Fuyu Ito

423 citations
21 papers · 320 · h-index 7

Impact in

    • Neurogenetic and Muscular Disorders Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Fuyu Ito

20 papers receiving 315 citations

Peers

Fuyu Ito
Comparison fields: 5 of 81
  • Genetics 60
  • Infectious Diseases 86
  • Molecular Medicine 23
  • Biomaterials 43
  • Applied Microbiology and Biotechnology 5
Replace Malcolm J.M. Darkes with:
Malcolm J.M. Darkes United Kingdom
Ryuichi Sugamata Japan
Hadida Yasmin India
Kyoko Iida Japan
Marlena Stadtmüller Germany
Zbyněk Nový Czechia
Rishi Kumar Jaiswal India
Hwan-Wun Liu Taiwan
Maria Chiara Giuffrida Italy
Mariko Nagata Japan
Fuyu Ito relative to Malcolm J.M. Darkes United Kingdom Malcolm J.M. Darkes's profile →
Citations per field
00.5×3.7×
Malcolm J.M. Darkes · 1×
Citations per year

Countries citing papers authored by Fuyu Ito

Since Specialization
Citations

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

Fields of papers citing papers by Fuyu Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019112
2 200952
3 200747
4 200922
5 200722
6 200920
7 20227
8 20245
9 20205
10 20195
11 20194
12
A case of interstitial 1q deletion [46,XY,del(q25q32.1)].
19874
13 20203
14 20223
15 19752
16 20232
17
[Stretch receptors in the frog extralingual muscles].
19672
18 20221
19 20241
20 20211

About Fuyu Ito

Fuyu Ito is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Molecular Biology, Epidemiology and Genetics, having authored 21 papers that have together received 320 indexed citations. Recurring topics across this work include Vasculitis and related conditions (8 papers), Influenza Virus Research Studies (3 papers), Cell Adhesion Molecules Research (2 papers), Protein Structure and Dynamics (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Genetics (60 citations), Infectious Diseases (86 citations), Molecular Medicine (23 citations), Biomaterials (43 citations) and Applied Microbiology and Biotechnology (5 citations). Fuyu Ito has collaborated with scholars based in Japan. Frequent co-authors include Kengo Usui, Harukazu Suzuki, Masayoshi Itoh, Yoshihide Hayashizaki, Kazuo Suzuki, Chihiro Ogawa, Takehisa Matsuda, Satoru Kidoaki, Shoichi Suzuki and Masakazu Mimaki. Their work appears in journals such as The Journal of Dermatology, Journal of Biological Chemistry, The Journal of Antibiotics, Pediatric Rheumatology and International Archives of Allergy and 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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