Hideki Noguchi

6.1k total citations · 4 hit papers
53 papers, 3.7k citations indexed

About

Hideki Noguchi is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Hideki Noguchi has authored 53 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Plant Science. Recurrent topics in Hideki Noguchi's work include Genomics and Phylogenetic Studies (12 papers), vaccines and immunoinformatics approaches (6 papers) and Immunotherapy and Immune Responses (6 papers). Hideki Noguchi is often cited by papers focused on Genomics and Phylogenetic Studies (12 papers), vaccines and immunoinformatics approaches (6 papers) and Immunotherapy and Immune Responses (6 papers). Hideki Noguchi collaborates with scholars based in Japan, United States and Italy. Hideki Noguchi's co-authors include Toshihisa Takagi, Jung‐Ho Park, Atsushi Toyoda, Takehiko Itoh, Yoshitoshi Ogura, Tetsuya Hayashi, Asao Fujiyama, Hirokazu Tanaka, Toshihiko Ashikari and Katsunori Sugimoto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Hideki Noguchi

51 papers receiving 3.7k citations

Hit Papers

align trajectories

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.

MetaGene: prokaryotic gene finding from environmental genome shotgun sequences

2006 805 citations Hideki Noguchi et al. Nucleic Acids Research profile →
Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads

2014 717 citations Rei Kajitani, Hideki Noguchi et al. Genome Research profile →
Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes

2007 627 citations Takehiko Itoh, Tomomi Kuwahara et al. DNA Research profile →
S-phase checkpoint proteins Tof1 and Mrc1 form a stable replication-pausing complex

2003 559 citations Hideki Noguchi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hideki Noguchi Japan	21	2.6k	708	636	553	337	53	3.7k
Gary Xie United States	38	2.0k 0.7×	937 1.3×	368 0.6×	775 1.4×	283 0.8×	95	4.6k
Thomas Schmidt Switzerland	34	2.8k 1.1×	810 1.1×	552 0.9×	636 1.2×	415 1.2×	69	4.6k
Patrick J. Biggs New Zealand	31	2.6k 1.0×	566 0.8×	967 1.5×	564 1.0×	490 1.5×	162	5.0k
Pietro Alifano Italy	34	1.9k 0.7×	588 0.8×	744 1.2×	479 0.9×	357 1.1×	178	3.9k
Max Käller Sweden	12	2.6k 1.0×	679 1.0×	746 1.2×	693 1.3×	196 0.6×	31	5.0k
Måns Magnusson Sweden	6	2.4k 0.9×	640 0.9×	713 1.1×	636 1.2×	179 0.5×	7	4.7k
Amanda Birmingham United States	16	3.9k 1.5×	726 1.0×	427 0.7×	475 0.9×	158 0.5×	27	5.5k
Wei Shen China	24	2.0k 0.8×	1.0k 1.5×	428 0.7×	615 1.1×	230 0.7×	67	3.6k
Peter De Rijk Belgium	32	3.3k 1.2×	1.4k 2.0×	871 1.4×	730 1.3×	188 0.6×	64	5.2k
Ana Hernández-Plaza Spain	5	1.9k 0.7×	894 1.3×	301 0.5×	736 1.3×	272 0.8×	6	3.1k

Countries citing papers authored by Hideki Noguchi

Since Specialization

Citations

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

Fields of papers citing papers by Hideki Noguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideki Noguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Hideki Noguchi. A scholar is included among the top collaborators of Hideki Noguchi 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 Hideki Noguchi. Hideki Noguchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kato, Dai‐ichiro, Hirobumi Suzuki, Yukio Nagano, et al.. (2024). Genome assembly of Genji firefly (Nipponoluciola cruciata) reveals novel luciferase-like luminescent proteins without peroxisome targeting signal. DNA Research. 31(2). 3 indexed citations

Miyoshi, Keita, Shu Kondo, Naoki Tani, et al.. (2024). Mettl1-dependent m7G tRNA modification is essential for maintaining spermatogenesis and fertility in Drosophila melanogaster. Nature Communications. 15(1). 8147–8147. 8 indexed citations

Matsumura, Kentarou, Shinji Kondo, Hideki Noguchi, et al.. (2024). Transcriptomic comparison between populations selected for higher and lower mobility in the red flour beetle Tribolium castaneum. Scientific Reports. 14(1). 67–67. 1 indexed citations

Noguchi, Hideki, et al.. (2023). Genomic and Secretomic Analyses of the Newly Isolated Fungus Perenniporia fraxinea SS3 Identified CAZymes Potentially Related to a Serious Pathogenesis of Hardwood Trees. Applied and Environmental Microbiology. 89(5). e0027223–e0027223. 3 indexed citations

