Michiaki Kubo

86.1k total citations · 2 hit papers
385 papers, 18.3k citations indexed

About

Michiaki Kubo is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Michiaki Kubo has authored 385 papers receiving a total of 18.3k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Genetics, 112 papers in Molecular Biology and 59 papers in Epidemiology. Recurrent topics in Michiaki Kubo's work include Genetic Associations and Epidemiology (64 papers), Liver Disease Diagnosis and Treatment (26 papers) and Estrogen and related hormone effects (20 papers). Michiaki Kubo is often cited by papers focused on Genetic Associations and Epidemiology (64 papers), Liver Disease Diagnosis and Treatment (26 papers) and Estrogen and related hormone effects (20 papers). Michiaki Kubo collaborates with scholars based in Japan, United States and Italy. Michiaki Kubo's co-authors include Atsushi Takahashi, Yutaka Kiyohara, Mitsuo Iida, Naoyuki Kamatani, Yusuke Nakamura, Koichi Matsuda, Naoya Hosono, Yoichiro Kamatani, Yumihiro Tanizaki and Toshiharu Ninomiya and has published in prestigious journals such as Nature, Circulation and Nature Medicine.

In The Last Decade

Michiaki Kubo

380 papers receiving 17.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases

2018 413 citations Masato Akiyama, Atsushi Takahashi et al. profile →
Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing

2019 278 citations Yukihide Momozawa, Chikashi Terao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michiaki Kubo Japan	77	5.1k	4.3k	2.9k	2.1k	2.0k	385	18.3k
Jeffrey B. Kopp United States	88	8.6k 1.7×	2.5k 0.6×	2.4k 0.8×	1.9k 0.9×	1.7k 0.8×	377	25.3k
Atsushi Takahashi Japan	74	4.6k 0.9×	3.0k 0.7×	2.4k 0.8×	2.8k 1.3×	1.4k 0.7×	487	19.5k
Thomas J. Hudson Canada	70	10.0k 2.0×	5.8k 1.4×	2.5k 0.9×	2.3k 1.1×	1.6k 0.8×	227	20.1k
Matthias Kretzler United States	85	8.3k 1.6×	2.5k 0.6×	1.3k 0.5×	2.2k 1.0×	1.8k 0.9×	340	22.3k
Carl D. Langefeld United States	66	4.3k 0.9×	4.0k 0.9×	2.6k 0.9×	1.5k 0.7×	860 0.4×	423	17.6k
Kirby I. Bland United States	67	3.8k 0.7×	3.1k 0.7×	2.4k 0.8×	4.1k 1.9×	5.3k 2.6×	453	19.9k
Kerstin Amann Germany	74	6.7k 1.3×	2.2k 0.5×	1.4k 0.5×	2.9k 1.4×	1.8k 0.9×	584	24.4k
M.A. Karsdal Denmark	78	7.8k 1.5×	1.8k 0.4×	3.4k 1.2×	3.8k 1.8×	4.7k 2.3×	860	25.4k
Muredach P. Reilly United States	70	4.9k 1.0×	1.5k 0.4×	3.8k 1.3×	4.0k 1.9×	1.5k 0.8×	302	18.5k
Daniel J. Schaid United States	75	5.8k 1.1×	7.6k 1.8×	1.4k 0.5×	1.9k 0.9×	4.0k 1.9×	343	20.5k

Countries citing papers authored by Michiaki Kubo

Since Specialization

Citations

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

Fields of papers citing papers by Michiaki Kubo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michiaki Kubo

This figure shows the co-authorship network connecting the top 25 collaborators of Michiaki Kubo. A scholar is included among the top collaborators of Michiaki Kubo 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 Michiaki Kubo. Michiaki Kubo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Patel, Jai N., Chen Jiang, Kouros Owzar, et al.. (2024). Pharmacogenetic and clinical risk factors for bevacizumab-related gastrointestinal hemorrhage in prostate cancer patients treated on CALGB 90401 (Alliance). The Pharmacogenomics Journal. 24(2). 6–6.

Li, Yu, Xue Zhong, Kanix Wang, et al.. (2023). The high-dimensional space of human diseases built from diagnosis records and mapped to genetic loci. Nature Computational Science. 3(5). 403–417. 4 indexed citations

Ekuni, Daisuke, Daisuke Matsui, Teruhide Koyama, et al.. (2021). Comprehensive Analysis of Risk Factors for Periodontitis Focusing on the Saliva Microbiome and Polymorphism. International Journal of Environmental Research and Public Health. 18(12). 6430–6430. 5 indexed citations

