Fujiko Duke

5.5k citations
24 papers · 2.2k · 1 hit paper · h-index 14

Impact in

Papers in

    • Epigenetics and DNA Methylation 3
    • Genetic and phenotypic traits in livestock 4
    • Genetic Mapping and Diversity in Plants and Animals 4

Fujiko Duke

22 papers receiving 2.1k citations

Fujiko Duke's Hit Papers

Genomic analysis identifies association of Fusobacterium with colorectal carcinoma 2011 · 1.4k citations
1.4k0+5+10Years since publication4008001.2k

Peers

Fujiko Duke
Comparison fields: 5 of 122
  • Sensory Systems 272
  • Periodontics 173
  • Nutrition and Dietetics 360
  • Oncology 556
  • Molecular Biology 1.2k
Replace Naoki Takahashi with:
Naoki Takahashi Japan
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Christian Sina Germany
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John E. Wolf United States
Fujiko Duke relative to Naoki Takahashi Japan Naoki Takahashi's profile →
Citations per field
00.5×3.6×
Naoki Takahashi · 1×
Citations per year

Countries citing papers authored by Fujiko Duke

Since Specialization
Citations

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

Fields of papers citing papers by Fujiko Duke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomic analysis identifies association of Fusobacterium with colorectal carcinoma
Hit paper breakdown →
20111444
2 2010120
3 2010101
4 201273
5 201560
6 201759
7 201459
8 201049
9 201042
10 201439
11 201624
12 201123
13 201421
14 201517
15 201810
16 20177
17 20156
18 20146
19 20175
20 20182

About Fujiko Duke

Fujiko Duke is a scholar working on Molecular Biology, Genetics, Sensory Systems, Nutrition and Dietetics and Biomedical Engineering, having authored 24 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (5 papers), Biochemical Analysis and Sensing Techniques (5 papers), Olfactory and Sensory Function Studies (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Sensory Systems (272 citations), Periodontics (173 citations), Nutrition and Dietetics (360 citations), Oncology (556 citations) and Molecular Biology (1.2k citations). Fujiko Duke has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include Matthew Meyerson, Joonil Jung, Akinyemi I. Ojesina, Chandra Sekhar Pedamallu, Dirk Gevers, Adam J. Bass, Curtis Huttenhower, Shuji Ogino, José Baselga and Chen Liu. Their work appears in journals such as Cancer Research, Chemical Senses, Arthritis & Rheumatology, PLoS ONE and Journal of Virology.

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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