Mei R. Fu

5.0k total citations
176 papers, 3.6k citations indexed

About

Mei R. Fu is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Surgery. According to data from OpenAlex, Mei R. Fu has authored 176 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 93 papers in Oncology, 26 papers in Pediatrics, Perinatology and Child Health and 21 papers in Surgery. Recurrent topics in Mei R. Fu's work include Lymphatic System and Diseases (72 papers), Cancer survivorship and care (43 papers) and Childhood Cancer Survivors' Quality of Life (20 papers). Mei R. Fu is often cited by papers focused on Lymphatic System and Diseases (72 papers), Cancer survivorship and care (43 papers) and Childhood Cancer Survivors' Quality of Life (20 papers). Mei R. Fu collaborates with scholars based in United States, China and Netherlands. Mei R. Fu's co-authors include Jane M. Armer, Deborah Axelrod, Mary Rosedale, Amber Guth, Sheila H. Ridner, Judith Haber, Janice N. Cormier, Joan Scagliola, Bob R. Stewart and Sophia Hu and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Mei R. Fu

163 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei R. Fu United States 33 2.4k 835 382 368 358 176 3.6k
George F. Sawaya United States 37 1.4k 0.6× 1.1k 1.4× 247 0.6× 173 0.5× 287 0.8× 137 5.6k
Luiz Cláudio Santos Thuler Brazil 29 1.3k 0.6× 519 0.6× 295 0.8× 318 0.9× 260 0.7× 245 3.3k
Annika Waldmann Germany 32 2.2k 0.9× 390 0.5× 231 0.6× 203 0.6× 410 1.1× 140 3.7k
Kirsten Frederiksen Denmark 44 1.6k 0.7× 1.1k 1.3× 396 1.0× 518 1.4× 707 2.0× 187 6.5k
Ivar Heuch Norway 39 1.2k 0.5× 400 0.5× 306 0.8× 263 0.7× 508 1.4× 114 4.5k
L. Nyström Sweden 33 879 0.4× 1.0k 1.2× 222 0.6× 486 1.3× 275 0.8× 88 4.1k
Gerry Hill Canada 35 1.4k 0.6× 1.1k 1.4× 256 0.7× 390 1.1× 223 0.6× 101 4.9k
Cynthia D. O’Malley United States 24 653 0.3× 706 0.8× 218 0.6× 154 0.4× 411 1.1× 34 3.6k
Gregory Young United States 35 1.6k 0.7× 339 0.4× 285 0.7× 119 0.3× 166 0.5× 132 4.1k
Leslie K. Dennis United States 31 1.2k 0.5× 486 0.6× 426 1.1× 129 0.4× 102 0.3× 81 3.5k

Countries citing papers authored by Mei R. Fu

Since Specialization
Citations

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

Fields of papers citing papers by Mei R. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei R. Fu. 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 Mei R. Fu. The network helps show where Mei R. Fu may publish in the future.

