Hiroko Yano

3.6k total citations · 1 hit paper
56 papers, 2.8k citations indexed

About

Hiroko Yano is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Hiroko Yano has authored 56 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 21 papers in Cellular and Molecular Neuroscience and 6 papers in Immunology. Recurrent topics in Hiroko Yano's work include Nerve injury and regeneration (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Glioma Diagnosis and Treatment (5 papers). Hiroko Yano is often cited by papers focused on Nerve injury and regeneration (11 papers), Genetic Neurodegenerative Diseases (6 papers) and Glioma Diagnosis and Treatment (5 papers). Hiroko Yano collaborates with scholars based in United States, Japan and Spain. Hiroko Yano's co-authors include Moses V. Chao, Albert H. Kim, Juan Carlos Arévalo, Kenneth K. Teng, James L. Salzer, Peter Shrager, Jeffrey A. Loeb, Lorna W. Role, Steven Einheber and Xiaorong Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Hiroko Yano

56 papers receiving 2.8k citations

Hit Papers

Neuregulin-1 Type III Det... 2005 2026 2012 2019 2005 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Hiroko Yano 1.5k 1.3k 447 409 242 56 2.8k
Carla Taveggia 1.0k 0.7× 1.6k 1.2× 900 2.0× 378 0.9× 240 1.0× 44 2.7k
Keiichi Uyemura 1.6k 1.1× 1.4k 1.0× 550 1.2× 653 1.6× 203 0.8× 104 3.1k
Susan O. Meakin 1.8k 1.2× 1.5k 1.1× 484 1.1× 384 0.9× 180 0.7× 64 3.2k
Amparo Acker‐Palmer 1.7k 1.1× 1.0k 0.8× 319 0.7× 527 1.3× 300 1.2× 58 3.0k
Dianna E. Willis 2.4k 1.6× 1.7k 1.3× 579 1.3× 647 1.6× 128 0.5× 53 3.7k
Kelly R. Monk 2.0k 1.3× 1.6k 1.2× 692 1.5× 565 1.4× 138 0.6× 69 3.9k
José M. Frade 2.0k 1.3× 1.5k 1.1× 776 1.7× 400 1.0× 177 0.7× 60 3.2k
Christine D. Pozniak 1.6k 1.0× 1.0k 0.8× 523 1.2× 250 0.6× 566 2.3× 20 2.5k
Esther B. E. Becker 2.2k 1.4× 885 0.7× 220 0.5× 525 1.3× 305 1.3× 47 3.4k
Matthew R. Sarkisian 1.7k 1.1× 1.1k 0.8× 487 1.1× 397 1.0× 346 1.4× 63 3.5k

