Yuji Piao

2.1k total citations
27 papers, 1.7k citations indexed

About

Yuji Piao is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Yuji Piao has authored 27 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Genetics and 8 papers in Cancer Research. Recurrent topics in Yuji Piao's work include Glioma Diagnosis and Treatment (11 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Angiogenesis and VEGF in Cancer (4 papers). Yuji Piao is often cited by papers focused on Glioma Diagnosis and Treatment (11 papers), Cancer, Hypoxia, and Metabolism (6 papers) and Angiogenesis and VEGF in Cancer (4 papers). Yuji Piao collaborates with scholars based in United States, China and Malaysia. Yuji Piao's co-authors include John de Groot, Verlene Henry, Ji Liang, Gregory N. Fuller, John F. de Groot, Lindsay Holmes, Ningyi Tiao, Li Lu, Soon Young Park and Erik P. Sulman and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Yuji Piao

26 papers receiving 1.6k citations

Peers

Yuji Piao

GENET

ONCOL

IMMUN

Catherine Gratas France

Persio Dello Sbarba Italy

Jörg Cammenga Sweden

Luca Persano Italy

Ana C. deCarvalho United States

Vanessa Fritz France

Linsey B. Reavie United States

Satoru Osuka Japan

Nathalie Baeza France

Bárbara Meléndez Spain

Catherine Gratas France

Yuji Piao

1.1k ×1.2

502 ×0.9

GENET

394 ×0.8

361 ×0.8

ONCOL

254 ×0.8

IMMUN

Citations per year, relative to Yuji Piao Yuji Piao (= 1×) peers Catherine Gratas

Countries citing papers authored by Yuji Piao

Since Specialization

Citations

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

Fields of papers citing papers by Yuji Piao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuji Piao

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

Khan, Sabbir, Emmanuel Martínez-Ledesma, Jian‐Wen Dong, et al.. (2023). Neuronal differentiation drives the antitumor activity of mitogen-activated protein kinase kinase (MEK) inhibition in glioblastoma. Neuro-Oncology Advances. 5(1). vdad132–vdad132. 3 indexed citations

Khan, Sabbir, Emmanuel Martínez-Ledesma, Soon Young Park, et al.. (2022). CNSC-12. NEURONAL DIFFERENTIATION DRIVES THE ANTI-TUMOR EFFICACY OF MEK INHIBITION IN GLIOBLASTOMA. Neuro-Oncology. 24(Supplement_7). vii24–vii24. 1 indexed citations

Park, Soon Young, Yuji Piao, Emmanuel Martínez-Ledesma, et al.. (2019). Abstract 4678: Targeting MEK in EGFR amplified glioma stem like cells induces differentiation. Cancer Research. 79(13_Supplement). 4678–4678. 1 indexed citations

Dong, Jian‐Wen, Emmanuel Martínez-Ledesma, Nghi Nguyen, et al.. (2018). Abstract 2945: Arsenic trioxide sensitizes glioma stem cells to brain penetrant PI3K and mTOR inhibitor GDC-0084. Cancer Research. 78(13_Supplement). 2945–2945. 2 indexed citations

Lee, Jong-Ho, Rui Liu, Jing Li, et al.. (2017). Stabilization of phosphofructokinase 1 platelet isoform by AKT promotes tumorigenesis. Nature Communications. 8(1). 949–949. 213 indexed citations

Park, Soon Young, Yuji Piao, Kang Jin Jeong, Jian‐Wen Dong, & John de Groot. (2016). Periostin (POSTN) Regulates Tumor Resistance to Antiangiogenic Therapy in Glioma Models. Molecular Cancer Therapeutics. 15(9). 2187–2197. 68 indexed citations

Piao, Yuji, Soon Young Park, Verlene Henry, et al.. (2016). Novel MET/TIE2/VEGFR2 inhibitor altiratinib inhibits tumor growth and invasiveness in bevacizumab-resistant glioblastoma mouse models. Neuro-Oncology. 18(9). 1230–1241. 52 indexed citations

