Yukihide Momozawa

18.5k total citations · 2 hit papers
109 papers, 3.2k citations indexed

About

Yukihide Momozawa is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Yukihide Momozawa has authored 109 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Genetics, 39 papers in Molecular Biology and 15 papers in Cancer Research. Recurrent topics in Yukihide Momozawa's work include Genetic Associations and Epidemiology (23 papers), Genomics and Rare Diseases (11 papers) and Cancer Genomics and Diagnostics (11 papers). Yukihide Momozawa is often cited by papers focused on Genetic Associations and Epidemiology (23 papers), Genomics and Rare Diseases (11 papers) and Cancer Genomics and Diagnostics (11 papers). Yukihide Momozawa collaborates with scholars based in Japan, United States and Belgium. Yukihide Momozawa's co-authors include Michiaki Kubo, Yoichiro Kamatani, Koichi Matsuda, Atsushi Takahashi, Masato Akiyama, Makoto Hirata, Yukinori Okada, Chikashi Terao, Yukari Takeuchi and Yuji Mori and has published in prestigious journals such as Nature, Nature Communications and Nature Genetics.

In The Last Decade

Yukihide Momozawa

100 papers receiving 3.1k 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 Masahiro Kanai, Masato Akiyama et al. profile →
Comprehensive evaluation of structural variation detection algorithms for whole genome sequencing

2019 278 citations Shunichi Kosugi, Yukihide Momozawa et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yukihide Momozawa Japan	30	1.4k	1.1k	442	394	308	109	3.2k
Danika L. Bannasch United States	32	1.2k 0.8×	1.5k 1.3×	196 0.4×	173 0.4×	188 0.6×	106	3.3k
Masami Morimatsu Japan	28	721 0.5×	1.4k 1.3×	465 1.1×	268 0.7×	150 0.5×	113	3.1k
Nick Orr United Kingdom	27	718 0.5×	1.4k 1.2×	356 0.8×	104 0.3×	131 0.4×	54	2.9k
Kim Summers Australia	34	955 0.7×	1.4k 1.2×	286 0.6×	347 0.9×	100 0.3×	157	4.6k
Teruki Miyake Japan	32	594 0.4×	686 0.6×	154 0.3×	1.3k 3.2×	179 0.6×	189	3.9k
Sarah A. Moore United States	22	227 0.2×	966 0.8×	719 1.6×	200 0.5×	390 1.3×	72	2.8k
Olle Kämpe Sweden	49	3.1k 2.2×	1.0k 0.9×	100 0.2×	485 1.2×	353 1.1×	165	7.8k
P. G. Knight United Kingdom	45	2.0k 1.5×	2.9k 2.5×	239 0.5×	103 0.3×	56 0.2×	152	7.9k
Patrick Shannon Canada	38	614 0.4×	1.2k 1.1×	265 0.6×	384 1.0×	312 1.0×	155	5.0k
Philip Owens United States	42	437 0.3×	1.7k 1.5×	494 1.1×	190 0.5×	127 0.4×	125	4.7k

Countries citing papers authored by Yukihide Momozawa

Since Specialization

Citations

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

Fields of papers citing papers by Yukihide Momozawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukihide Momozawa

This figure shows the co-authorship network connecting the top 25 collaborators of Yukihide Momozawa. A scholar is included among the top collaborators of Yukihide Momozawa 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 Yukihide Momozawa. Yukihide Momozawa 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

Nawa, Nobutoshi, Isao Oze, Hiroaki Ikezaki, et al.. (2025). Inverse association between fruit juice consumption and type 2 diabetes among individuals with high genetic risk on type 2 diabetes: the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. British Journal Of Nutrition. 134(2). 89–96.

Usui, Yoshiaki, Mikiko Endo, Yusuke Iwasaki, et al.. (2025). Clinical Significance of TP53 -Mutant Clonal Hematopoiesis Across Diseases. Blood Cancer Discovery. 6(4). 298–306.

