Mei R. Fu
- Oncology top 1%
- Surgery top 5%
- Cancer Research top 5%
- Physiology top 5%
- Pediatrics, Perinatology and Child Health top 5%
- Co-authors
- Jane M. ArmerDeborah AxelrodMary RosedaleAmber GuthSheila H. RidnerJudith HaberJanice N. CormierJoan Scagliola
- Topics
- Lymphatic System and Diseases (72 papers)Cancer survivorship and care (43 papers)Childhood Cancer Survivors' Quality of Life (20 papers)
- Journals
- Nucleic Acids ResearchJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaSpain
In The Last Decade
Mei R. Fu
163 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 160
- Oncology 2.4k
- Surgery 835
- Cancer Research 382
- Physiology 368
- Pediatrics, Perinatology and Child Health 358
Countries citing papers authored by Mei R. Fu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 4 | |
| 12 | 25 | |
| 13 | 26 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | Physical Activity Among Chinese American Immigrants with Prediabetes or Type 2 Diabetes | 1 |
| 17 | [The Association Between the Polymorphisms of miRNA Biogenesis Related Genes(DICER,DROSHA and RAN)and Unexplained Recurrent Spontaneous Abortion in Chinese Women]. | 5 |
| 18 | 19 | |
| 19 | State Equation Method of Mechanical-electric Coupling for a Piezoelectric Beam | 1 |
| 20 | 12 |
About Mei R. Fu
Mei R. Fu is a scholar working on Oncology, Pediatrics, Perinatology and Child Health and Occupational Therapy, having authored 176 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lymphatic System and Diseases (72 papers), Cancer survivorship and care (43 papers) and Childhood Cancer Survivors' Quality of Life (20 papers). The work is most often cited by research in Oncology (2.4k citations), Cancer Research (382 citations) and Health Informatics (27 citations). Mei R. Fu has collaborated with scholars based in United States, China and Spain. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.