Kaori Ide

1.5k citations
53 papers · 1.1k · h-index 17

Impact in

    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • Microbial Metabolic Engineering and Bioproduction
    • Gene expression and cancer classification
    • Bacterial biofilms and quorum sensing
    • Dermatology and Skin Diseases

Papers in

Kaori Ide

52 papers receiving 1.1k citations

Peers

Kaori Ide
Comparison fields: 5 of 107
  • Molecular Biology 706
  • Dermatology 81
  • Biophysics 44
  • Microbiology 47
  • Immunology and Allergy 38
Replace Maja A. Hofmann with:
Maja A. Hofmann Germany
Deborah G. Nguyen United States
Snævar Sigurðsson United States
Se‐Ho Park South Korea
Nigel D. L. Savage Netherlands
John D. Nieland Denmark
Antony N. Antoniou United Kingdom
Maria Gonçalves-Maia France
Thierry Christophe France
Patricia Barral United Kingdom
Kaori Ide relative to Maja A. Hofmann Germany Maja A. Hofmann's profile →
Citations per field
00.5×3.6×
Maja A. Hofmann · 1×
Citations per year

Countries citing papers authored by Kaori Ide

Since Specialization
Citations

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

Fields of papers citing papers by Kaori Ide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004204
2 2010181
3 2006130
4 201043
5 201142
6 200939
7 199538
8 201136
9 200328
10 199425
11 200925
12 201924
13 200923
14 201923
15 200721
16 202317
17 200317
18 201415
19 200914
20 201313

About Kaori Ide

Kaori Ide is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Dermatology, Oncology and Immunology, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (5 papers), Veterinary Oncology Research (5 papers), Skin and Cellular Biology Research (5 papers), Hair Growth and Disorders (5 papers), Virus-based gene therapy research (4 papers), HER2/EGFR in Cancer Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Autoimmune Bullous Skin Diseases (3 papers). The work is most often cited by research in Molecular Biology (706 citations), Dermatology (81 citations), Biophysics (44 citations), Microbiology (47 citations) and Immunology and Allergy (38 citations). Kaori Ide has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takeshi Nagashima, Noriko Yumoto, Mariko Hatakeyama, Koji Nishifuji, Takashi Nakakuki, Toshiroh Iwasaki, Yuko Saeki, Mariko Okada, Akihiko Konagaya and Makoto Kano. Their work appears in journals such as Veterinary Dermatology, American Journal of Veterinary Research, Journal of Biological Chemistry, Veterinary Immunology and Immunopathology and Biochemical and Biophysical Research Communications.

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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