Co-authorship network of co-authors of Mei R. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Mei R. Fu. A scholar is included among the top collaborators of Mei R. Fu 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 Mei R. Fu. Mei R. Fu 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.
Hu, Ziyi, Ming Cai, Shirong Zhang, et al.. (2025). Microbial biomarkers and sex-associated gut microbiota characteristics of thyroid cancer. BMC Cancer. 25(1). 1688–1688.
2.
Shi, Jing, Jun Tang, Xia Li, et al.. (2025). Outcome reporting in neonatal septic shock studies: A systematic review. Australian Critical Care. 38(4). 101227–101227.
3.
Hyland, Kelly A., Joseph G. Winger, Sarah A. Kelleher, et al.. (2025). Examining the Interrelationships of Lymphedema with Pain, Physical Function, and Demographic and Medical Variables in Women with Breast Cancer and Pain. Clinical Breast Cancer. 26(1). 179–186.
4.
Li, Yuan, Ziwen Zhou, Mei R. Fu, et al.. (2025). “A Mother Makes a Better Nurse”: A Phenomenological Study of Neonatal Nurses’ Readiness Recalibration Following Postpartum Return to Work. Journal of Nursing Management. 2025(1). 9095340–9095340.
5.
Miaskowski, Christine, Yvette P. Conley, Bruce A. Cooper, et al.. (2024). Identification Of A Higher Risk Lymphedema Phenotype And Associations With Cytokine Gene Polymorphisms. Journal of Pain and Symptom Management. 67(5). 375–383.e3. 1 indexed citations
7.
Jones, Katie Fitzgerald, Mei R. Fu, Eunjung Ko, et al.. (2022). Lymphatic Pain in Breast Cancer Survivors. Lymphatic Research and Biology. 20(5). 525–532. 12 indexed citations
8.
Fu, Mei R., et al.. (2022). The associations between resilience and socio-demographic factors in parents who care for their children with congenital heart disease. International Journal of Nursing Sciences. 9(3). 321–327. 4 indexed citations
9.
Smoot, Betty, Judy Mastick, John Shepherd, et al.. (2021). Use of Dual-Energy X-Ray Absorptiometry to Assess Soft Tissue Composition in Breast Cancer Survivors With and Without Lymphedema. Lymphatic Research and Biology. 20(4). 391–397. 3 indexed citations
10.
Mastick, Judy, Betty Smoot, Steven M. Paul, et al.. (2021). A Comparison of Supine Versus Stand-on Bioimpedance Devices to Assess Breast Cancer-Related Lymphedema. Lymphatic Research and Biology. 19(6). 553–561. 1 indexed citations
11.
Fu, Mei R., Deborah Axelrod, Amber Guth, et al.. (2021). A Web- and Mobile-Based Intervention for Women Treated for Breast Cancer to Manage Chronic Pain and Symptoms Related to Lymphedema: Results of a Randomized Clinical Trial. JMIR Cancer. 8(1). e29485–e29485. 25 indexed citations
12.
Park, Jae Hyung, John D. Merriman, Abraham A. Brody, et al.. (2020). Limb Volume Changes and Activities of Daily Living: A Prospective Study. Lymphatic Research and Biology. 19(3). 261–268. 12 indexed citations
13.
Fu, Mei R., et al.. (2018). Establishment of biological reference interval for urinary podocalyxin of adults in Lianyungang. Central Plains Medical Journal. 45(13). 36–39. 1 indexed citations
14.
Fu, Mei R., Deborah Axelrod, Amber Guth, et al.. (2016). A Web- and Mobile-Based Intervention for Women Treated for Breast Cancer to Manage Chronic Pain and Symptoms Related to Lymphedema: Randomized Clinical Trial Rationale and Protocol. JMIR Research Protocols. 5(1). e7–e7. 19 indexed citations
15.
Xiong, Xianrong, Mei R. Fu, Daoliang Lan, et al.. (2015). Yak Response to High-Altitude Hypoxic Stress by Altering mRNA Expression and DNA Methylation of Hypoxia-Inducible Factors. Animal Biotechnology. 26(3). 222–229. 34 indexed citations
16.
Fu, Mei R.. (2014). Breast cancer-related lymphedema: Symptoms, diagnosis, risk reduction, and management. World Journal of Clinical Oncology. 5(3). 241–241. 152 indexed citations
17.
Deng, Jie, Mei R. Fu, Jane M. Armer, et al.. (2014). Factors Associated with Reported Infection and Lymphedema Symptoms among Individuals with Extremity Lymphedema. Rehabilitation Nursing. 40(5). 310–319. 12 indexed citations
18.
Fu, Mei R., Sheila H. Ridner, & Jane M. Armer. (2009). Pathophysiology of post-breast cancer lymphedema. AJN American Journal of Nursing. 109(7).
19.
Fu, Mei R., Verna A. Rhodes, & Bo Xu. (2002). The Chinese Translation of the Index of Nausea, Vomiting, and Retching. Cancer Nursing. 25(2). 134–140. 25 indexed citations
20.
Fu, Mei R., et al.. (2001). A Multivariate Validation of the Defining Characteristics of Fatigue. International Journal of Nursing Terminologies and Classifications. 12(1). 15–27. 12 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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