Shuji Kawaguchi

3.1k total citations
22 papers, 362 citations indexed

About

Shuji Kawaguchi is a scholar working on Molecular Biology, Genetics and Media Technology. According to data from OpenAlex, Shuji Kawaguchi has authored 22 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Media Technology. Recurrent topics in Shuji Kawaguchi's work include Remote-Sensing Image Classification (5 papers), Genetic Associations and Epidemiology (3 papers) and Remote Sensing and Land Use (2 papers). Shuji Kawaguchi is often cited by papers focused on Remote-Sensing Image Classification (5 papers), Genetic Associations and Epidemiology (3 papers) and Remote Sensing and Land Use (2 papers). Shuji Kawaguchi collaborates with scholars based in Japan, Canada and France. Shuji Kawaguchi's co-authors include Fumihiko Matsuda, Ryuei Nishii, Ryo Yamada, Koichiro Higasa, Masakazu Shimizu, Tasuku Honjo, Kenji Chamoto, Hironori Yoshida, Hiroaki Ozasa and Sidonia Fagarasan and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Shuji Kawaguchi

19 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuji Kawaguchi Japan 7 121 113 81 43 36 22 362
Xianmin Li China 6 117 1.0× 18 0.2× 46 0.6× 48 1.1× 21 0.6× 20 323
Shaocong Mo China 10 71 0.6× 61 0.5× 56 0.7× 8 0.2× 3 0.1× 29 230
Hua Shi China 10 271 2.2× 17 0.2× 54 0.7× 33 0.8× 4 0.1× 45 465
Hongxia Cui China 13 210 1.7× 45 0.4× 133 1.6× 4 0.1× 3 0.1× 51 514
Fangfang Li China 11 30 0.2× 35 0.3× 53 0.7× 16 0.4× 6 0.2× 35 290
Xinxing Wu China 17 586 4.8× 130 1.2× 124 1.5× 17 0.4× 1 0.0× 46 875
Danfeng Zhao China 10 272 2.2× 38 0.3× 32 0.4× 3 0.1× 5 0.1× 38 549
Ke Ye China 14 128 1.1× 52 0.5× 110 1.4× 3 0.1× 57 751
Ana Isabel Mendes Portugal 10 69 0.6× 57 0.5× 34 0.4× 9 0.2× 15 329
Lingxi Chen China 10 161 1.3× 43 0.4× 39 0.5× 1 0.0× 5 0.1× 43 337

Countries citing papers authored by Shuji Kawaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Shuji Kawaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuji Kawaguchi