Piao, Yuji, Ji Liang, Lindsay Holmes, et al.. (2013). Acquired Resistance to Anti-VEGF Therapy in Glioblastoma Is Associated with a Mesenchymal Transition. Clinical Cancer Research. 19(16). 4392–4403. 159 indexed citations

Liang, Ji, Yuji Piao, Lindsay Holmes, et al.. (2013). Neutrophils Promote the Malignant Glioma Phenotype through S100A4. Clinical Cancer Research. 20(1). 187–198. 235 indexed citations

10.

Shonka, Nicole, Yuji Piao, Mark R. Gilbert, et al.. (2013). Cytokines associated with toxicity in the treatment of recurrent glioblastoma with aflibercept. Targeted Oncology. 8(2). 117–125. 15 indexed citations

11.

Groot, John de, Ji Liang, Ling-Yuan Kong, et al.. (2012). Modulating Antiangiogenic Resistance by Inhibiting the Signal Transducer and Activator of Transcription 3 Pathway in Glioblastoma. Oncotarget. 3(9). 1036–1048. 76 indexed citations

12.

Groot, John de, Yuji Piao, Hai T. Tran, et al.. (2011). Myeloid Biomarkers Associated with Glioblastoma Response to Anti-VEGF Therapy with Aflibercept. Clinical Cancer Research. 17(14). 4872–4881. 51 indexed citations

13.

Milano, Vanessa, Yuji Piao, Tiffany A. LaFortune, & John de Groot. (2009). Dasatinib-induced autophagy is enhanced in combination with temozolomide in glioma. Molecular Cancer Therapeutics. 8(2). 394–406. 102 indexed citations

14.

Piao, Yuji, et al.. (2009). Mediators of Glioblastoma Resistance and Invasion during Antivascular Endothelial Growth Factor Therapy. Clinical Cancer Research. 15(14). 4589–4599. 201 indexed citations

15.

Piao, Yuji, Li Lu, & John de Groot. (2008). AMPA receptors promote perivascular glioma invasion via β1 integrin–dependent adhesion to the extracellular matrix. Neuro-Oncology. 11(3). 260–273. 97 indexed citations

16.

Ding, Yan, Kyu Jin Choi, Jin Hwan Kim, et al.. (2008). Endogenous Hydrogen Peroxide Regulates Glutathione Redox via Nuclear Factor Erythroid 2-Related Factor 2 Downstream of Phosphatidylinositol 3-Kinase during Muscle Differentiation. American Journal Of Pathology. 172(6). 1529–1541. 54 indexed citations

17.

Groot, John de, Yuji Piao, Li Lu, Gregory N. Fuller, & W.K. Alfred Yung. (2008). Knockdown of GluR1 expression by RNA interference inhibits glioma proliferation. Journal of Neuro-Oncology. 88(2). 121–133. 72 indexed citations

18.

Jiang, Hong, Marta M. Alonso, Candelaria Gomez‐Manzano, Yuji Piao, & Juàn Fueyo. (2006). Oncolytic viruses and DNA-repair machinery: overcoming chemoresistance of gliomas. Expert Review of Anticancer Therapy. 6(11). 1585–1592. 23 indexed citations

19.

Lee, Ok-Hee, Jing Xu, Juàn Fueyo, et al.. (2006). Expression of the Receptor Tyrosine Kinase Tie2 in Neoplastic Glial Cells Is Associated with Integrin β1-Dependent Adhesion to the Extracellular Matrix. Molecular Cancer Research. 4(12). 915–926. 55 indexed citations

20.

Jiang, Hong, Diana Medrano, Ok‐Hee Lee, et al.. (2006). A novel CRM1‐dependent nuclear export signal in adenoviral E1A protein regulated by phosphorylation. The FASEB Journal. 20(14). 2603–2605. 11 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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