Hidemasa Bono

45.4k total citations · 3 hit papers
108 papers, 28.8k citations indexed

About

Hidemasa Bono is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Hidemasa Bono has authored 108 papers receiving a total of 28.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 20 papers in Genetics and 20 papers in Insect Science. Recurrent topics in Hidemasa Bono's work include Bioinformatics and Genomic Networks (17 papers), Genomics and Phylogenetic Studies (15 papers) and RNA and protein synthesis mechanisms (14 papers). Hidemasa Bono is often cited by papers focused on Bioinformatics and Genomic Networks (17 papers), Genomics and Phylogenetic Studies (15 papers) and RNA and protein synthesis mechanisms (14 papers). Hidemasa Bono collaborates with scholars based in Japan, United States and Australia. Hidemasa Bono's co-authors include Minoru Kanehisa, Susumu Goto, Hiroyuki Ogata, Wataru Fujibuchi, Yuki Naito, Kimihiro Hino, Kumiko Ui‐Tei, Yasushi Okazaki, Kiichi Hirota and Hiromasa Ono and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Hidemasa Bono

96 papers receiving 28.5k citations

Hit Papers

KEGG: Kyoto Encyclopedia of Genes and Genomes 1999 2026 2008 2017 1999 2014 2021 5.0k 10.0k 15.0k 20.0k 25.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. KEGG: Kyoto Encyclopedia of Genes and Genomes
    1999 25.5k citations Hiroyuki Ogata, Susumu Goto et al. Nucleic Acids Research profile →
  2. CRISPRdirect: software for designing CRISPR/Cas guide RNA with reduced off-target sites
    2014 918 citations Hidemasa Bono et al. profile →
  3. Full-length 16S rRNA gene amplicon analysis of human gut microbiota using MinION™ nanopore sequencing confers species-level resolution
    2021 209 citations Hidemasa Bono et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hidemasa Bono Japan 30 19.5k 3.7k 3.4k 3.0k 2.4k 108 28.8k
Wataru Fujibuchi Japan 25 18.4k 0.9× 3.7k 1.0× 2.9k 0.9× 2.6k 0.9× 2.3k 1.0× 69 27.4k
Miho Furumichi Japan 10 16.8k 0.9× 3.4k 0.9× 2.7k 0.8× 2.3k 0.8× 2.1k 0.9× 11 26.0k
Jaime Huerta‐Cepas Spain 35 19.3k 1.0× 3.3k 0.9× 3.8k 1.1× 3.1k 1.0× 2.6k 1.1× 59 30.8k
Andrew Kasarskis United States 31 22.8k 1.2× 3.4k 0.9× 3.5k 1.1× 4.3k 1.4× 2.6k 1.1× 80 33.9k
Yoko Sato Japan 31 19.1k 1.0× 3.4k 0.9× 4.0k 1.2× 2.8k 0.9× 2.3k 0.9× 137 30.8k
Selina S. Dwight United States 13 23.2k 1.2× 3.3k 0.9× 3.6k 1.1× 4.0k 1.3× 2.4k 1.0× 20 32.2k
Allan Peter Davis United States 32 25.8k 1.3× 3.7k 1.0× 3.5k 1.0× 4.4k 1.5× 2.7k 1.1× 55 36.5k
Midori A. Harris United Kingdom 24 23.7k 1.2× 3.4k 0.9× 3.6k 1.1× 4.0k 1.3× 2.4k 1.0× 44 32.8k
David P. Hill United States 28 23.6k 1.2× 3.4k 0.9× 3.6k 1.1× 4.1k 1.4× 2.4k 1.0× 55 33.3k
Martin Ringwald United States 29 24.5k 1.3× 3.4k 0.9× 3.5k 1.0× 4.2k 1.4× 2.5k 1.1× 57 33.8k

Countries citing papers authored by Hidemasa Bono

Since Specialization
Citations

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

Fields of papers citing papers by Hidemasa Bono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hidemasa Bono

