Naoki Osato

4.4k total citations
20 papers, 1.1k citations indexed

About

Naoki Osato is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Naoki Osato has authored 20 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cancer Research and 3 papers in Epidemiology. Recurrent topics in Naoki Osato's work include RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers) and Gene expression and cancer classification (4 papers). Naoki Osato is often cited by papers focused on RNA Research and Splicing (5 papers), Cancer-related molecular mechanisms research (4 papers) and Gene expression and cancer classification (4 papers). Naoki Osato collaborates with scholars based in Japan, United States and Italy. Naoki Osato's co-authors include Kazuho Ikeo, Yoshihide Hayashizaki, Itaru Yamanaka, Shinji Kondo, Hidenori Kiyosawa, Jun Kawai, Yoshiyuki Suzuki, Takashi Gojobori, Daisuke Kurotaki and Keiko Ozato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Naoki Osato

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Naoki Osato Japan	14	737	210	198	133	131	20	1.1k
Zhonghe Ke United States	13	751 1.0×	186 0.9×	117 0.6×	93 0.7×	134 1.0×	25	1.2k
Jens Preussner Germany	19	885 1.2×	121 0.6×	137 0.7×	122 0.9×	75 0.6×	25	1.2k
Hans-Peter Rahn Germany	14	1.2k 1.6×	129 0.6×	92 0.5×	145 1.1×	99 0.8×	17	1.6k
Imad Shams Israel	18	529 0.7×	64 0.3×	196 1.0×	198 1.5×	151 1.2×	34	981
Weiyang Shi United States	17	960 1.3×	89 0.4×	196 1.0×	138 1.0×	62 0.5×	27	1.2k
Diego Villar United Kingdom	15	1.2k 1.6×	100 0.5×	550 2.8×	366 2.8×	201 1.5×	18	1.6k
Gianluca Deflorian Italy	16	666 0.9×	88 0.4×	112 0.6×	111 0.8×	31 0.2×	24	1.1k
Yoichiro Nakatani Japan	13	662 0.9×	176 0.8×	56 0.3×	219 1.6×	218 1.7×	22	959
Natalia Soshnikova Germany	14	900 1.2×	66 0.3×	80 0.4×	242 1.8×	150 1.1×	23	1.0k
Huiling Xue China	13	1.1k 1.4×	72 0.3×	633 3.2×	75 0.6×	80 0.6×	25	1.4k

Countries citing papers authored by Naoki Osato

Since Specialization

Citations

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

Fields of papers citing papers by Naoki Osato

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Osato

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

Zeng, Chao, et al.. (2022). Bioinformatics Approaches for Determining the Functional Impact of Repetitive Elements on Non-coding RNAs. Methods in molecular biology. 2509. 315–340. 2 indexed citations

Seno, Shigeto, Takako Mukai, Yu‐Sheng Yeh, et al.. (2020). Glycerol kinase stimulates uncoupling protein 1 expression by regulating fatty acid metabolism in beige adipocytes. Journal of Biological Chemistry. 295(20). 7033–7045. 20 indexed citations

Sharma, Amit, Naoki Osato, Hongde Liu, et al.. (2019). Common genetic variants associated with Parkinson’s disease display widespread signature of epigenetic plasticity. Scientific Reports. 9(1). 18464–18464. 20 indexed citations

Sakai, Shoko, Shigeto Seno, Yu‐Sheng Yeh, et al.. (2019). Long non-coding RNA 2310069B03Rik functions as a suppressor of Ucp1 expression under prolonged cold exposure in murine beige adipocytes. Bioscience Biotechnology and Biochemistry. 84(2). 305–313. 11 indexed citations

Osato, Naoki, Shigeto Seno, Yutaka Uchida, et al.. (2019). Single-cell Transcriptome Analysis of Mouse Leukocytes in Inflammatory Stimulation. 1229–1231. 3 indexed citations

Seno, Shigeto, et al.. (2019). Improvement of detection performance of fusion genes from RNA-seq data by clustering short reads. Journal of Bioinformatics and Computational Biology. 17(3). 1940008–1940008.

Osato, Naoki. (2018). Characteristics of functional enrichment and gene expression level of human putative transcriptional target genes. BMC Genomics. 19(S1). 957–957. 1 indexed citations

Takeda, Kenichiro, Haruya Takahashi, Yu‐Sheng Yeh, et al.. (2018). The dipeptidyl peptidase‐4 (DPP‐4) inhibitor teneligliptin enhances brown adipose tissue function, thereby preventing obesity in mice. FEBS Open Bio. 8(11). 1782–1793. 15 indexed citations

Seno, Shigeto, et al.. (2018). Detection of Fusion Genes from Human Breast Cancer Cell-Line RNA-Seq Data Using Shifted Short Read Clustering. 159–162.

10.

Tabuchi, Tomoko M., Bart Deplancke, Naoki Osato, et al.. (2016). Chromosome-Biased Binding and Gene Regulation by the\n <em>Caenorhabditis elegans</em> DRM Complex. Figshare. 20 indexed citations

11.

Sasaki, Haruka, Daisuke Kurotaki, Naoki Osato, et al.. (2014). Transcription factor IRF8 plays a critical role in the development of murine basophils and mast cells. Blood. 125(2). 358–369. 49 indexed citations

12.

Kurotaki, Daisuke, Naoki Osato, Akira Nishiyama, et al.. (2013). Essential role of the IRF8-KLF4 transcription factor cascade in murine monocyte differentiation. Blood. 121(10). 1839–1849. 190 indexed citations

13.

Hayashi, Eriko, Gembu Abe, Naoki Osato, et al.. (2007). Insertional mutagenesis by theTol2transposon-mediated enhancer trap approach generated mutations in two developmental genes:tcf7andsynembryn-like. Development. 135(1). 159–169. 131 indexed citations

14.

Osato, Naoki, Yoshiyuki Suzuki, Kazuho Ikeo, & Takashi Gojobori. (2007). Transcriptional Interferences in cis Natural Antisense Transcripts of Humans and Mice. Genetics. 176(2). 1299–1306. 99 indexed citations

15.

Hwang, Jung Shan, Hajime Ohyanagi, Shiho Hayakawa, et al.. (2007). The evolutionary emergence of cell type-specific genes inferred from the gene expression analysis of Hydra. Proceedings of the National Academy of Sciences. 104(37). 14735–14740. 68 indexed citations

16.

Kanamori, Mutsumi, Hideaki Konno, Naoki Osato, et al.. (2004). A genome-wide and nonredundant mouse transcription factor database. Biochemical and Biophysical Research Communications. 322(3). 787–793. 98 indexed citations

17.

Suzuki, Harukazu, Shintaro Katayama, Noriko Ninomiya, et al.. (2004). Identification of region‐specific transcription factor genes in the adult mouse brain by medium‐scale real‐time RT‐PCR. FEBS Letters. 573(1-3). 214–218. 14 indexed citations

18.

Kiyosawa, Hidenori, et al.. (2003). Antisense Transcripts With FANTOM2 Clone Set and Their Implications for Gene Regulation. Genome Research. 13(6b). 1324–1334. 205 indexed citations

19.

Osato, Naoki, Hitomi Yamada, Kouji Satoh, et al.. (2003). Antisense transcripts with rice full-length cDNAs. Genome biology. 5(1). R5–R5. 108 indexed citations

20.

Osato, Naoki, Masayoshi Itoh, Hideaki Konno, et al.. (2002). A Computer-Based Method of Selecting Clones for a Full-Length cDNA Project: Simultaneous Collection of Negligibly Redundant and Variant cDNAs. Genome Research. 12(7). 1127–1134. 23 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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