Hiroko Matsui

2.7k total citations
51 papers, 1.4k citations indexed

About

Hiroko Matsui is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Hiroko Matsui has authored 51 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Hiroko Matsui's work include Congenital heart defects research (8 papers), Genomics and Rare Diseases (6 papers) and Trace Elements in Health (5 papers). Hiroko Matsui is often cited by papers focused on Congenital heart defects research (8 papers), Genomics and Rare Diseases (6 papers) and Trace Elements in Health (5 papers). Hiroko Matsui collaborates with scholars based in Japan, United States and United Kingdom. Hiroko Matsui's co-authors include Kelly A. Frazer, Yumiko Nishimura, Erin N. Smith, Agnieszka D’Antonio‐Chronowska, Matteo D’Antonio, Yasuo Oyama, Tomohiro M. Oyama, David Jakubosky, Toshihisa B. Oyama and William W. Greenwald and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Genetics.

In The Last Decade

Hiroko Matsui

51 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
Hiroko Matsui Japan 21 813 273 110 109 108 51 1.4k
Justin R. Prigge United States 21 1.1k 1.4× 144 0.5× 92 0.8× 138 1.3× 103 1.0× 28 1.6k
Maria Cekanova United States 21 563 0.7× 174 0.6× 167 1.5× 80 0.7× 134 1.2× 51 1.7k
Shengquan Liu China 20 752 0.9× 115 0.4× 112 1.0× 98 0.9× 92 0.9× 57 1.4k
Xiefan Fang United States 28 817 1.0× 171 0.6× 255 2.3× 63 0.6× 162 1.5× 53 1.8k
Pablo Hernansanz‐Agustín Spain 16 885 1.1× 107 0.4× 205 1.9× 59 0.5× 112 1.0× 31 1.5k
Jiang Chen China 24 920 1.1× 148 0.5× 134 1.2× 48 0.4× 120 1.1× 66 1.7k
Jerry J. Gipp United States 26 1.8k 2.2× 217 0.8× 134 1.2× 104 1.0× 61 0.6× 47 2.3k
Shanshan Guo China 23 694 0.9× 124 0.5× 315 2.9× 109 1.0× 91 0.8× 105 1.5k
Xun Hu China 23 1.1k 1.4× 192 0.7× 236 2.1× 46 0.4× 84 0.8× 49 1.8k
Denis Nonclercq Belgium 25 673 0.8× 351 1.3× 95 0.9× 42 0.4× 32 0.3× 80 1.5k

Countries citing papers authored by Hiroko Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Matsui

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Matsui. A scholar is included among the top collaborators of Hiroko Matsui 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 Hiroko Matsui. Hiroko Matsui 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
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Jakubosky, David, Matteo D’Antonio, Marc Jan Bonder, et al.. (2020). Properties of structural variants and short tandem repeats associated with gene expression and complex traits. Nature Communications. 11(1). 2927–2927. 57 indexed citations
3.
Benaglio, Paola, Agnieszka D’Antonio‐Chronowska, Wubin Ma, et al.. (2019). Allele-specific NKX2-5 binding underlies multiple genetic associations with human electrocardiographic traits. Nature Genetics. 51(10). 1506–1517. 30 indexed citations
4.
D’Antonio, Matteo, Joaquin Reyna, David Jakubosky, et al.. (2019). Systematic genetic analysis of the MHC region reveals mechanistic underpinnings of HLA type associations with disease. University of Groningen research database (University of Groningen / Centre for Information Technology). 28 indexed citations
5.
Greenwald, William W., He Li, Paola Benaglio, et al.. (2019). Subtle changes in chromatin loop contact propensity are associated with differential gene regulation and expression. Nature Communications. 10(1). 1054–1054. 77 indexed citations
6.
Biswas, Pooja, Kari Branham, Shyamanga Borooah, et al.. (2018). IFT88 mutations identified in individuals with non-syndromic recessive retinal degeneration result in abnormal ciliogenesis. Human Genetics. 137(6-7). 447–458. 11 indexed citations
7.
D’Antonio, Matteo, Paola Benaglio, David Jakubosky, et al.. (2018). Insights into the Mutational Burden of Human Induced Pluripotent Stem Cells from an Integrative Multi-Omics Approach. Cell Reports. 24(4). 883–894. 54 indexed citations
8.
DeBoever, Christopher, He Li, David Jakubosky, et al.. (2017). Large-Scale Profiling Reveals the Influence of Genetic Variation on Gene Expression in Human Induced Pluripotent Stem Cells. Cell stem cell. 20(4). 533–546.e7. 97 indexed citations
9.
Smith, Erin N., Hiroko Matsui, Sigrid K. Brækkan, et al.. (2016). Associations Between Common and Rare Exonic Genetic Variants and Serum Levels of 20 Cardiovascular-Related Proteins. Circulation Cardiovascular Genetics. 9(4). 375–383. 12 indexed citations
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Nakajima, Yuji, et al.. (2009). Heart development before beating. Anatomical Science International. 84(3). 67–76. 25 indexed citations
12.
Fujimoto, Aya, Hiroko Matsui, Toshihisa B. Oyama, et al.. (2009). Cytometric Analysis of Cytotoxicity of Polyphenols and Related Phenolics to Rat Thymocytes: Potent Cytotoxicity of Resveratrol to Normal Cells. Basic & Clinical Pharmacology & Toxicology. 104(6). 455–462. 32 indexed citations
13.
Oyama, Keisuke, Hiroko Matsui, Toshihisa B. Oyama, et al.. (2008). Possible use of quercetin, an antioxidant, for protection of cells suffering from overload of intracellular Ca2+: A model experiment. Life Sciences. 83(5-6). 164–169. 84 indexed citations
14.
Oyama, Tomohiro M., et al.. (2007). Clotrimazole, an antifungal drug possessing diverse actions, increases membrane permeation of cadmium in rat thymocytes. Toxicology in Vitro. 21(8). 1505–1512. 5 indexed citations
15.
Sakabe, Masahide, Hiroko Matsui, Norifumi Kawada, et al.. (2006). Rho kinase inhibitor Y27632 affects initial heart myofibrillogenesis in cultured chick blastoderm. Developmental Dynamics. 236(2). 461–472. 14 indexed citations
16.
Nishimura, Yumiko, Tomohiro M. Oyama, Hiroko Matsui, et al.. (2006). Reciprocal effects of glucose on the process of cell death induced by calcium ionophore or H2O2 in rat lymphocytes. Toxicology. 225(2-3). 97–108. 18 indexed citations
17.
Sakabe, Masahide, et al.. (2005). Understanding heart development and congenital heart defects through developmental biology: A segmental approach. Congenital Anomalies. 45(4). 107–118. 28 indexed citations
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Nishizono‐Maher, Aya, et al.. (2004). The role of self-report questionnaire in the screening of postnatal depression. Social Psychiatry and Psychiatric Epidemiology. 39(3). 185–190. 11 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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