Chiyomi Ito

1.8k total citations
9 papers, 362 citations indexed

About

Chiyomi Ito is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Chiyomi Ito has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Chiyomi Ito's work include Muscle Physiology and Disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Virus-based gene therapy research (2 papers). Chiyomi Ito is often cited by papers focused on Muscle Physiology and Disorders (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Virus-based gene therapy research (2 papers). Chiyomi Ito collaborates with scholars based in Japan and Canada. Chiyomi Ito's co-authors include Tatsushi Toda, Nobutaka Hattori, Miho Murata, Ikuko Mizuta, Wataru Satake, Mitsutoshi Yamamoto, Yoshitaka Nagai, Satoko Suzuki, Shigeo Murayama and Jiro Fukae and has published in prestigious journals such as PLoS ONE, Scientific Reports and Human Molecular Genetics.

In The Last Decade

Chiyomi Ito

9 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chiyomi Ito Japan	8	211	173	168	55	52	9	362
Lumine Matsumoto Japan	5	206 1.0×	152 0.9×	130 0.8×	84 1.5×	36 0.7×	6	373
Durga Praveen Meka Germany	10	178 0.8×	109 0.6×	171 1.0×	43 0.8×	42 0.8×	13	374
S. A. Klyushnikov Russia	10	299 1.4×	103 0.6×	238 1.4×	47 0.9×	30 0.6×	38	441
Eugénie Mutez France	12	171 0.8×	283 1.6×	160 1.0×	31 0.6×	74 1.4×	28	427
Carol X.‐Q. Chen Canada	10	243 1.2×	149 0.9×	122 0.7×	29 0.5×	44 0.8×	16	385
Kohji Kato Japan	9	130 0.6×	138 0.8×	187 1.1×	50 0.9×	64 1.2×	21	384
Yacen Hu China	11	118 0.6×	192 1.1×	116 0.7×	49 0.9×	29 0.6×	20	317
E. Koenig United States	6	232 1.1×	131 0.8×	88 0.5×	45 0.8×	66 1.3×	13	405
Xiaobing Qing Germany	10	294 1.4×	117 0.7×	157 0.9×	40 0.7×	42 0.8×	13	434
Sandrine Jacquier France	7	161 0.8×	143 0.8×	93 0.6×	63 1.1×	57 1.1×	8	338

Countries citing papers authored by Chiyomi Ito

Since Specialization

Citations

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

Fields of papers citing papers by Chiyomi Ito

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiyomi Ito

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

All Works

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9 of 9 papers shown

Sudo, Atsushi, Motoi Kanagawa, Mai Kondo, et al.. (2018). Temporal requirement of dystroglycan glycosylation during brain development and rescue of severe cortical dysplasia via gene delivery in the fetal stage. Human Molecular Genetics. 27(7). 1174–1185. 19 indexed citations

Kanagawa, Motoi, Chih‐Chieh Yu, Chiyomi Ito, et al.. (2015). Fukutin is prerequisite to ameliorate muscular dystrophic phenotype by myofiber-selective LARGE expression. Scientific Reports. 5(1). 8316–8316. 23 indexed citations

Kanagawa, Motoi, et al.. (2014). Contribution of Dysferlin Deficiency to Skeletal Muscle Pathology in Asymptomatic and Severe Dystroglycanopathy Models: Generation of a New Model for Fukuyama Congenital Muscular Dystrophy. PLoS ONE. 9(9). e106721–e106721. 2 indexed citations

Kanagawa, Motoi, Chih‐Chieh Yu, Chiyomi Ito, et al.. (2013). Impaired viability of muscle precursor cells in muscular dystrophy with glycosylation defects and amelioration of its severe phenotype by limited gene expression. Human Molecular Genetics. 22(15). 3003–3015. 39 indexed citations

Mizuta, Ikuko, Kazuaki Takafuji, Yukio Ando, et al.. (2013). YY1 binds to α-synuclein 3′-flanking region SNP and stimulates antisense noncoding RNA expression. Journal of Human Genetics. 58(11). 711–719. 26 indexed citations

Popiel, H. Akiko, Toshihide Takeuchi, Hiromi Fujita, et al.. (2012). Hsp40 Gene Therapy Exerts Therapeutic Effects on Polyglutamine Disease Mice via a Non-Cell Autonomous Mechanism. PLoS ONE. 7(11). e51069–e51069. 34 indexed citations

Chiyonobu, Tomohiro, Shin Hayashi, Kazuhiro Kobayashi, et al.. (2007). Partial tandem duplication of GRIA3 in a male with mental retardation. American Journal of Medical Genetics Part A. 143A(13). 1448–1455. 19 indexed citations

Satake, Wataru, Ikuko Mizuta, Satoko Suzuki, et al.. (2007). Fibroblast growth factor 20 gene and Parkinson's disease in the Japanese population. Neuroreport. 18(9). 937–940. 30 indexed citations

Mizuta, Ikuko, Wataru Satake, Chiyomi Ito, et al.. (2006). Multiple candidate gene analysis identifies α-synuclein as a susceptibility gene for sporadic Parkinson's disease. Human Molecular Genetics. 15(7). 1151–1158. 170 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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