Innocenti, Federico, Alexander B. Sibley, Amy S. Etheridge, et al.. (2020). Genomic Analysis of Germline Variation Associated with Survival of Patients with Colorectal Cancer Treated with Chemotherapy Plus Biologics in CALGB/SWOG 80405 (Alliance). Clinical Cancer Research. 27(1). 267–275. 13 indexed citations

Howles, Sarah, Akira Wiberg, Michelle Goldsworthy, et al.. (2019). Genetic variants of calcium and vitamin D metabolism in kidney stone disease. Nature Communications. 10(1). 5175–5175. 85 indexed citations

Dolan, M. Eileen, Heather E. Wheeler, Eric R. Gamazon, et al.. (2017). Clinical and Genome-Wide Analysis of Cisplatin-Induced Peripheral Neuropathy in Survivors of Adult-Onset Cancer. Clinical Cancer Research. 23(19). 5757–5768. 63 indexed citations

Qin, Sisi, James N. Ingle, Mohan Liu, et al.. (2017). Calmodulin-like protein 3 is an estrogen receptor alpha coregulator for gene expression and drug response in a SNP, estrogen, and SERM-dependent fashion. Breast Cancer Research. 19(1). 95–95. 23 indexed citations

Ingle, James N., Fang Xie, Matthew J. Ellis, et al.. (2016). Genetic Polymorphisms in the Long Noncoding RNA MIR2052HG Offer a Pharmacogenomic Basis for the Response of Breast Cancer Patients to Aromatase Inhibitor Therapy. Cancer Research. 76(23). 7012–7023. 43 indexed citations

Komatsu, Masaaki, Heather E. Wheeler, Suyoun Chung, et al.. (2015). Pharmacoethnicity in Paclitaxel-Induced Sensory Peripheral Neuropathy. Clinical Cancer Research. 21(19). 4337–4346. 36 indexed citations

10.

Benza, Raymond L., Mardi Gomberg‐Maitland, Teresa DeMarco, et al.. (2015). Endothelin-1 Pathway Polymorphisms and Outcomes in Pulmonary Arterial Hypertension. American Journal of Respiratory and Critical Care Medicine. 192(11). 1345–1354. 72 indexed citations

11.

Yamamoto, Yuki, Mamiko Miyamoto, Michiaki Kubo, et al.. (2014). A Rare Polymorphic Variant of NBS1 Reduces DNA Repair Activity and Elevates Chromosomal Instability. Cancer Research. 74(14). 3707–3715. 8 indexed citations

12.

Ingle, James N., Mohan Liu, D. Lawrence Wickerham, et al.. (2013). Selective Estrogen Receptor Modulators and Pharmacogenomic Variation in ZNF423 Regulation of BRCA1 Expression: Individualized Breast Cancer Prevention. Cancer Discovery. 3(7). 812–825. 56 indexed citations

13.

Yasui, Takahiro, Atsushi Okada, Yuji Urabe, et al.. (2013). A replication study for three nephrolithiasis loci at 5q35.3, 7p14.3 and 13q14.1 in the Japanese population. Journal of Human Genetics. 58(9). 588–593. 22 indexed citations

14.

Baldwin, R. Michael, Kouros Owzar, Hitoshi Zembutsu, et al.. (2012). A Genome-Wide Association Study Identifies Novel Loci for Paclitaxel-Induced Sensory Peripheral Neuropathy in CALGB 40101. Clinical Cancer Research. 18(18). 5099–5109. 160 indexed citations

15.

Wheeler, Heather E., Eric R. Gamazon, Claudia Wing, et al.. (2012). Integration of Cell Line and Clinical Trial Genome-Wide Analyses Supports a Polygenic Architecture of Paclitaxel-Induced Sensory Peripheral Neuropathy. Clinical Cancer Research. 19(2). 491–499. 49 indexed citations

16.

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

17.

Umeno, Junji, Kouichi Asano, Tomonaga Matsushita, et al.. (2011). Meta-analysis of published studies identified eight additional common susceptibility loci for Crohnʼs disease and ulcerative colitis. Inflammatory Bowel Diseases. 17(12). 2407–2415. 89 indexed citations

18.

Kiyohara, Yutaka, Michiaki Kubo, Kéiichi Tanaka, et al.. (2006). The Serum Pepsinogen Test as a Predictor of Gastric Cancer. American Journal of Epidemiology. 163(7). 629–637. 94 indexed citations

19.

Kubo, Michiaki, Yutaka Kiyohara, Isao Kato, et al.. (2003). Risk factors for renal glomerular and vascular changes in an autopsy-based population survey: The Hisayama Study. Kidney International. 63(4). 1508–1515. 71 indexed citations

20.

Kubo, Michiaki. (2001). Association of Breast Cancer with Meningioma: Report of a Case and Review of the Literature. Japanese Journal of Clinical Oncology. 31(10). 510–513. 24 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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