Daichi Shigemizu

2.9k total citations
52 papers, 1.5k citations indexed

About

Daichi Shigemizu is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Daichi Shigemizu has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 20 papers in Genetics and 18 papers in Physiology. Recurrent topics in Daichi Shigemizu's work include Genetic Associations and Epidemiology (13 papers), Alzheimer's disease research and treatments (13 papers) and Bioinformatics and Genomic Networks (8 papers). Daichi Shigemizu is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Alzheimer's disease research and treatments (13 papers) and Bioinformatics and Genomic Networks (8 papers). Daichi Shigemizu collaborates with scholars based in Japan, Australia and Fiji. Daichi Shigemizu's co-authors include Tatsuhiko Tsunoda, Keith A. Boroevich, Alok Sharma, Edwin Vans, Shintaro Akiyama, Kouichi Ozaki, Shumpei Niida, Susumu Goto, Minoru Kanehisa and Yuki Moriya and has published in prestigious journals such as Nucleic Acids Research, Circulation and PLoS ONE.

In The Last Decade

Daichi Shigemizu

47 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daichi Shigemizu Japan 23 879 257 191 179 135 52 1.5k
Dokyoon Kim United States 22 1.1k 1.3× 365 1.4× 281 1.5× 95 0.5× 251 1.9× 111 1.9k
Ying Xiao China 30 1.2k 1.3× 67 0.3× 353 1.8× 261 1.5× 81 0.6× 147 2.6k
Rohan Gupta India 19 810 0.9× 68 0.3× 132 0.7× 141 0.8× 121 0.9× 63 2.0k
Giulia Fiscon Italy 23 1.1k 1.2× 71 0.3× 467 2.4× 90 0.5× 89 0.7× 62 1.6k
Wilson Wen Bin Goh Singapore 23 1.2k 1.4× 142 0.6× 172 0.9× 56 0.3× 181 1.3× 102 2.2k
Jingwen Yan United States 21 720 0.8× 253 1.0× 44 0.2× 180 1.0× 162 1.2× 76 1.6k
Yuping Chen China 24 911 1.0× 110 0.4× 289 1.5× 59 0.3× 162 1.2× 117 2.3k
Wei‐Yi Cheng United States 16 636 0.7× 147 0.6× 192 1.0× 52 0.3× 98 0.7× 47 1.4k
Elvira Agrón United States 35 862 1.0× 85 0.3× 152 0.8× 137 0.8× 40 0.3× 109 3.9k
Adam Kowalczyk Australia 20 1.1k 1.3× 344 1.3× 293 1.5× 256 1.4× 218 1.6× 46 2.4k

Countries citing papers authored by Daichi Shigemizu

Since Specialization
Citations

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

Fields of papers citing papers by Daichi Shigemizu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daichi Shigemizu

