Rui Yamaguchi

6.8k total citations
167 papers, 3.2k citations indexed

About

Rui Yamaguchi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Rui Yamaguchi has authored 167 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 34 papers in Oncology and 23 papers in Immunology. Recurrent topics in Rui Yamaguchi's work include Gene expression and cancer classification (31 papers), Bioinformatics and Genomic Networks (31 papers) and Gene Regulatory Network Analysis (24 papers). Rui Yamaguchi is often cited by papers focused on Gene expression and cancer classification (31 papers), Bioinformatics and Genomic Networks (31 papers) and Gene Regulatory Network Analysis (24 papers). Rui Yamaguchi collaborates with scholars based in Japan, United States and Brazil. Rui Yamaguchi's co-authors include Satoru Miyano, Seiya Imoto, Masao Nagasaki, Tomoyuki Higuchi, Teppei Shimamura, Ryo Yoshida, André Fujita, Hiromichi Ebi, Yuta Adachi and Ryo Kimura and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Genetics.

In The Last Decade

Rui Yamaguchi

162 papers receiving 3.2k citations

Peers

Rui Yamaguchi
David Tuck United States
Yuting Liu China
Michael Shi United States
Davood Bashash Iran
Karthik Devarajan United States
Xiaowei Yan United States
Keunsoo Kang South Korea
Maria Fiammetta Romano Italy
William L. Bigbee United States
Qiuyan Chen China
David Tuck United States
Rui Yamaguchi
Citations per year, relative to Rui Yamaguchi Rui Yamaguchi (= 1×) peers David Tuck

Countries citing papers authored by Rui Yamaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Rui Yamaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rui Yamaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Rui Yamaguchi. A scholar is included among the top collaborators of Rui Yamaguchi 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 Rui Yamaguchi. Rui Yamaguchi 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.
Onishi, Sachiyo, Takamichi Kuwahara, Masahiro Tajika, et al.. (2025). Artificial intelligence for body composition assessment focusing on sarcopenia. Scientific Reports. 15(1). 1324–1324. 2 indexed citations
2.
Nakamura, Yusuke, Kazuma Kiyotani, Seiya Imoto, et al.. (2024). Comparative analysis of the B cell receptor repertoire during relapse and remission in patients with multiple sclerosis. Clinical Immunology. 269. 110398–110398. 2 indexed citations
3.
Fukuhara, Shinichiro, T. Imanaka, Koichi Okada, et al.. (2024). KEAP1–NRF2 system regulates age‐related spermatogenesis dysfunction. Reproductive Medicine and Biology. 23(1). e12595–e12595. 4 indexed citations
4.
Kuwatsuka, Yachiyo, Rika Kasajima, Rui Yamaguchi, et al.. (2024). Machine Learning Prediction Model for Neutrophil Recovery after Unrelated Cord Blood Transplantation. Transplantation and Cellular Therapy. 30(4). 444.e1–444.e11. 1 indexed citations
5.
Moi, Meng Ling, Rui Yamaguchi, Shin‐ichi Sawada, et al.. (2024). Low-frequency CD8+ T cells induced by SIGN-R1+ macrophage-targeted vaccine confer SARS-CoV-2 clearance in mice. npj Vaccines. 9(1). 173–173. 1 indexed citations
6.
7.
Hasegawa, Takanori, Masanori Kakuta, Rui Yamaguchi, et al.. (2022). Impact of salivary and pancreatic amylase gene copy numbers on diabetes, obesity, and functional profiles of microbiome in Northern Japanese population. Scientific Reports. 12(1). 7 indexed citations
8.
Fujishita, Teruaki, Yasushi Kojima, Rie Kajino‐Sakamoto, et al.. (2022). The cAMP/PKA/CREB and TGFβ/SMAD4 Pathways Regulate Stemness and Metastatic Potential in Colorectal Cancer Cells. Cancer Research. 82(22). 4179–4190. 36 indexed citations
9.
Zhang, Yaozhong, Satoru Miyano, Rui Yamaguchi, et al.. (2022). Identification of bacteriophage genome sequences with representation learning. Bioinformatics. 38(18). 4264–4270. 17 indexed citations
10.
Hasegawa, Takanori, Rui Yamaguchi, Masanori Kakuta, et al.. (2021). Application of state-space model with skew-t measurement noise to blood test value prediction. Applied Mathematical Modelling. 100. 365–378. 1 indexed citations
11.
Adachi, Yuta, Kentaro Ito, Yuko Hayashi, et al.. (2020). Epithelial-to-Mesenchymal Transition is a Cause of Both Intrinsic and Acquired Resistance to KRAS G12C Inhibitor in KRAS G12C–Mutant Non–Small Cell Lung Cancer. Clinical Cancer Research. 26(22). 5962–5973. 146 indexed citations
12.
Kakuta, Masanori, Takanori Hasegawa, Rui Yamaguchi, et al.. (2020). Metagenomic analysis of bacterial species in tongue microbiome of current and never smokers. npj Biofilms and Microbiomes. 6(1). 39 indexed citations
13.
Konishi, Hiroki, Rui Yamaguchi, Kiyoshi Yamaguchi, Yoichi Furukawa, & Seiya Imoto. (2020). Halcyon: an accurate basecaller exploiting an encoder–decoder model with monotonic attention. Bioinformatics. 37(9). 1211–1217. 14 indexed citations
14.
Kakuta, Masanori, Takanori Hasegawa, Rui Yamaguchi, et al.. (2020). Metagenomic profiling of gut microbiome in early chronic kidney disease. Nephrology Dialysis Transplantation. 36(9). 1675–1684. 44 indexed citations
15.
Muraoka, Daisuke, Naohiro Seo, Tae Hayashi, et al.. (2019). Antigen delivery targeted to tumor-associated macrophages overcomes tumor immune resistance. Journal of Clinical Investigation. 129(3). 1278–1294. 117 indexed citations
16.
Yamaguchi, Kiyoshi, Eigo Shimizu, Rui Yamaguchi, et al.. (2019). Development of an MSI-positive colon tumor with aberrant DNA methylation in a PPAP patient. Journal of Human Genetics. 64(8). 729–740. 7 indexed citations
17.
Yokoyama, Kazuaki, Eigo Shimizu, Miho Ogawa, et al.. (2019). Prognostic impact of circulating tumor DNA status post–allogeneic hematopoietic stem cell transplantation in AML and MDS. Blood. 133(25). 2682–2695. 71 indexed citations
18.
Hayashi, Shuto, Rui Yamaguchi, Shinichi Mizuno, et al.. (2018). ALPHLARD: a Bayesian method for analyzing HLA genes from whole genome sequence data. BMC Genomics. 19(1). 16 indexed citations
19.
Tsuda, Yusuke, Chizu Tanikawa, Takafumi Miyamoto, et al.. (2017). Identification of a p53 target, CD137L, that mediates growth suppression and immune response of osteosarcoma cells. Scientific Reports. 7(1). 10739–10739. 4 indexed citations
20.
Yoshino, Tetsuhiro, Kotoe Katayama, K Munakata, et al.. (2014). Kampo Traditional Pattern Diagnosis and the Clustering Analysis of Patients with Cold Sensation. The Journal of Alternative and Complementary Medicine. 20(5). A47–A47. 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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