Keisuke Iida

2.8k citations
95 papers · 2.4k · h-index 30

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 40
    • Advanced biosensing and bioanalysis techniques 37
    • RNA Interference and Gene Delivery 26
    • RNA and protein synthesis mechanisms 6
    • Bone Metabolism and Diseases 5
    • Glutathione Transferases and Polymorphisms 3
    • Click Chemistry and Applications 4

Keisuke Iida

95 papers receiving 2.4k citations

Peers

Keisuke Iida
Comparison fields: 5 of 126
  • Molecular Biology 1.6k
  • Applied Microbiology and Biotechnology 38
  • Oral Surgery 70
  • Biochemistry 62
  • Organic Chemistry 291
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Citations per field
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Citations per year

Countries citing papers authored by Keisuke Iida

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013160
2 2015134
3 2002130
4 2018128
5 2014106
6 2002105
7 202092
8 201569
9 201061
10 200958
11 201754
12 201449
13 201646
14 201346
15 200745
16 200944
17 201740
18 201739
19 201939
20 201437

About Keisuke Iida

Keisuke Iida is a scholar working on Molecular Biology, Organic Chemistry, Genetics, Oncology and Biomedical Engineering, having authored 95 papers that have together received 2.4k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (40 papers), Advanced biosensing and bioanalysis techniques (37 papers), RNA Interference and Gene Delivery (26 papers), RNA and protein synthesis mechanisms (6 papers), Bone Metabolism and Diseases (5 papers), Click Chemistry and Applications (4 papers), Cancer Cells and Metastasis (3 papers) and Glutathione Transferases and Polymorphisms (3 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Applied Microbiology and Biotechnology (38 citations), Oral Surgery (70 citations), Biochemistry (62 citations) and Organic Chemistry (291 citations). Keisuke Iida has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kazuo Nagasawa, Masayuki Tera, Yue Ma, Ichiro Nishimura, Masami Suganuma, Kazuo Shin‐ya, Kazunori Ikebukuro, Brahim Heddi, Hirota Fujiki and Anh Tuân Phan. Their work appears in journals such as Scientific Reports, Journal of the American Chemical Society, Molecules, Organic & Biomolecular Chemistry 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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