Uno, Yasuhiro, Koya Fukunaga, Norie Murayama, et al.. (2025). Genetic variants in dog cytochrome P450 2B6 and their relevance to interindividual variability of oxidations of probe drug propofol. Drug Metabolism and Disposition. 53(12). 100189–100189.

Kato, Mayumi Kobayashi, Yukihide Momozawa, Masaaki Komatsu, et al.. (2024). Clinical features and impact of p53 status on sporadic mismatch repair deficiency and Lynch syndrome in uterine cancer. Cancer Science. 115(5). 1646–1655. 6 indexed citations

Nanri, Hinako, Megumi Hara, Yuichiro Nishida, et al.. (2024). Interaction between Habitual Green Tea and Coffee Consumption and ACTN3 Genotype in Association with Skeletal Muscle Mass and Strength in Middle-Aged and Older Adults. The Journal of Frailty & Aging. 13(3). 267–275. 3 indexed citations

Endo, Mikiko, Yoshiaki Usui, Yusuke Iwasaki, et al.. (2024). Germline Susceptibility to Renal Cell Carcinoma and Implications for Genetic Screening. JCO Precision Oncology. 8(8). e2400094–e2400094. 1 indexed citations

Kato, Mayumi Kobayashi, Takafumi Watanabe, Hisamori Kato, et al.. (2024). Prevalence and outcomes of germline pathogenic variants of homologous recombination repair genes in ovarian cancer. Cancer Science. 115(12). 3952–3962. 2 indexed citations

Liu, Xiaoxi, Satoshi Koyama, Kohei Tomizuka, et al.. (2024). Decoding triancestral origins, archaic introgression, and natural selection in the Japanese population by whole-genome sequencing. Science Advances. 10(16). eadi8419–eadi8419. 5 indexed citations

Liu, Xiaoxi, Masatoshi Matsunami, Momoko Horikoshi, et al.. (2023). Natural Selection Signatures in the Hondo and Ryukyu Japanese Subpopulations. Molecular Biology and Evolution. 40(10). 3 indexed citations

10.

Tamura, Kenji, Chiaki Kawada, Kazuhiro Maejima, et al.. (2023). Variant spectrum of von Hippel–Lindau disease and its genomic heterogeneity in Japan. Human Molecular Genetics. 32(12). 2046–2054. 6 indexed citations

11.

Song, Yanwei, Takeshi Nishiyama, Tin Louie, et al.. (2023). Multi-ancestry genome-wide analysis identifies shared genetic effects and common genetic variants for self-reported sleep duration. Human Molecular Genetics. 32(18). 2797–2807. 5 indexed citations

12.

Ji, Shuting, Asuka Suzuki, Yusuke Iwasaki, et al.. (2023). Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model. Journal of Human Genetics. 68(12). 849–857. 1 indexed citations

13.

Iwasaki, Yusuke, Todd A. Johnson, Chihiro Inai, et al.. (2022). Hereditary cancer variants and homologous recombination deficiency in biliary tract cancer. Journal of Hepatology. 78(2). 333–342. 18 indexed citations

14.

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

15.

Nakatochi, Masahiro, Yu Toyoda, Masahiro Kanai, et al.. (2021). An X chromosome-wide meta-analysis based on Japanese cohorts revealed that non-autosomal variations are associated with serum urate. Lara D. Veeken. 60(9). 4430–4432. 2 indexed citations

16.

Nishiguchi, Koji M., Hiroshi Kunikata, Kosuke Fujita, et al.. (2020). Association of CRX genotypes and retinal phenotypes confounded by variable expressivity and electronegative electroretinogram. Clinical and Experimental Ophthalmology. 48(5). 644–657. 14 indexed citations

17.

Okada, Yukinori, Yukihide Momozawa, Saori Sakaue, et al.. (2018). Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese. Nature Communications. 9(1). 1631–1631. 84 indexed citations

18.

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

19.

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

20.

Momozawa, Yukihide, Yukari Takeuchi, Ryo KUSUNOSE, Takefumi Kikusui, & Yuji Mori. (2005). Association between equine temperament and polymorphisms in dopamine D4 receptor gene. Mammalian Genome. 16(7). 538–544. 60 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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