This figure shows the co-authorship network connecting the top 25 collaborators of Shuji Kawaguchi. A scholar is included among the top collaborators of Shuji Kawaguchi 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 Shuji Kawaguchi. Shuji Kawaguchi 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.
Higasa, Koichiro, Yoichiro Kamatani, Takahisa Kawaguchi, et al.. (2025). Whole-genome sequencing of 3135 individuals representing the genetic diversity of the Japanese population. Journal of Human Genetics. 71(4). 223–230.
2.
Kawaguchi, Takahisa, Yoichiro Kamatani, Koichiro Ohmura, et al.. (2024). Identification of epistatic SNP combinations in rheumatoid arthritis using LAMPLINK and Japanese cohorts. Journal of Human Genetics. 69(10). 541–547.
3.
Morita, Y., Yoichiro Kamatani, Shiro Ikegawa, et al.. (2023). Improved genetic prediction of the risk of knee osteoarthritis using the risk factor-based polygenic score. Arthritis Research & Therapy. 25(1). 103–103. 4 indexed citations
4.
Koga, Tomohiro, Fumiaki Nonaka, Shin‐ya Kawashiri, et al.. (2023). Identification of risk factors for elevated serum IgG4 levels in subjects in a large-scale health checkup cohort study. Frontiers in Immunology. 14. 1124417–1124417. 3 indexed citations
5.
Kawaguchi, Shuji, Kazuhiro Sonomura, Takahisa Kawaguchi, et al.. (2023). A phenome-wide association study (PheWAS) to identify the health impacts of 4-cresol sulfate in the Nagahama Study. Scientific Reports. 13(1). 13926–13926. 2 indexed citations
6.
Morita, Y., Hiromu Ito, Shuji Kawaguchi, et al.. (2022). Systemic chronic diseases coexist with and affect locomotive syndrome: The Nagahama Study. Modern Rheumatology. 33(3). 608–616. 1 indexed citations
7.
Morita, Y., Hiromu Ito, Shuji Kawaguchi, et al.. (2022). Physical and financial impacts caused by the COVID-19 pandemic exacerbate knee pain: A longitudinal study of a large-scale general population. Modern Rheumatology. 33(2). 373–380. 2 indexed citations
8.
Iwasaki, Takeshi, Yoichiro Kamatani, Kazuhiro Sonomura, et al.. (2022). Genetic influences on human blood metabolites in the Japanese population. iScience. 26(1). 105738–105738. 2 indexed citations
9.
Hatae, Ryusuke, Kenji Chamoto, Young Hak Kim, et al.. (2019). Combination of host immune metabolic biomarkers for the PD-1 blockade cancer immunotherapy. JCI Insight. 5(2). 63 indexed citations
10.
Kawaguchi, Shuji, Koichiro Higasa, Ryo Yamada, & Fumihiko Matsuda. (2018). Comprehensive HLA Typing from a Current Allele Database Using Next-Generation Sequencing Data. Methods in molecular biology. 1802. 225–233. 6 indexed citations
11.
Kawaguchi, Shuji, Koichiro Higasa, Masakazu Shimizu, Ryo Yamada, & Fumihiko Matsuda. (2017). HLA‐HD: An accurate HLA typing algorithm for next‐generation sequencing data. Human Mutation. 38(7). 788–797. 135 indexed citations
12.
Terao, Chikashi, Masao Ôta, Masahiro Shiokawa, et al.. (2016). OP0238 Fcgr2b and Multiple Hla Loci Are Associated with Susceptibility To IGG4-Related Disease. Annals of the Rheumatic Diseases. 75. 148–148. 1 indexed citations
13.
Iida, Kei, Shuji Kawaguchi, Norio Kobayashi, et al.. (2011). ARTADE2DB: Improved Statistical Inferences for Arabidopsis Gene Functions and Structure Predictions by Dynamic Structure-Based Dynamic Expression (DSDE) Analyses. Plant and Cell Physiology. 52(2). 254–264. 11 indexed citations
14.
Matsui, Akihiro, Junko Ishida, Taeko Morosawa, et al.. (2010). Arabidopsis Tiling Array Analysis to Identify the Stress-Responsive Genes. Methods in molecular biology. 639. 141–155. 21 indexed citations
15.
Makita, Yuko, Norio Kobayashi, Yoshiki Mochizuki, et al.. (2009). PosMed-plus: An Intelligent Search Engine that Inferentially Integrates Cross-Species Information Resources for Molecular Breeding of Plants. Plant and Cell Physiology. 50(7). 1249–1259. 9 indexed citations
16.
Kawaguchi, Shuji, et al.. (2009). Information security governance framework. 1–6. 37 indexed citations
17.
Kawaguchi, Shuji & Ryuei Nishii. (2007). Hyperspectral Image Classification by Bootstrap AdaBoost With Random Decision Stumps. IEEE Transactions on Geoscience and Remote Sensing. 45(11). 3845–3851. 53 indexed citations
18.
Kawaguchi, Shuji, et al.. (2006). Unsupervised Contextual Classification of Remotely Sensed Imagery by Taking Mixel Information into Account. National Remote Sensing Bulletin. 26(2). 107–116. 1 indexed citations
19.
Kawaguchi, Shuji & Ryuei Nishii. (2006). Contextual unsupervised classification of remotely sensed imagery with mixels. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6365. 63650R–63650R.
20.
Kawaguchi, Shuji & Ryuei Nishii. (2006). Hyperspectral Image Classification by AdaBoost with Decision Stumps Based on Composed Feature Variables. 936–939. 2 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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