This figure shows the co-authorship network connecting the top 25 collaborators of Daichi Shigemizu. A scholar is included among the top collaborators of Daichi Shigemizu 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 Daichi Shigemizu. Daichi Shigemizu 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.
2.
Ozaki, Kouichi, Yuko Saito, Daichi Shigemizu, et al.. (2025). Genome and transcriptome-wide association studies identify multiple novel loci for dementia with grain in Japanese. Journal of Human Genetics.
3.
4.
Fujita, Kosuke, Tetsuaki Kimura, Shumpei Niida, et al.. (2025). Genetic background and multidomain interventions in mild cognitive impairment. Alzheimer s Research & Therapy. 17(1). 130–130.
5.
Shigemizu, Daichi, Koya Fukunaga, Kosuke Fujita, et al.. (2024). The HLA-DRB1*09:01-DQB1*03:03 haplotype is associated with the risk for late-onset Alzheimer’s disease in APOE $${{\varepsilon }}$$4–negative Japanese adults. PubMed. 10(1). 3–3. 3 indexed citations
6.
Kimura, Tetsuaki, Kosuke Fujita, Takashi Sakurai, et al.. (2024). Whole-genome sequencing to identify rare variants in East Asian patients with dementia with Lewy bodies. PubMed. 10(1). 52–52. 2 indexed citations
7.
Asanomi, Yuya, Daichi Shigemizu, Shintaro Akiyama, et al.. (2021). Dementia subtype prediction models constructed by penalized regression methods for multiclass classification using serum microRNA expression data. Scientific Reports. 11(1). 20947–20947. 9 indexed citations
8.
Chandra, Abel, Alok Sharma, Abdollah Dehzangi, Daichi Shigemizu, & Tatsuhiko Tsunoda. (2019). Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix. BMC Molecular and Cell Biology. 20(S2). 57–57. 15 indexed citations
9.
Asanomi, Yuya, Daichi Shigemizu, Akinori Miyashita, et al.. (2019). A rare functional variant of SHARPIN attenuates the inflammatory response and associates with increased risk of late-onset Alzheimer’s disease. Molecular Medicine. 25(1). 20–20. 29 indexed citations
10.
Shigemizu, Daichi, Shintaro Akiyama, Yuya Asanomi, et al.. (2019). A comparison of machine learning classifiers for dementia with Lewy bodies using miRNA expression data. BMC Medical Genomics. 12(1). 150–150. 28 indexed citations
11.
Shigemizu, Daichi, Shintaro Akiyama, Azusa Tanaka, et al.. (2019). Identification of intermediate-sized deletions and inference of their impact on gene expression in a human population. Genome Medicine. 11(1). 44–44. 8 indexed citations
12.
Sharma, Alok, Edwin Vans, Daichi Shigemizu, Keith A. Boroevich, & Tatsuhiko Tsunoda. (2019). DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture. Scientific Reports. 9(1). 11399–11399. 259 indexed citations
13.
Shigemizu, Daichi, Fuyuki Miya, Shintaro Akiyama, et al.. (2018). IMSindel: An accurate intermediate-size indel detection tool incorporating de novo assembly and gapped global-local alignment with split read analysis. Scientific Reports. 8(1). 5608–5608. 20 indexed citations
14.
Sharma, Alok, Daichi Shigemizu, Keith A. Boroevich, et al.. (2016). Stepwise iterative maximum likelihood clustering approach. BMC Bioinformatics. 17(1). 319–319. 13 indexed citations
15.
Shigemizu, Daichi, Yukihide Momozawa, Takashi Morizono, et al.. (2015). Performance comparison of four commercial human whole-exome capture platforms. Scientific Reports. 5(1). 12742–12742. 55 indexed citations
16.
Shigemizu, Daichi, Takeshi Aiba, Hidewaki Nakagawa, et al.. (2015). Exome Analyses of Long QT Syndrome Reveal Candidate Pathogenic Mutations in Calmodulin-Interacting Genes. PLoS ONE. 10(7). e0130329–e0130329. 23 indexed citations
17.
Miya, Fuyuki, Mitsuhiro Kato, Tadashi Shiohama, et al.. (2015). A combination of targeted enrichment methodologies for whole-exome sequencing reveals novel pathogenic mutations. Scientific Reports. 5(1). 9331–9331. 13 indexed citations
18.
Aiba, Takeshi, Kohei Ishibashi, Mitsuru Wada, et al.. (2014). Abstract 13817: Clinical Significance of Whole Exome Analysis Using Next Generation Sequencing in the Genotype-negative Long-QT Syndrome. Circulation. 130. 1 indexed citations
19.
Hà, Nguyễn Hải, Ryo Takata, Shusuke Akamatsu, et al.. (2012). IRX4 at 5p15 suppresses prostate cancer growth through the interaction with vitamin D receptor, conferring prostate cancer susceptibility. Human Molecular Genetics. 21(9). 2076–2085. 35 indexed citations
20.
Shigemizu, Daichi, Zhenjun Hu, Jui‐Hung Hung, et al.. (2012). Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer. PLoS Computational Biology. 8(2). e1002347–e1002347. 54 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dokyoon Kim Breakdown of academic impact, for papers by Ying Xiao Breakdown of academic impact, for papers by Rohan Gupta Breakdown of academic impact, for papers by Giulia Fiscon Breakdown of academic impact, for papers by Wilson Wen Bin Goh Breakdown of academic impact, for papers by Jingwen Yan Breakdown of academic impact, for papers by Yuping Chen Breakdown of academic impact, for papers by Wei‐Yi Cheng Breakdown of academic impact, for papers by Elvira Agrón Breakdown of academic impact, for papers by Adam Kowalczyk
Rankless by CCL
2026