Daisuke Fujikura

1.1k citations
34 papers · 806 indexed · h-index 17
  • Immunology top 10%
    • Immune Response and Inflammation 10
    • interferon and immune responses 5
    • Viral gastroenteritis research and epidemiology 7
    • Viral Infections and Outbreaks Research 4
    • Viral Infections and Vectors 4
    • Influenza Virus Research Studies 5
    • Bacillus and Francisella bacterial research 7
    • Bacteriophages and microbial interactions 5

Daisuke Fujikura

34 papers receiving 798 citations

Peers

Daisuke Fujikura
Comparison fields: 5 of 96
  • Immunology 300
  • Infectious Diseases 191
  • Virology 32
  • Epidemiology 182
  • Molecular Biology 348
Replace Ricardo Lascuraín with:
Ricardo Lascuraín Mexico
Tiziana Cubeddu Italy
Sharon A. White United Kingdom
Gabriel Morón Argentina
Chun I. Yu United States
Marian Wiegand Germany
Alison A. McCormick United States
Jeong Yoon Lee South Korea
Hyung-Yong Kim South Korea
Yoshimasa Maeno Japan
Daisuke Fujikura relative to Ricardo Lascuraín Mexico Ricardo Lascuraín's profile →
Citations per field
00.5×1.5×1.9×
Ricardo Lascuraín · 1×
Citations per year

Countries citing papers authored by Daisuke Fujikura

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Fujikura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202110
2 20194
3 201816
4 201834
5 20183
6 201726
7 20176
8 201717
9 201520
10 20149
11 201461
12 20135
13 201210
14 20126
15 201224
16 20125
17 201114
18 2010174
19 200930
20 200453

About Daisuke Fujikura

Daisuke Fujikura is a scholar working on Immunology, Immunology and Allergy and Infectious Diseases, having authored 34 papers that have together received 806 indexed citations. Recurring topics across this work include Immune Response and Inflammation (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Bacillus and Francisella bacterial research (7 papers), interferon and immune responses (5 papers), Influenza Virus Research Studies (5 papers), Bacteriophages and microbial interactions (5 papers), Viral Infections and Outbreaks Research (4 papers) and Viral Infections and Vectors (4 papers). The work is most often cited by research in Immunology (300 citations), Infectious Diseases (191 citations) and Virology (32 citations). Daisuke Fujikura has collaborated with scholars based in Japan, Zambia and United States. Frequent co-authors include Tadaaki Miyazaki, Ayato Takada, Reiko Yoshida, Masahiro Kajihara, Hiroko Miyamoto, John C. Reed, Hiroshi Kitamura, Hideaki Higashi, Toshimitsu Uede and Rashid Manzoor. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Nature Immunology.

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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