Cecilia Fu

1.3k citations
32 papers · 945 · h-index 16

Impact in

Papers in

Cecilia Fu

30 papers receiving 936 citations

Peers

Cecilia Fu
Comparison fields: 5 of 91
  • Pediatrics, Perinatology and Child Health 340
  • Hematology 190
  • Public Health, Environmental and Occupational Health 380
  • Oncology 219
  • Genetics 69
Replace W. A. Kamps with:
W. A. Kamps Netherlands
V. Michael Whitehead Canada
Mathew J. Edick United States
Y. Ravindranath United States
Dániel J. Erdélyi Hungary
Suwen Li China
Thomas A Ratko United States
Prasoon Agarwal Sweden
Masakatsu Yanagimachi Japan
Takashi Tanaka Japan
Cecilia Fu relative to W. A. Kamps Netherlands W. A. Kamps's profile →
Citations per field
00.5×3.1×
W. A. Kamps · 1×
Citations per year

Countries citing papers authored by Cecilia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cecilia Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cecilia Fu Line = papers co-authored together Cecilia Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007177
2 2008142
3 200778
4 201474
5 201365
6 201759
7 200856
8 200642
9 201142
10 201531
11 201426
12 201223
13 201519
14 201619
15 200719
16
Cytosine arabinoside (ara-C) resistance confers cross-resistance or collateral sensitivity to other classes of anti-leukemic drugs.
200016
17 200110
18 20048
19 20107
20 20107

About Cecilia Fu

Cecilia Fu is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Hematology, Pediatrics, Perinatology and Child Health and Oncology, having authored 32 papers that have together received 945 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (17 papers), Childhood Cancer Survivors' Quality of Life (9 papers), Acute Myeloid Leukemia Research (8 papers), Chronic Myeloid Leukemia Treatments (5 papers), Epigenetics and DNA Methylation (4 papers), Retinoids in leukemia and cellular processes (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Histone Deacetylase Inhibitors Research (3 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (340 citations), Hematology (190 citations), Public Health, Environmental and Occupational Health (380 citations), Oncology (219 citations) and Genetics (69 citations). Cecilia Fu has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Kathleen M. Sakamoto, Tara L. Lin, Agustı́n Rodrı́guez-González, Alan K. Ikeda, Tiffany Simms-Waldrip, Paul S. Gaynon, Michael E. Trigg, Janet Franklin, Etan Orgel and Frederick J. Dorey. Their work appears in journals such as Blood, Pediatric Blood & Cancer, Cancer Research, Journal of Pediatric Hematology/Oncology and Journal of Clinical Oncology.

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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