Hiroko Itô

80 papers receiving 1.3k citations

Peers

Hiroko Itô
Comparison fields: 5 of 125
  • Aging 166
  • Endocrine and Autonomic Systems 129
  • Sensory Systems 36
  • Molecular Biology 463
  • Instrumentation 23
Replace Paul E. Kroeger with:
Paul E. Kroeger United States
Pablo Raúl Castello Argentina
Takamasa Ishii Japan
F Hu China
Douglas A. Hinerfeld United States
Andrej Ja. Podlutsky United States
Sun Hee Yim United States
Richard C. Davis United States
Lindsay E. Wu Australia
Asish Ray Chaudhuri United States
Hiroko Itô relative to Paul E. Kroeger United States Paul E. Kroeger's profile →
Citations per field
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Paul E. Kroeger · 1×
Citations per year

Countries citing papers authored by Hiroko Itô

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Itô

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011211
2 1994145
3 2006135
4 197466
5 200659
6 200549
7
Homozygosity mapping of the gene for Chediak-Higashi syndrome to chromosome 1q42-q44 in a segment of conserved synteny that includes the mouse beige locus (bg).
199649
8 200948
9 200545
10 197340
11 201432
12 200527
13 197924
14 200623
15 200923
16 199623
17 198822
18 201021
19
Inhibition of lung metastasis by a calmodulin antagonist, N-(6-aminohexyl)-5-chloro-1-naphthalenesulfonamide (W-7), in mice bearing Lewis lung carcinoma.
199118
20 199917

About Hiroko Itô

Hiroko Itô is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Molecular Biology, Epidemiology and Oral Surgery, having authored 91 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (6 papers), Ear and Head Tumors (5 papers), Heavy metals in environment (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Stellar, planetary, and galactic studies (4 papers), Influenza Virus Research Studies (3 papers), Gamma-ray bursts and supernovae (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Aging (166 citations), Endocrine and Autonomic Systems (129 citations), Sensory Systems (36 citations), Molecular Biology (463 citations) and Instrumentation (23 citations). Hiroko Itô has collaborated with scholars based in Japan, United States and Poland. Frequent co-authors include Hitoshi Inada, Ikue Mori, Yoshiaki Inukai, Yuka Kitomi, Tokunori Hobo, Koichiro Aya, Hidemi Kitano, John S. Satterlee, Kunihiro Matsumoto and Piali Sengupta. Their work appears in journals such as Diagnostic Cytopathology, European Journal of Pharmacology, Journal of Biological Chemistry, Genomics and Archives of Biochemistry and Biophysics.

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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