Alan Fu

1.3k citations
33 papers · 1.0k · h-index 18

Impact in

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA Research and Splicing 3
    • RNA modifications and cancer 3
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 3

Alan Fu

33 papers receiving 980 citations

Peers

Alan Fu
Comparison fields: 5 of 93
  • Endocrine and Autonomic Systems 170
  • Cancer Research 261
  • Aging 26
  • Molecular Biology 561
  • Plant Science 181
Replace Zhixing Li with:
Zhixing Li China
Guidantonio Malagoli Tagliazucchi Italy
Jeanne M. Franzone United States
Tomoko Kakizawa Japan
Andrew Davis United States
Çherry Wu United States
Anica Schraenen Belgium
Yuangao Wang China
Petra Kameritsch Germany
Alan Fu relative to Zhixing Li China Zhixing Li's profile →
Citations per field
00.5×2×4×6.1×
Zhixing Li · 1×
Citations per year

Countries citing papers authored by Alan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Alan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Alan 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 Alan Fu Line = papers co-authored together Alan Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015139
2 2013120
3 201162
4 201457
5 202055
6
Genetic and epigenetic association studies suggest a role of microRNA biogenesis gene exportin-5 (XPO5) in breast tumorigenesis.
201154
7 201849
8 201141
9 200440
10 201637
11 201337
12 201334
13 201334
14 201433
15 202131
16 201530
17 201227
18 201318
19 201417
20 201315

About Alan Fu

Alan Fu is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Plant Science and Hematology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), MicroRNA in disease regulation (6 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), Chromosomal and Genetic Variations (3 papers), Multiple Myeloma Research and Treatments (3 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (170 citations), Cancer Research (261 citations), Aging (26 citations), Molecular Biology (561 citations) and Plant Science (181 citations). Alan Fu has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Tongzhang Zheng, Aaron E. Hoffman, Yong Zhu, Yongxue Zhu, Daniel Jacobs, Ran Liu, Daniel I. Jacobs, Derek Leaderer, Richard G. Stevens and Qin Qin. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Carcinogenesis, Environmental and Molecular Mutagenesis, Journal of Nanoscience and Nanotechnology and Oncotarget.

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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