Kenichiro Ito

2.0k citations
65 papers · 1.6k · h-index 24

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 9
    • RNA Interference and Gene Delivery 7
    • Glycosylation and Glycoproteins Research 6

Kenichiro Ito

65 papers receiving 1.6k citations

Peers

Kenichiro Ito
Comparison fields: 5 of 104
  • Cell Biology 284
  • Endocrinology 87
  • Molecular Biology 904
  • Immunology and Allergy 63
  • Rheumatology 136
Replace Yohko U. Katagiri with:
Yohko U. Katagiri Japan
Takashi Sato Japan
Gioacchin Iannolo Italy
Pamela S. Adams United States
Dan Duksin Israel
Rachid Marhaba Germany
Fabrice Allain France
Paola Fortugno Italy
Juhani Saarinen Finland
S. Shin United States
Kenichiro Ito relative to Yohko U. Katagiri Japan Yohko U. Katagiri's profile →
Citations per field
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Yohko U. Katagiri · 1×
Citations per year

Countries citing papers authored by Kenichiro Ito

Since Specialization
Citations

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

Fields of papers citing papers by Kenichiro Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010157
2 200995
3 201593
4 198776
5
Molecular mechanisms of corticosteroid actions.
200073
6 197868
7 197864
8 201960
9 198259
10 201352
11 197849
12 201248
13 198944
14 197940
15 202038
16 202034
17 201132
18 199931
19 202431
20 201731

About Kenichiro Ito

Kenichiro Ito is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 65 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), RNA Interference and Gene Delivery (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Proteoglycans and glycosaminoglycans research (7 papers), Glycosylation and Glycoproteins Research (6 papers), Escherichia coli research studies (6 papers), Osteoarthritis Treatment and Mechanisms (5 papers) and Liver physiology and pathology (5 papers). The work is most often cited by research in Cell Biology (284 citations), Endocrinology (87 citations), Molecular Biology (904 citations), Immunology and Allergy (63 citations) and Rheumatology (136 citations). Kenichiro Ito has collaborated with scholars based in Japan, United States and Armenia. Frequent co-authors include Makoto Komiyama, Yan Xu, Koji Kimata, S Suzuki, Yuta Suzuki, Hiroaki Suga, Ian M. Adcock, Mitsuko Sobue, Sakaru Suzuki and Toby Passioura. Their work appears in journals such as Journal of Biological Chemistry, Biological and Pharmaceutical Bulletin, Molecular Pharmaceutics, Chemical Communications and Journal of the American Chemical Society.

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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