This figure shows the co-authorship network connecting the top 25 collaborators of Hidemasa Bono. A scholar is included among the top collaborators of Hidemasa Bono based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hidemasa Bono. Hidemasa Bono is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bono, Hidemasa, et al.. (2026). QPX: Pathway analysis environment.
2.
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Takenaka, Yasuhiro, Masataka Hirasaki, Hidemasa Bono, Shigeo Nakamura, & Yoshihiko Kakinuma. (2024). Transcriptome Analysis Reveals Enhancement of Cardiogenesis-Related Signaling Pathways by S-Nitroso-N-Pivaloyl-d-Penicillamine: Implications for Improved Diastolic Function and Cardiac Performance. Journal of Cardiovascular Pharmacology. 83(5). 433–445. 1 indexed citations
4.
Masuoka, Yudai, Akiya Jouraku, Takuya Tsubota, et al.. (2024). Time-course transcriptome data of silk glands in day 0–7 last-instar larvae of Bombyx mori (w1 pnd strain). Scientific Data. 11(1). 709–709.
5.
Toga, Kouhei, et al.. (2024). Genome-Wide Search for Gene Mutations Likely Conferring Insecticide Resistance in the Common Bed Bug, Cimex lectularius. Insects. 15(10). 737–737. 1 indexed citations
6.
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8.
Bono, Hidemasa, et al.. (2023). DANGER analysis: risk-averse on/off-target assessment for CRISPR editing without a reference genome. Bioinformatics Advances. 3(1). vbad114–vbad114. 1 indexed citations
9.
Tamura, Keita, Mika Sakamoto, Yasuhiro Tanizawa, et al.. (2022). A highly contiguous genome assembly of red perilla ( Perilla frutescens ) domesticated in Japan. DNA Research. 30(1). 11 indexed citations
10.
Bono, Hidemasa, et al.. (2022). Genome editing and bioinformatics. 3-4. 100018–100018. 7 indexed citations
11.
12.
Bono, Hidemasa, et al.. (2022). Systematic Functional Annotation Workflow for Insects. Insects. 13(7). 586–586. 11 indexed citations
13.
Oka, Kaori, Yoshimi Kawamura, Yoshihiro Komohara, et al.. (2022). Resistance to chemical carcinogenesis induction via a dampened inflammatory response in naked mole-rats. Communications Biology. 5(1). 287–287. 21 indexed citations
14.
Ono, Yoko & Hidemasa Bono. (2022). Exploratory meta-analysis of hypoxic transcriptomes using a precise transcript reference sequence set. Life Science Alliance. 6(1). e202201518–e202201518. 1 indexed citations
15.
Nakano, Michiharu, Hideki Hirakawa, Eigo Fukai, et al.. (2021). A chromosome-level genome sequence of Chrysanthemum seticuspe, a model species for hexaploid cultivated chrysanthemum. Communications Biology. 4(1). 1167–1167. 46 indexed citations
16.
Bono, Hidemasa. (2020). All of gene expression (AOE): An integrated index for public gene expression databases. PLoS ONE. 15(1). e0227076–e0227076. 17 indexed citations
17.
Bono, Hidemasa, Ken Yagi, Takeya Kasukawa, et al.. (2003). Systematic Expression Profiling of the Mouse Transcriptome Using RIKEN cDNA Microarrays. Genome Research. 13(6b). 1318–1323. 65 indexed citations
18.
Suzuki, Harukazu, Yoshifumi Fukunishi, Rintaro Saito, et al.. (2001). Protein–Protein Interaction Panel Using Mouse Full-Length cDNAs. Genome Research. 11(10). 1758–1765. 86 indexed citations
19.
Ogata, Hiroyuki, et al.. (1999). KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Research. 27(1). 29–34. 25542 indexed citations breakdown →
20.
Bono, Hidemasa, Susumu Goto, Hiroyuki Ogata, & Minoru Kanehisa. (1997). Genome Scale Prediction of Two-Component Signal Transducers from the Knowledgeof Regulatory Interactions. Proceedings Genome Informatics Workshop/Genome informatics. 8(8). 260–261. 1 indexed citations

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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