Koreaki Ito

14.6k citations
186 papers · 12.0k indexed · h-index 62

Impact in

Papers in

    • Bacterial Genetics and Biotechnology 120
    • Escherichia coli research studies 15

Koreaki Ito

184 papers receiving 11.6k citations

Peers

Koreaki Ito
Comparison fields: 5 of 123
  • Genetics 6.4k
  • Endocrinology 1.1k
  • Molecular Biology 10.0k
  • Cell Biology 1.8k
  • Molecular Medicine 544
Replace Tania A. Baker with:
Tania A. Baker United States
Joe Lutkenhaus United States
Teru Ogura Japan
Michael R. Maurizi United States
Axel Mogk Germany
William Wickner United States
James C.A. Bardwell United States
Stephen Busby United Kingdom
Richard R. Burgess United States
Alan D. Grossman United States
Koreaki Ito relative to Tania A. Baker United States Tania A. Baker's profile →
Citations per field
00.5×1.5×2.2×
Tania A. Baker · 1×
Citations per year

Countries citing papers authored by Koreaki Ito

Since Specialization
Citations

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

Fields of papers citing papers by Koreaki Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201146
2 201077
3 200856
4 200749
5 200774
6 200676
7 2006112
8 2002405
9 200122
10 2001227
11 20008
12 199917
13 199556
14 199567
15 19957
16 199247
17 19910
18 199020
19 199037
20 19870

About Koreaki Ito

Koreaki Ito is a scholar working on Genetics, Endocrinology, Cell Biology, Molecular Biology and Ecology, having authored 186 papers that have together received 12.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (120 papers), RNA and protein synthesis mechanisms (92 papers), Protein Structure and Dynamics (31 papers), Bacteriophages and microbial interactions (30 papers), Endoplasmic Reticulum Stress and Disease (30 papers), Enzyme Structure and Function (24 papers), RNA modifications and cancer (17 papers) and Escherichia coli research studies (15 papers). The work is most often cited by research in Genetics (6.4k citations), Endocrinology (1.1k citations), Molecular Biology (10.0k citations), Cell Biology (1.8k citations) and Molecular Medicine (544 citations). Koreaki Ito has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshinori Akiyama, Hitoshi Nakatogawa, Hiroyuki Mori, Takashi Yura, Akio Kihara, Shinobu Chiba, Kenji Inaba, William Wickner, Kiyotaka Shiba and Satoshi Kishigami. Their work appears in journals such as Journal of Biological Chemistry, Journal of Bacteriology, Proceedings of the National Academy of Sciences, The EMBO Journal and Molecular Microbiology.

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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