Keiro Uchino

3.3k citations
73 papers · 2.4k · h-index 30

Impact in

Papers in

    • Viral Infectious Diseases and Gene Expression in Insects 31
    • Insect Resistance and Genetics 19
    • CRISPR and Genetic Engineering 9
    • Silk-based biomaterials and applications 39

Keiro Uchino

71 papers receiving 2.4k citations

Peers

Keiro Uchino
Comparison fields: 5 of 88
  • Insect Science 1.0k
  • Biomaterials 813
  • Cellular and Molecular Neuroscience 722
  • Molecular Biology 1.4k
  • Immunology 400
Replace Michal Žurovec with:
Michal Žurovec Czechia
Tingcai Cheng China
Takaaki Daimon Japan
Paul D. Shirk United States
Marian R. Goldsmith United States
Pierre Couble France
Anjiang Tan China
Muwang Li China
Susumu Izumi Japan
J. Joe Hull United States
Keiro Uchino relative to Michal Žurovec Czechia Michal Žurovec's profile →
Citations per field
00.5×3.7×
Michal Žurovec · 1×
Citations per year

Countries citing papers authored by Keiro Uchino

Since Specialization
Citations

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

Fields of papers citing papers by Keiro Uchino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012184
2 2012141
3 2007130
4 2010124
5 201196
6 200796
7 201081
8 201478
9 200872
10 200967
11 201265
12 201360
13 201158
14 200857
15 200755
16 201254
17 201253
18 201252
19 201050
20 200950

About Keiro Uchino

Keiro Uchino is a scholar working on Molecular Biology, Biomaterials, Insect Science, Cellular and Molecular Neuroscience and Immunology, having authored 73 papers that have together received 2.4k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (39 papers), Viral Infectious Diseases and Gene Expression in Insects (31 papers), Neurobiology and Insect Physiology Research (26 papers), Invertebrate Immune Response Mechanisms (20 papers), Insect Resistance and Genetics (19 papers), Silkworms and Sericulture Research (14 papers), Insect and Arachnid Ecology and Behavior (9 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Insect Science (1.0k citations), Biomaterials (813 citations), Cellular and Molecular Neuroscience (722 citations), Molecular Biology (1.4k citations) and Immunology (400 citations). Keiro Uchino has collaborated with scholars based in Japan, Czechia and United States. Frequent co-authors include Hideki Sezutsu, Toshiki Tamura, Isao Kobayashi, Yoko Takasu, Yutaka Banno, Tetsuya Iizuka, Kazuei Mita, Michal Žurovec, Takaaki Daimon and Susumu Katsuma. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Scientific Reports, Insect Molecular Biology, Proceedings of the National Academy of Sciences and Journal of Insect Physiology.

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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