Arisa Igarashi

600 total citations
18 papers, 371 citations indexed

About

Arisa Igarashi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Arisa Igarashi has authored 18 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Cancer Research. Recurrent topics in Arisa Igarashi's work include MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Arisa Igarashi is often cited by papers focused on MicroRNA in disease regulation (4 papers), RNA modifications and cancer (3 papers) and RNA Research and Splicing (3 papers). Arisa Igarashi collaborates with scholars based in Japan, United States and Sri Lanka. Arisa Igarashi's co-authors include Satoru Matsuoka, Ram Savan, Masahiro Sakai, Ken‐ichi Tanamoto, Masashi Muroi, Takaji Iida, Hiroshi Asahara, Kenji Matsumoto, Yoshiaki Ito and Takahiro Ohnishi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Arisa Igarashi

18 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arisa Igarashi Japan 11 201 137 62 58 56 18 371
Christopher A. Adase United States 11 159 0.8× 163 1.2× 16 0.3× 20 0.3× 25 0.4× 12 414
I. Reima Finland 15 293 1.5× 52 0.4× 20 0.3× 37 0.6× 29 0.5× 23 712
Tiha M. Long United States 12 145 0.7× 127 0.9× 29 0.5× 92 1.6× 55 1.0× 21 688
Marcus L. Hastie Australia 14 315 1.6× 67 0.5× 40 0.6× 127 2.2× 6 0.1× 22 557
Rachel A. Idol United States 10 412 2.0× 99 0.7× 8 0.1× 24 0.4× 73 1.3× 12 626
Subhash B. Arya India 6 303 1.5× 76 0.6× 24 0.4× 120 2.1× 38 0.7× 8 468
Wenjia Liu China 9 268 1.3× 48 0.4× 63 1.0× 53 0.9× 10 0.2× 25 429
Adam Raymond United States 7 212 1.1× 197 1.4× 20 0.3× 23 0.4× 62 1.1× 9 498
Guilhem Clary France 10 139 0.7× 40 0.3× 17 0.3× 11 0.2× 30 0.5× 12 342

Countries citing papers authored by Arisa Igarashi

Since Specialization
Citations

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

Fields of papers citing papers by Arisa Igarashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arisa Igarashi

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

All Works

18 of 18 papers shown
1.
Shimada, Mihoko, et al.. (2025). Long-read sequencing reveals novel isoform-specific eQTLs and regulatory mechanisms of isoform expression in human B cells. Genome biology. 26(1). 110–110. 1 indexed citations
2.
Igarashi, Arisa, Kumiko Yanagi, Kazuhito Satou, et al.. (2024). Functional analysis of RRAS2 pathogenic variants with a Noonan-like phenotype. Frontiers in Genetics. 15. 1383176–1383176. 2 indexed citations
3.
Tsumura, Hideki, Morihiro Ito, Arisa Igarashi, et al.. (2021). Relationships between Slc1a5 and Osteoclastogenesis. Comparative Medicine. 71(4). 285–294. 6 indexed citations
4.
Unoki‐Kubota, Hiroyuki, Hideki Kato, Akira Shimizu, et al.. (2020). Podocyte-specific deletion of tubular sclerosis complex 2 promotes focal segmental glomerulosclerosis and progressive renal failure. PLoS ONE. 15(3). e0229397–e0229397. 9 indexed citations
5.
Igarashi, Arisa, Akio Matsuda, & Kenji Matsumoto. (2018). MicroRNA-29 suppresses cytokine-mediated production of soluble IL-33 receptor, sST2, by bronchial epithelial cells. Journal of Allergy and Clinical Immunology. 141(2). AB293–AB293. 3 indexed citations
6.
Okamura, K., Kazuhiko Nakabayashi, Arisa Igarashi, et al.. (2017). Potential roles of DNA methylation in the initiation and establishment of replicative senescence revealed by array-based methylome and transcriptome analyses. PLoS ONE. 12(2). e0171431–e0171431. 31 indexed citations
7.
Ito, Yoshiaki, Atsushi Inoue, Arisa Igarashi, et al.. (2017). Identification of targets of tumor suppressor microRNA-34a using a reporter library system. Proceedings of the National Academy of Sciences. 114(15). 3927–3932. 44 indexed citations
8.
Unno, Hirotoshi, Hideaki Morita, Kyoko Futamura, et al.. (2016). Platelets constitutively express IL-33 protein and modulate eosinophilic airway inflammation. Journal of Allergy and Clinical Immunology. 138(5). 1395–1403.e6. 42 indexed citations
9.
Ito, Yoshiaki, Atsushi Inoue, Arisa Igarashi, et al.. (2016). Identification of targets of tumor suppressor microRNA-34a using a reporter library system. 2 indexed citations
10.
Tsumura, Hideki, Morihiro Ito, Masamichi Takami, et al.. (2015). Conditional deletion of CD98hc inhibits osteoclast development. SHILAP Revista de lepidopterología. 5. 203–210. 3 indexed citations
11.
Fukui, Yûkô, Maki Igarashi, Keisuke Nagasaki, et al.. (2015). Testicular dysgenesis/regression without campomelic dysplasia in patients carrying missense mutations and upstream deletion of SOX9. Molecular Genetics & Genomic Medicine. 3(6). 550–557. 16 indexed citations
12.
Takada, Shuji, Tempei Sato, Yoshiaki Ito, et al.. (2013). Targeted Gene Deletion of miRNAs in Mice by TALEN System. PLoS ONE. 8(10). e76004–e76004. 29 indexed citations
13.
Fukami, Maki, Takayoshi Tsuchiya, Shuji Takada, et al.. (2012). Complex genomic rearrangement in the SOX9 5′ region in a patient with Pierre Robin sequence and hypoplastic left scapula. American Journal of Medical Genetics Part A. 158A(7). 1529–1534. 18 indexed citations
14.
Ohnishi, Takahiro, et al.. (2008). Effects of possible endocrine disruptors on MyD88-independent TLR4 signaling. FEMS Immunology & Medical Microbiology. 52(2). 293–295. 29 indexed citations
15.
Igarashi, Arisa, et al.. (2006). Effects of Possible Endocrine Disrupting Chemicals on Bacterial Component-Induced Activation of NF-.KAPPA.B. Biological and Pharmaceutical Bulletin. 29(10). 2120–2122. 25 indexed citations
16.
Savan, Ram, Arisa Igarashi, Satoru Matsuoka, & Masahiro Sakai. (2004). Sensitive and Rapid Detection of Edwardsiellosis in Fish by a Loop-Mediated Isothermal Amplification Method. Applied and Environmental Microbiology. 70(1). 621–624. 82 indexed citations
17.
Igarashi, Arisa & Takaji Iida. (2002). A Vaccination Trial Using Live Cells of Edwardsiella tarda in Tilapia.. Fish Pathology. 37(3). 145–148. 14 indexed citations
18.
Igarashi, Arisa, Takaji Iida, & Jorge H. Crosa. (2002). Iron-acquisition Ability of Edwardsiella tarda with Involvement in Its Virulence.. Fish Pathology. 37(2). 53–57. 15 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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