Yuichi Aoki

3.3k total citations
60 papers, 1.7k citations indexed

About

Yuichi Aoki is a scholar working on Molecular Biology, Plant Science and Mechanics of Materials. According to data from OpenAlex, Yuichi Aoki has authored 60 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 19 papers in Plant Science and 4 papers in Mechanics of Materials. Recurrent topics in Yuichi Aoki's work include Bioinformatics and Genomic Networks (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Yuichi Aoki is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Plant-Microbe Interactions and Immunity (9 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). Yuichi Aoki collaborates with scholars based in Japan, United States and Spain. Yuichi Aoki's co-authors include Kengo Kinoshita, Takeshi Obayashi, Shu Tadaka, Yuki Kagaya, Yasunobu Okamura, Akifumi Sugiyama, Kazufumi Yazaki, Satoshi Ito, Masaru Nakayasu and Matsuyuki Shirota and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and Molecular and Cellular Biology.

In The Last Decade

Yuichi Aoki

55 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuichi Aoki Japan 22 1.0k 620 167 101 64 60 1.7k
Fang Yuan China 20 657 0.6× 875 1.4× 87 0.5× 52 0.5× 15 0.2× 45 1.7k
Hongyu Yuan China 26 856 0.8× 692 1.1× 97 0.6× 158 1.6× 26 0.4× 102 2.0k
Lili Ma China 22 696 0.7× 419 0.7× 63 0.4× 195 1.9× 26 0.4× 61 1.3k
Wu China 19 933 0.9× 314 0.5× 106 0.6× 146 1.4× 19 0.3× 264 1.6k
Zhiwen Ding China 15 952 0.9× 545 0.9× 34 0.2× 118 1.2× 33 0.5× 41 1.3k
John M. Humphreys United States 18 1.6k 1.5× 707 1.1× 56 0.3× 22 0.2× 29 0.5× 39 2.1k
Jun Ito Japan 24 1.8k 1.7× 1.5k 2.4× 94 0.6× 58 0.6× 68 1.1× 75 2.9k
Wenjie Lu China 22 874 0.8× 442 0.7× 138 0.8× 235 2.3× 15 0.2× 61 1.4k
Jianhua Chen China 22 637 0.6× 193 0.3× 88 0.5× 50 0.5× 11 0.2× 80 1.3k
Eunpyo Moon South Korea 24 1.0k 1.0× 238 0.4× 81 0.5× 85 0.8× 18 0.3× 43 2.0k

Countries citing papers authored by Yuichi Aoki

Since Specialization
Citations

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

Fields of papers citing papers by Yuichi Aoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuichi Aoki

