Yasuhiro Tomaru

2.5k total citations
41 papers, 1.4k citations indexed

About

Yasuhiro Tomaru is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Yasuhiro Tomaru has authored 41 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Epidemiology. Recurrent topics in Yasuhiro Tomaru's work include RNA Research and Splicing (12 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (6 papers). Yasuhiro Tomaru is often cited by papers focused on RNA Research and Splicing (12 papers), MicroRNA in disease regulation (7 papers) and RNA modifications and cancer (6 papers). Yasuhiro Tomaru collaborates with scholars based in Japan, Italy and Australia. Yasuhiro Tomaru's co-authors include Yoshihide Hayashizaki, Harukazu Suzuki, Michiel de Hoon, Yoshinari Ando, A. Maxwell Burroughs, Carsten O. Daub, Tsutomu Kurokawa, Takahiro Nishibu, Ryo Ukekawa and Yoshihide Hayashizaki and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Yasuhiro Tomaru

41 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
Yasuhiro Tomaru Japan 20 1.1k 504 177 92 81 41 1.4k
Lovorka Stojic United Kingdom 18 1.3k 1.2× 536 1.1× 159 0.9× 88 1.0× 88 1.1× 22 1.6k
Julie Metcalf Canada 11 599 0.6× 430 0.9× 158 0.9× 78 0.8× 191 2.4× 14 1.1k
Heather E. Cunliffe New Zealand 16 932 0.9× 153 0.3× 496 2.8× 61 0.7× 81 1.0× 20 1.3k
Kenta Masuda Japan 25 896 0.8× 496 1.0× 236 1.3× 134 1.5× 141 1.7× 77 1.7k
Tomoki Yokochi Japan 18 2.2k 2.1× 173 0.3× 436 2.5× 70 0.8× 46 0.6× 35 2.5k
Tina Cirman Slovenia 5 725 0.7× 192 0.4× 64 0.4× 308 3.3× 132 1.6× 5 1.1k
Phillipe Loher United States 22 2.2k 2.1× 1.6k 3.1× 129 0.7× 42 0.5× 84 1.0× 41 2.7k
Sarah L. Hunt United Kingdom 14 1.4k 1.3× 159 0.3× 133 0.8× 82 0.9× 84 1.0× 16 2.0k
Michael Klutstein Israel 15 1.1k 1.0× 242 0.5× 133 0.8× 38 0.4× 57 0.7× 34 1.4k
A. Gordon Robertson Canada 17 789 0.7× 206 0.4× 79 0.4× 103 1.1× 76 0.9× 25 1.2k

Countries citing papers authored by Yasuhiro Tomaru

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Tomaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasuhiro Tomaru

This figure shows the co-authorship network connecting the top 25 collaborators of Yasuhiro Tomaru. A scholar is included among the top collaborators of Yasuhiro Tomaru 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 Yasuhiro Tomaru. Yasuhiro Tomaru 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.
Uchiyama, Toru, Akifumi Endo, Yasuhiro Tomaru, et al.. (2025). A high‐throughput TREC‐ and KREC ‐based newborn screening for severe inborn errors of immunity. Pediatrics International. 67(1). e15872–e15872. 1 indexed citations
2.
Mizuno, Mitsuru, et al.. (2022). Cross-contamination risk and decontamination during changeover after cell-product processing. Regenerative Therapy. 22. 30–38. 10 indexed citations
3.
Nakano, S, Yasuhiro Tomaru, Toshiaki Kubota, et al.. (2020). Multiplex Solid-Phase Real-Time Polymerase Chain Reaction without DNA Extraction. Ophthalmology. 128(5). 729–739. 16 indexed citations
4.
Nakano, S, Yasuhiro Tomaru, Toshiaki Kubota, et al.. (2019). Evaluation of a Multiplex Strip PCR Test for Infectious Uveitis: A Prospective Multicenter Study. American Journal of Ophthalmology. 213. 252–259. 25 indexed citations
5.
Yoshida, Masaaki, Shunji Yokokura, Kazuichi Maruyama, et al.. (2018). Diagnosing superinfection keratitis with multiplex polymerase chain reaction. Journal of Infection and Chemotherapy. 24(12). 1004–1008. 3 indexed citations
6.
Kubosaki, Atsutaka, Yasuhiro Tomaru, Erina Furuhata, et al.. (2012). CpG site-specific alteration of hydroxymethylcytosine to methylcytosine beyond DNA replication. Biochemical and Biophysical Research Communications. 426(1). 141–147. 6 indexed citations
7.
Ando, Yoshinari, Yasuhiro Tomaru, A. Maxwell Burroughs, et al.. (2011). Nuclear Pore Complex Protein Mediated Nuclear Localization of Dicer Protein in Human Cells. PLoS ONE. 6(8). e23385–e23385. 37 indexed citations
8.
Vitezic, Morana, Timo Lassmann, Alistair R. R. Forrest, et al.. (2010). Building promoter aware transcriptional regulatory networks using siRNA perturbation and deepCAGE. Nucleic Acids Research. 38(22). 8141–8148. 12 indexed citations
9.
Tomaru, Yasuhiro, Hisashi Miura, Yasumasa Kimura, et al.. (2009). Identification of an inter-transcription factor regulatory network in human hepatoma cells by Matrix RNAi. Nucleic Acids Research. 37(4). 1049–1060. 29 indexed citations
10.
Kubosaki, Atsutaka, Yasuhiro Tomaru, Michihira Tagami, et al.. (2009). Genome-wide investigation of in vivoEGR-1 binding sites in monocytic differentiation. Genome biology. 10(4). R41–R41. 59 indexed citations
11.
Tomaru, Yasuhiro, Christophe Simon, Alistair R. R. Forrest, et al.. (2009). Regulatory interdependence of myeloid transcription factors revealed by Matrix RNAi analysis. Genome biology. 10(11). R121–R121. 17 indexed citations
12.
Tomaru, Yasuhiro, et al.. (2008). Identification of transcriptional regulatory cascades in retinoic acid-induced growth arrest of HepG2 cells. Nucleic Acids Research. 36(10). 3443–3454. 17 indexed citations
14.
Tomaru, Yasuhiro & Yoshihide Hayashizaki. (2006). Cancer research with non‐coding RNA. Cancer Science. 97(12). 1285–1290. 27 indexed citations
15.
Nishida, Hiromi, et al.. (2005). Comparative analysis of expression of histone H2a genes in mouse. BMC Genomics. 6(1). 108–108. 19 indexed citations
16.
Nishida, Hiromi, Takahiro Suzuki, Yasuhiro Tomaru, & Yoshihide Hayashizaki. (2005). A novel replication-independent histone H2a gene in mouse. BMC Genetics. 6(1). 10–10. 16 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.
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
19.
Kiyosawa, Hidenori, Atsushi Yoshiki, Yasushi Okazaki, et al.. (2002). Identification of seven loci for static glucokinesis and dynamic glucokinesis in mice. Mammalian Genome. 13(6). 293–298. 8 indexed citations
20.
Isono, Kyoichi, Kuniya Abe, Yasuhiro Tomaru, et al.. (2001). Molecular cloning, genetic mapping, and expression of the mouse Sf3b1 (SAP155) gene for the U2 snRNP component of spliceosome. Mammalian Genome. 12(3). 192–198. 14 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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