Wenyaw Chan, et al.. (2017). Medical Care Cost of Oropharyngeal Cancer among Texas Patients. Cancer Epidemiology Biomarkers & Prevention. 26(9). 1443–1449. 32 indexed citations
17.
Cheng, Chiung‐Hsiang, Hsin‐Ying Wu, Chi‐Fang Wu, & Tong‐Rong Jan. (2015). Pacific oyster-derived polysaccharides attenuate allergen-induced intestinal inflammation in a murine model of food allergy. Journal of Food and Drug Analysis. 24(1). 121–128. 17 indexed citations
18.
Savage, Natasha S., et al.. (2014). Inhibitory GEF Phosphorylation Provides Negative Feedback in the Yeast Polarity Circuit. Current Biology. 24(7). 753–759. 56 indexed citations
19.
Wu, Chi‐Fang & Mary Keegan Eamon. (2007). Public and Private Sources of Assistance for Low-Income Households. The Journal of Sociology & Social Welfare. 34(4). 13 indexed citations
20.
Wu, Chi‐Fang, et al.. (2000). A green fluorescent protein fusion strategy for monitoring the expression, cellular location, and separation of biologically active organophosphorus hydrolase. Applied Microbiology and Biotechnology. 54(1). 78–83. 58 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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