This figure shows the co-authorship network connecting the top 25 collaborators of Yuichi Aoki. A scholar is included among the top collaborators of Yuichi Aoki 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 Yuichi Aoki. Yuichi Aoki 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.
Yamada, K, et al.. (2024). A novel microfluidic chip for on-site radiation risk evaluation. The Analyst. 149(24). 5883–5893.
2.
Motoike, Ikuko N., Eiji Hishinuma, Yuichi Aoki, et al.. (2024). Identifying critical age and gender-based metabolomic shifts in a Japanese population of the Tohoku Medical Megabank cohort. Scientific Reports. 14(1). 15681–15681.
3.
Aoki, Yuichi, et al.. (2023). Enterocloster alcoholdehydrogenati sp. nov., a Novel Bacterial Species Isolated from the Feces of a Patient with Alcoholism. Current Microbiology. 80(5). 187–187. 2 indexed citations
4.
Suzuki, Takafumi, Satsuki Muto, Kengo Yamawaki, et al.. (2023). Effects of NRF2 polymorphisms on safety and efficacy of bardoxolone methyl: subanalysis of TSUBAKI study. Clinical and Experimental Nephrology. 28(3). 225–234.
5.
Nakayasu, Masaru, Yuichi Aoki, Hisabumi Takase, et al.. (2023). Apoplast-Localized β-Glucosidase Elevates Isoflavone Accumulation in the Soybean Rhizosphere. Plant and Cell Physiology. 64(5). 486–500. 8 indexed citations
6.
Nakayasu, Masaru, Yuichi Aoki, Masaru Kobayashi, et al.. (2023). α‐Tomatine gradient across artificial roots recreates the recruitment of tomato root‐associated Sphingobium. Plant Direct. 7(12). e550–e550. 4 indexed citations
7.
Obayashi, Takeshi, et al.. (2022). ATTED-II v11: A Plant Gene Coexpression Database Using a Sample Balancing Technique by Subagging of Principal Components. Plant and Cell Physiology. 63(6). 869–881. 64 indexed citations
8.
Waki, Toshiyuki, Mikiya Kato, Takashi Negishi, et al.. (2021). Identification of the Genes Coding for Carthamin Synthase, Peroxidase Homologs that Catalyze the Final Enzymatic Step of Red Pigmentation in Safflower (Carthamus tinctorius L.). Plant and Cell Physiology. 62(10). 1528–1541. 5 indexed citations
9.
Saito, Sakae, Yuichi Aoki, Maki Goto, et al.. (2021). Oral Microbiome Analysis in Prospective Genome Cohort Studies of the Tohoku Medical Megabank Project. Frontiers in Cellular and Infection Microbiology. 10. 604596–604596. 18 indexed citations
10.
Ishida, N., Yuichi Aoki, Fumiki Katsuoka, et al.. (2020). Landscape of electrophilic and inflammatory stress-mediated gene regulation in human lymphoblastoid cell lines. Free Radical Biology and Medicine. 161. 71–83. 4 indexed citations
11.
Koshiba, S., Ikuko N. Motoike, Daisuke Saigusa, et al.. (2020). Identification of critical genetic variants associated with metabolic phenotypes of the Japanese population. Communications Biology. 3(1). 662–662. 19 indexed citations
12.
Sakurai, Nozomu, Masaru Nakayasu, Kazuhiko Matsuda, et al.. (2020). Metabolome Analysis Identified Okaramines in the Soybean Rhizosphere as a Legacy of Hairy Vetch. Frontiers in Genetics. 11. 114–114. 12 indexed citations
13.
Nakayasu, Masaru, et al.. (2020). Diurnal metabolic regulation of isoflavones and soyasaponins in soybean roots. Plant Direct. 4(11). e00286–e00286. 21 indexed citations
14.
Yamaguchi, Yasuka L., Javier Cabrera, Satoru Nakagami, et al.. (2017). Root-Knot and Cyst Nematodes Activate Procambium-Associated Genes in Arabidopsis Roots. Frontiers in Plant Science. 8. 1195–1195. 48 indexed citations
15.
Tadaka, Shu, Daisuke Saigusa, Ikuko N. Motoike, et al.. (2017). jMorp: Japanese Multi Omics Reference Panel. Nucleic Acids Research. 46(D1). D551–D557. 72 indexed citations
16.
Aoki, Yuichi, Seiji Takahashi, Yoshiyuki Ogata, et al.. (2014). Identification of laticifer-specific genes and their promoter regions from a natural rubber producing plant Hevea brasiliensis. Plant Science. 225. 1–8. 27 indexed citations
17.
Okamura, Yasunobu, Yuichi Aoki, Takeshi Obayashi, et al.. (2014). COXPRESdb in 2015: coexpression database for animal species by DNA-microarray and RNAseq-based expression data with multiple quality assessment systems. Nucleic Acids Research. 43(D1). D82–D86. 124 indexed citations
18.
Obayashi, Takeshi, Yasunobu Okamura, Satoshi Ito, et al.. (2013). ATTED-II in 2014: Evaluation of Gene Coexpression in Agriculturally Important Plants. Plant and Cell Physiology. 55(1). e6–e6. 79 indexed citations
19.
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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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