Mikami, Shintaro, Yoko Miura, Shinji Kondo, et al.. (2022). Nintedanib induces gene expression changes in the lung of induced-rheumatoid arthritis–associated interstitial lung disease mice. PLoS ONE. 17(6). e0270056–e0270056. 2 indexed citations

Yamamoto, Yoshimasa, et al.. (2022). Horizontal transfer of a plasmid possessing mcr-1 marked with a single nucleotide mutation between Escherichia coli isolates from community residents. BMC Research Notes. 15(1). 196–196. 3 indexed citations

Kon, Tetsuo, Zelin Chen, Kota Suzuki, et al.. (2022). Single-cell transcriptomics of the goldfish retina reveals genetic divergence in the asymmetrically evolved subgenomes after allotetraploidization. Communications Biology. 5(1). 1404–1404. 9 indexed citations

Kajitani, Rei, Hideki Noguchi, Yasuhiro Gotoh, et al.. (2021). MetaPlatanus: a metagenome assembler that combines long-range sequence links and species-specific features. Nucleic Acids Research. 49(22). e130–e130. 8 indexed citations

Mohsin, Mashkoor, Kaori Tanaka, Ryuji Kawahara, et al.. (2020). Whole-genome sequencing and comparative analysis of the genomes of Bacteroides thetaiotaomicron and Escherichia coli isolated from a healthy resident in Vietnam. Journal of Global Antimicrobial Resistance. 21. 65–67. 3 indexed citations

10.

Tatsumoto, Shoji, Yasuhiro Go, Hideki Noguchi, et al.. (2017). Direct estimation of de novo mutation rates in a chimpanzee parent-offspring trio by ultra-deep whole genome sequencing. Scientific Reports. 7(1). 13561–13561. 31 indexed citations

11.

Kajitani, Rei, Hideki Noguchi, Atsushi Toyoda, et al.. (2014). Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short reads. Genome Research. 24(8). 1384–1395. 717 indexed citations breakdown →

12.

Takada, Toyoyuki, Hideki Noguchi, Thomas Keane, et al.. (2013). The ancestor of extant Japanese fancy mice contributed to the mosaic genomes of classical inbred strains. Genome Research. 23(8). 1329–1338. 75 indexed citations

13.

Ikeda, Kazuyoshi, Shizu Takeda, Jun Otomo, et al.. (2007). An integrative in silico approach for discovering candidates for drug-targetable protein-protein interactions in interactome data. BMC Pharmacology. 7(1). 10–10. 19 indexed citations

14.

Kuroki, Yoko, Atsushi Toyoda, Hideki Noguchi, et al.. (2006). Comparative analysis of chimpanzee and human Y chromosomes unveils complex evolutionary pathway. Nature Genetics. 38(2). 158–167. 82 indexed citations

15.

Aruga, Jun, Hirokazu Takahashi, Takahiko J. Fujimi, et al.. (2006). A wide-range phylogenetic analysis of Zic proteins: Implications for correlations between protein structure conservation and body plan complexity. Genomics. 87(6). 783–792. 62 indexed citations

16.

Abe, Kuniya, Hideki Noguchi, Atsushi Toyoda, et al.. (2004). Contribution of Asian mouse subspeciesMus musculus molossinusto genomic constitution of strain C57BL/6J, as defined by BAC-end sequence–SNP analysis. Genome Research. 14(12). 2439–2447. 73 indexed citations

17.

Noguchi, Hideki, et al.. (2002). Hidden Markov Model-Based Prediction of Antigenic Peptides That Interact with MHC Class II Molecules. Journal of Bioscience and Bioengineering. 94(3). 264–270. 23 indexed citations

18.

Toyoda, Atsushi, Hideki Noguchi, Todd D. Taylor, et al.. (2002). Comparative Genomic Sequence Analysis of the Human Chromosome 21 Down Syndrome Critical Region. Genome Research. 12(9). 1323–1332. 40 indexed citations

19.

Noguchi, Hideki, Taizo Hanai, Hiroyuki Honda, & Takeshi Kobayashi. (1999). Prediction of MHC Class II-Peptide Interaction Using Fuzzy Neural Network. Proceedings Genome Informatics Workshop/Genome informatics. 10. 259–260.

20.

Tosa, Yukio, et al.. (1995). Geographical distribution of genes for resistance to formae speciales of Erysiphe graminis in common wheat. Theoretical and Applied Genetics. 91(1). 82–88. 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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