Alan Fu

1.3k citations
33 papers · 945 · h-index 18

Impact in

Papers in

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

Alan Fu

33 papers receiving 930 citations

Peers

Alan Fu
Comparison fields: 5 of 98
  • Endocrine and Autonomic Systems 161
  • Cancer Research 288
  • Aging 28
  • Molecular Biology 592
  • Plant Science 177
Replace Weiqiang Zhou with:
Weiqiang Zhou China
Tomoko Kakizawa Japan
Ken Tsumiyama Japan
Uršula Prosenc Zmrzljak Slovenia
Shixia Bu China
Chao Song China
Diane C. Cabelof United States
Junyan Sun China
Francesca Rossiello Italy
Raffaele Teperino Germany
Alan Fu relative to Weiqiang Zhou China Weiqiang Zhou's profile →
Citations per field
00.5×3.5×
Weiqiang Zhou · 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 2015129
2 2013115
3 201159
4 202052
5 201451
6
Genetic and epigenetic association studies suggest a role of microRNA biogenesis gene exportin-5 (XPO5) in breast tumorigenesis.
201150
7 201845
8 201138
9 200435
10 201335
11 201333
12 201632
13 201432
14 201332
15 202131
16 201528
17 201224
18 201317
19 201416
20 201315

About Alan Fu

Alan Fu is a scholar working on Molecular Biology, Cancer Research, Endocrine and Autonomic Systems, Plant Science and Physiology, having authored 33 papers that have together received 945 indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (6 papers), MicroRNA in disease regulation (6 papers), Epigenetics and DNA Methylation (6 papers), Cancer-related molecular mechanisms research (4 papers), Chromosomal and Genetic Variations (4 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (161 citations), Cancer Research (288 citations), Aging (28 citations), Molecular Biology (592 citations) and Plant Science (177 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 Yingying Mao. Their work appears in journals such as Cancer Epidemiology Biomarkers & Prevention, Carcinogenesis, Environmental and Molecular Mutagenesis, Scientific Reports and RNA Biology.

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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