Hideki Noguchi
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 12
- vaccines and immunoinformatics approaches 6
- Protist diversity and phylogeny 4
- RNA and protein synthesis mechanisms 4
- Ecology top 2%
- Microbial Community Ecology and Physiology 4
- Bacteriophages and microbial interactions 4
- Genetics top 5%
- Food Science top 2%
- Pollution top 5%
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- Immunotherapy and Immune Responses 6
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- Chromosomal and Genetic Variations 4
- Co-authors
- Toshihisa TakagiJung‐Ho ParkAtsushi ToyodaTakehiko ItohYoshitoshi OguraTetsuya HayashiAsao FujiyamaHirokazu Tanaka
- Cited by
- Molecular BiologyEcologyGenetics
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Hideki Noguchi
51 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.6k
- Ecology 708
- Genetics 636
- Food Science 337
- Pollution 193
Countries citing papers authored by Hideki Noguchi
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
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
The 25 scholars most cited alongside Hideki Noguchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 8 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 2 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 3 | |
| 10 | 2017 | 31 | |
| 11 | Efficient de novo assembly of highly heterozygous genomes from whole-genome shotgun short readsbreakdown → | 2014 | 717 |
| 12 | 2013 | 75 | |
| 13 | 2007 | 19 | |
| 14 | 2006 | 82 | |
| 15 | 2006 | 62 | |
| 16 | 2004 | 73 | |
| 17 | 2002 | 23 | |
| 18 | 2002 | 40 | |
| 19 | 1999 | 0 | |
| 20 | 1995 | 1 |
About Hideki Noguchi
Hideki Noguchi is a scholar working on Molecular Biology, Genetics, Oceanography, Microbiology and Clinical Biochemistry, having authored 53 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), vaccines and immunoinformatics approaches (6 papers), Immunotherapy and Immune Responses (6 papers), Protist diversity and phylogeny (4 papers), RNA and protein synthesis mechanisms (4 papers), Microbial Community Ecology and Physiology (4 papers), Bacteriophages and microbial interactions (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Ecology (708 citations), Genetics (636 citations), Food Science (337 citations) and Pollution (193 citations). Hideki Noguchi has collaborated with scholars based in Japan, United States and Italy. Frequent 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. Their work appears in journals such as DNA Research, Genome Research, PLoS ONE, Scientific Reports and Applied and Environmental 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.