Itoshi Nikaido

4.9k total citations
46 papers, 2.3k citations indexed

About

Itoshi Nikaido is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Itoshi Nikaido has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 8 papers in Cancer Research and 5 papers in Genetics. Recurrent topics in Itoshi Nikaido's work include Single-cell and spatial transcriptomics (15 papers), Pluripotent Stem Cells Research (7 papers) and RNA Research and Splicing (7 papers). Itoshi Nikaido is often cited by papers focused on Single-cell and spatial transcriptomics (15 papers), Pluripotent Stem Cells Research (7 papers) and RNA Research and Splicing (7 papers). Itoshi Nikaido collaborates with scholars based in Japan, United States and Italy. Itoshi Nikaido's co-authors include Tetsutaro Hayashi, Yohei Sasagawa, Hiroki Danno, Hiroki R. Ueda, Kenichiro D. Uno, Mana Umeda, Takeshi Imai, Hirotaka Matsumoto, Hisanori Kiryu and Chikara Furusawa and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Itoshi Nikaido

45 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Itoshi Nikaido Japan 23 1.8k 373 323 172 152 46 2.3k
Jie Yan China 30 2.0k 1.1× 463 1.2× 378 1.2× 257 1.5× 81 0.5× 73 3.2k
Brian A. Link United States 42 3.1k 1.7× 159 0.4× 564 1.7× 137 0.8× 125 0.8× 114 4.7k
Craig J. Ceol United States 18 1.6k 0.9× 234 0.6× 159 0.5× 453 2.6× 102 0.7× 34 2.6k
Nathan C. Sheffield United States 20 2.1k 1.2× 375 1.0× 540 1.7× 166 1.0× 62 0.4× 52 2.6k
Jina Yun United States 11 1.9k 1.1× 286 0.8× 232 0.7× 308 1.8× 335 2.2× 13 2.3k
Michael L. Gonzales United States 13 2.0k 1.1× 376 1.0× 476 1.5× 247 1.4× 144 0.9× 21 2.4k
Beth Martin United States 22 2.7k 1.5× 455 1.2× 1.1k 3.4× 144 0.8× 130 0.9× 35 3.5k
Dwight Stambolian United States 26 1.3k 0.7× 165 0.4× 333 1.0× 157 0.9× 70 0.5× 76 2.6k
Yodai Takei United States 8 2.4k 1.3× 332 0.9× 263 0.8× 259 1.5× 341 2.2× 11 2.7k
Alon Goren United States 21 3.3k 1.8× 638 1.7× 506 1.6× 436 2.5× 136 0.9× 35 4.0k

Countries citing papers authored by Itoshi Nikaido

Since Specialization
Citations

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

Fields of papers citing papers by Itoshi Nikaido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Itoshi Nikaido