Countries citing papers authored by Hiroko Yano

Since Specialization
Citations

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

Fields of papers citing papers by Hiroko Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroko Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroko Yano. A scholar is included among the top collaborators of Hiroko Yano 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 Hiroko Yano. Hiroko Yano 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.
Chen, Hao, Cole Ferguson, Dylan C. Mitchell, et al.. (2025). The Hao-Fountain syndrome protein USP7 regulates neuronal connectivity in the brain via a novel p53-independent ubiquitin signaling pathway. Cell Reports. 44(2). 115231–115231. 6 indexed citations
2.
Patel, Bhuvic, Kaleigh F. Roberts, Ajay Chatrath, et al.. (2024). Multiomic and clinical analysis of multiply recurrent meningiomas reveals risk factors, underlying biology, and insights into evolution. Science Advances. 10(43). eadn4419–eadn4419. 1 indexed citations
4.
Hardi, Angela, et al.. (2023). The function of histone methylation and acetylation regulators in GBM pathophysiology. Frontiers in Oncology. 13. 1144184–1144184. 17 indexed citations
5.
Kfoury, Najla, Ramachandran Prakasam, Santhi Pondugula, et al.. (2022). The H3K27M mutation alters stem cell growth, epigenetic regulation, and differentiation potential. BMC Biology. 20(1). 124–124. 30 indexed citations
6.
Kim, Albert H., et al.. (2021). Epigenetic regulation in Huntington's disease. Neurochemistry International. 148. 105074–105074. 18 indexed citations
7.
Norimatsu, Yoshiaki, Takeshi Nishikawa, Hiroko Yano, et al.. (2021). The expression pattern of CD10 and CD31 identifies fine fibrovascular stroma of grade 1‐endometrial endometrioid carcinomas in cytology. Cytopathology. 33(3). 362–373. 2 indexed citations
8.
Mahlokozera, Tatenda, Bhuvic Patel, Hao Chen, et al.. (2021). Competitive binding of E3 ligases TRIM26 and WWP2 controls SOX2 in glioblastoma. Nature Communications. 12(1). 6321–6321. 40 indexed citations
9.
Zhu, Ying, Wei Yang, Eric Tycksen, et al.. (2018). The role of Twist1 in mutant huntingtin–induced transcriptional alterations and neurotoxicity. Journal of Biological Chemistry. 293(30). 11850–11866. 18 indexed citations
10.
Hirata, Masaaki, et al.. (2017). Mesenteric vein thrombosis following impregnation via in vitro fertilization-embryo transfer. World Journal of Gastrointestinal Surgery. 9(10). 209–213. 3 indexed citations
11.
Hasegawa, Tomomi, et al.. (2016). Inductive influence of heparin-like polysaccharide on the keratinocyte differentiation. Journal of Dermatological Science. 84(1). e42–e42. 1 indexed citations
12.
Mao, Diane D., Amit D. Gujar, Tatenda Mahlokozera, et al.. (2015). A CDC20-APC/SOX2 Signaling Axis Regulates Human Glioblastoma Stem-like Cells. Cell Reports. 11(11). 1809–1821. 88 indexed citations
13.
Wang, Xin, Kerry Cormier, Karen Smith, et al.. (2011). The Melatonin MT1 Receptor Axis Modulates Mutant Huntingtin-Mediated Toxicity. Journal of Neuroscience. 31(41). 14496–14507. 156 indexed citations
14.
Arévalo, Juan Carlos, Synphen H. Wu, Takuya Takahashi, et al.. (2010). The ARMS/Kidins220 scaffold protein modulates synaptic transmission. Molecular and Cellular Neuroscience. 45(2). 92–100. 31 indexed citations
15.
Arévalo, Juan Carlos, Daniela Baptista, Hiroko Yano, Kenneth K. Teng, & Moses V. Chao. (2005). Identification of a Switch in Neurotrophin Signaling by Selective Tyrosine Phosphorylation. Journal of Biological Chemistry. 281(2). 1001–1007. 61 indexed citations
16.
Arévalo, Juan Carlos, Hiroko Yano, Kenneth K. Teng, & Moses V. Chao. (2004). A unique pathway for sustained neurotrophin signaling through an ankyrin‐rich membrane‐spanning protein. The EMBO Journal. 23(12). 2358–2368. 108 indexed citations
17.
Kim, Albert H., Hiroko Yano, Han Cho, et al.. (2002). Akt1 Regulates a JNK Scaffold during Excitotoxic Apoptosis. Neuron. 35(4). 697–709. 175 indexed citations
18.
Lou, Xiaojing, Hiroko Yano, Francis Lee, Moses V. Chao, & Marilyn G. Farquhar. (2001). GIPC and GAIP Form a Complex with TrkA: A Putative Link between G Protein and Receptor Tyrosine Kinase Pathways. Molecular Biology of the Cell. 12(3). 615–627. 135 indexed citations
19.
Yano, Hiroko, Feng Cong, Raymond B. Birge, Stephen P. Goff, & Moses V. Chao. (2000). Association of the Abl tyrosine kinase with the Trk nerve growth factor receptor. Journal of Neuroscience Research. 59(3). 356–364. 53 indexed citations
20.
Suzuki, Yume, et al.. (1978). Effects of the inhalation of manganese dioxide dust on monkey lungs.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 25(3-4). 119–25. 8 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026