Hisayuki Yao

1.2k total citations
34 papers, 896 citations indexed

About

Hisayuki Yao is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Hisayuki Yao has authored 34 papers receiving a total of 896 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hematology, 13 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Hisayuki Yao's work include Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Hisayuki Yao is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Hisayuki Yao collaborates with scholars based in Japan, United States and Germany. Hisayuki Yao's co-authors include Taira Maekawa, Eishi Ashihara, Hideyo Hirai, Yasuo Miura, Yoshihiro Hayashi, Shinya Kimura, Miki Takeuchi, Satoshi Yoshioka, Rina Nagao and Satsuki Kitano and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

Hisayuki Yao

34 papers receiving 888 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hisayuki Yao Japan 15 377 246 210 208 175 34 896
Veronica Martini Italy 19 281 0.7× 315 1.3× 150 0.7× 102 0.5× 308 1.8× 41 740
Manar Shafat United Kingdom 12 449 1.2× 257 1.0× 157 0.7× 491 2.4× 206 1.2× 23 1.0k
Ladina Di Rago Australia 19 601 1.6× 523 2.1× 304 1.4× 475 2.3× 190 1.1× 38 1.4k
Kyoko Arai Japan 18 595 1.6× 189 0.8× 250 1.2× 132 0.6× 70 0.4× 53 1.0k
Daniela Belloni Italy 16 362 1.0× 152 0.6× 234 1.1× 188 0.9× 99 0.6× 27 810
Karen-Sue Carlson United States 11 245 0.6× 187 0.8× 230 1.1× 261 1.3× 89 0.5× 34 734
Liat Drucker Israel 20 537 1.4× 109 0.4× 320 1.5× 248 1.2× 101 0.6× 71 1.1k
Tommaso Zanocco‐Marani Italy 18 543 1.4× 141 0.6× 141 0.7× 84 0.4× 96 0.5× 38 890
Yuan Xiao Zhu United States 14 855 2.3× 134 0.5× 250 1.2× 207 1.0× 108 0.6× 26 1.1k
Gidi Rechavi Israel 17 614 1.6× 155 0.6× 265 1.3× 129 0.6× 98 0.6× 26 1.1k

Countries citing papers authored by Hisayuki Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hisayuki Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisayuki Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hisayuki Yao. A scholar is included among the top collaborators of Hisayuki Yao 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 Hisayuki Yao. Hisayuki Yao 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.
2.
Ridge, Sarah, Andrew E. Whiteley, Hisayuki Yao, et al.. (2021). Pan-PI3Ki targets multiple B-ALL microenvironment interactions that fuel systemic and CNS relapse. Leukemia & lymphoma. 62(11). 2690–2702. 2 indexed citations
3.
Gotoh, Kazuhito, Yuya Kunisaki, Daiki Setoyama, et al.. (2020). Mitochondrial Protein Synthesis Is Essential for Terminal Differentiation of CD45– TER119–Erythroid and Lymphoid Progenitors. iScience. 23(11). 101654–101654. 5 indexed citations
4.
Yao, Hisayuki. (2019). [Central nervous system involvement in acute lymphoblastic leukemia].. PubMed. 60(9). 1212–1220. 1 indexed citations
5.
Nakagawa, Yoko, Eishi Ashihara, Hisayuki Yao, et al.. (2018). Multiple myeloma cells adapted to long-exposure of hypoxia exhibit stem cell characters with TGF-β/Smad pathway activation. Biochemical and Biophysical Research Communications. 496(2). 490–496. 10 indexed citations
6.
Yoshioka, Satoshi, Yasuo Miura, Hisayuki Yao, et al.. (2015). Isolation of mesenchymal stromal/stem cells from small-volume umbilical cord blood units that do not qualify for the banking system. International Journal of Hematology. 102(2). 218–229. 17 indexed citations
7.
Miura, Yasuo, Hisayuki Yao, Sumie Fujii, et al.. (2015). Early osteoinductive human bone marrow mesenchymal stromal/stem cells support an enhanced hematopoietic cell expansion with altered chemotaxis- and adhesion-related gene expression profiles. Biochemical and Biophysical Research Communications. 469(4). 823–829. 14 indexed citations
8.
Yao, Hisayuki, Yasuo Miura, Satoshi Yoshioka, et al.. (2014). Parathyroid Hormone Enhances Hematopoietic Expansion Via Upregulation of Cadherin-11 in Bone Marrow Mesenchymal Stromal Cells. Stem Cells. 32(8). 2245–2255. 24 indexed citations
9.
Tamura, Akihiro, Hideyo Hirai, Asumi Yokota, et al.. (2014). Essential Roles of C/EBPβ in Survival of Ly6C– monocytes. Blood. 124(21). 224–224. 1 indexed citations
10.
Miura, Yasuo, Satoshi Yoshioka, Hisayuki Yao, et al.. (2013). Chimerism of bone marrow mesenchymal stem/stromal cells in allogeneic hematopoietic cell transplantation. PubMed. 4(3). 78–83. 17 indexed citations
11.
Hayashi, Yoshihiro, Hideyo Hirai, Hisayuki Yao, et al.. (2012). C/EBPβ promotes BCR–ABL-mediated myeloid expansion and leukemic stem cell exhaustion. Leukemia. 27(3). 619–628. 17 indexed citations
12.
Tanaka, Ruriko, Shinya Kimura, Eishi Ashihara, et al.. (2011). Rapid automated detection of ABL kinase domain mutations in imatinib-resistant patients. Cancer Letters. 312(2). 228–234. 15 indexed citations
13.
Nagao, Rina, Eishi Ashihara, Shinya Kimura, et al.. (2011). Growth inhibition of imatinib-resistant CML cells with the T315I mutation and hypoxia-adaptation by AV65 – a novel Wnt/β-catenin signaling inhibitor. Cancer Letters. 312(1). 91–100. 18 indexed citations
14.
Ashihara, Eishi, Yoko Nakagawa, Takahiro Kiuchi, et al.. (2010). A combination of a DNA-chimera siRNA against PLK-1 and zoledronic acid suppresses the growth of malignant mesothelioma cells in vitro. Cancer Letters. 294(2). 245–253. 13 indexed citations
15.
Kawata, Eri, Eishi Ashihara, Yoko Nakagawa, et al.. (2010). Galectin‐9 ameliorates acute GVH disease through the induction of T‐cell apoptosis. European Journal of Immunology. 41(1). 67–75. 40 indexed citations
16.
Takeuchi, Miki, Eishi Ashihara, Yohko Yamazaki, et al.. (2010). Rakicidin A effectively induces apoptosis in hypoxia adapted Bcr‐Abl positive leukemic cells. Cancer Science. 102(3). 591–596. 33 indexed citations
17.
Yokota, Asumi, Shinya Kimura, Ruriko Tanaka, et al.. (2009). Osteoclasts are involved in the maintenance of dormant leukemic cells. Leukemia Research. 34(6). 793–799. 14 indexed citations
18.
Yokota, Asumi, Shinya Kimura, Ruriko Tanaka, et al.. (2009). Osteoclasts Are Involved in the Maintenance of Dormant Leukemic Cells.. Blood. 114(22). 4245–4245. 1 indexed citations
19.
Yokota, Asumi, Shinya Kimura, Ruriko Tanaka, et al.. (2008). Roles of Osteoclasts in Leukemic Cells. Blood. 112(11). 3184–3184. 1 indexed citations
20.

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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