This figure shows the co-authorship network connecting the top 25 collaborators of Itoshi Nikaido. A scholar is included among the top collaborators of Itoshi Nikaido 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 Itoshi Nikaido. Itoshi Nikaido 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.
Takase, Hinako M., et al.. (2024). Transcriptomic signatures of WNT-driven pathways and granulosa cell-oocyte interactions during primordial follicle activation. PLoS ONE. 19(10). e0311978–e0311978. 4 indexed citations
2.
Nikaido, Itoshi, et al.. (2023). nnTensor: An R package for non-negative matrix/tensordecomposition. The Journal of Open Source Software. 8(84). 5015–5015. 1 indexed citations
3.
Yamamoto, Kentaro, Yu Toyoshima, Hirofumi Sato, et al.. (2023). WormTensor: a clustering method for time-series whole-brain activity data from C. elegans. BMC Bioinformatics. 24(1). 254–254. 1 indexed citations
4.
Lin, Chia‐Wen, Hsu‐Wen Chao, Mikiko Konda, et al.. (2022). A common epigenetic mechanism across different cellular origins underlies systemic immune dysregulation in an idiopathic autism mouse model. Molecular Psychiatry. 27(8). 3343–3354. 13 indexed citations
5.
Ishihara, Satoru, Yohei Sasagawa, Hayato Yamashita, et al.. (2021). Local states of chromatin compaction at transcription start sites control transcription levels. Nucleic Acids Research. 49(14). 8007–8023. 17 indexed citations
6.
Morita, Ritsuko, Noriko Sanzen, Hiroko Sasaki, et al.. (2021). Tracing the origin of hair follicle stem cells. Nature. 594(7864). 547–552. 78 indexed citations
7.
Ochiai, Hiroshi, Tetsutaro Hayashi, Mana Umeda, et al.. (2020). Genome-wide kinetic properties of transcriptional bursting in mouse embryonic stem cells. Science Advances. 6(25). eaaz6699–eaaz6699. 62 indexed citations
8.
Sato, Hiroyuki, et al.. (2020). Benchmarking principal component analysis for large-scale single-cell RNA-sequencing. Genome biology. 21(1). 9–9. 70 indexed citations
9.
Matsumoto, Hirotaka, Tetsutaro Hayashi, Haruka Ozaki, et al.. (2019). An NMF-based approach to discover overlooked differentially expressed gene regions from single-cell RNA-seq data. NAR Genomics and Bioinformatics. 2(1). lqz020–lqz020. 2 indexed citations
10.
Hayashi, Tetsutaro, Haruka Ozaki, Yohei Sasagawa, et al.. (2018). Single-cell full-length total RNA sequencing uncovers dynamics of recursive splicing and enhancer RNAs. Nature Communications. 9(1). 619–619. 183 indexed citations
11.
Sanosaka, Tsukasa, Hironobu Okuno, Zhi Zhou, et al.. (2018). Chromatin remodeler CHD7 regulates the stem cell identity of human neural progenitors. Genes & Development. 32(2). 165–180. 29 indexed citations
12.
Matsumoto, Hirotaka, Hisanori Kiryu, Chikara Furusawa, et al.. (2017). SCODE: an efficient regulatory network inference algorithm from single-cell RNA-Seq during differentiation. Bioinformatics. 33(15). 2314–2321. 277 indexed citations
13.
Morota, Gota, et al.. (2015). MeSH ORA framework: R/Bioconductor\npackages to support MeSH over-representation\nanalysis. Insecta mundi. 34 indexed citations
14.
Yoshimoto, Nobuo, Masaya Kurokawa, Masumi Iijima, et al.. (2013). An automated system for high-throughput single cell-based breeding. Scientific Reports. 3(1). 1191–1191. 64 indexed citations
15.
Okamura-Oho, Yuko, Kazuro Shimokawa, Satoko Takemoto, et al.. (2012). Transcriptome Tomography for Brain Analysis in the Web-Accessible Anatomical Space. PLoS ONE. 7(9). e45373–e45373. 17 indexed citations
16.
Nakachi, Yutaka, Ken Yagi, Itoshi Nikaido, et al.. (2008). Identification of novel PPARγ target genes by integrated analysis of ChIP-on-chip and microarray expression data during adipocyte differentiation. Biochemical and Biophysical Research Communications. 372(2). 362–366. 51 indexed citations
17.
Bono, Hidemasa, Ken Yagi, Takeya Kasukawa, et al.. (2003). Systematic Expression Profiling of the Mouse Transcriptome Using RIKEN cDNA Microarrays. Genome Research. 13(6b). 1318–1323. 65 indexed citations
18.
Kasukawa, Takeya, Masaaki Furuno, Itoshi Nikaido, et al.. (2003). Development and Evaluation of an Automated Annotation Pipeline and cDNA Annotation System. Genome Research. 13(6b). 1542–1551. 27 indexed citations
19.
Mizuno, Yosuke, Yusuke Sotomaru, Tomohiro Kono, et al.. (2002). Asb4, Ata3, and Dcn Are Novel Imprinted Genes Identified by High-Throughput Screening Using RIKEN cDNA Microarray. Biochemical and Biophysical Research Communications. 290(5). 1499–1505. 119 indexed citations
20.
Nikaido, Itoshi. (2000). Generation of 10,154 Expressed Sequence Tags from a Leafy Gametophyte of a Marine Red Alga, Porphyra yezoensis. DNA Research. 7(3). 223–227. 137 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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