Hai Yu

2.1k total citations
31 papers, 792 citations indexed

About

Hai Yu is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Hai Yu has authored 31 papers receiving a total of 792 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 14 papers in Cancer Research and 13 papers in Genetics. Recurrent topics in Hai Yu's work include Glioma Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (8 papers). Hai Yu is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), MicroRNA in disease regulation (9 papers) and Cancer-related molecular mechanisms research (8 papers). Hai Yu collaborates with scholars based in China, Japan and United States. Hai Yu's co-authors include Jian Zheng, Yixue Xue, Maode Wang, Yunhui Liu, Zhen Li, Ping Wang, Xiaobai Liu, Shuyuan Shen, Lini Zhao and Wei Gong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and Biochemical and Biophysical Research Communications.

In The Last Decade

Hai Yu

29 papers receiving 786 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hai Yu China 16 565 446 162 105 82 31 792
Pasqualino De Antonellis Italy 10 632 1.1× 471 1.1× 181 1.1× 50 0.5× 56 0.7× 16 889
Inge de Krijger Netherlands 10 740 1.3× 192 0.4× 276 1.7× 59 0.6× 65 0.8× 11 867
Daniele Perna Italy 6 843 1.5× 509 1.1× 187 1.2× 47 0.4× 60 0.7× 6 967
Alexander Kukalev Sweden 12 914 1.6× 185 0.4× 304 1.9× 75 0.7× 60 0.7× 21 1.1k
Isil Guney United States 10 610 1.1× 191 0.4× 216 1.3× 147 1.4× 68 0.8× 12 819
Elvira V. Grigorieva Russia 18 466 0.8× 174 0.4× 115 0.7× 87 0.8× 66 0.8× 45 715
Emma Bell United Kingdom 16 670 1.2× 336 0.8× 162 1.0× 65 0.6× 45 0.5× 25 972
Marco Galasso Italy 19 1.2k 2.1× 1.1k 2.5× 137 0.8× 117 1.1× 102 1.2× 30 1.5k
Lanping Quan China 17 565 1.0× 179 0.4× 210 1.3× 74 0.7× 40 0.5× 21 774

Countries citing papers authored by Hai Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hai Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Hai Yu. A scholar is included among the top collaborators of Hai Yu 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 Hai Yu. Hai Yu 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.
Yu, Hai, Susumu Kohno, Dominic Chih‐Cheng Voon, et al.. (2024). RECK/GPR124‐driven WNT signaling in pancreatic and gastric cancer cells. Cancer Science. 115(9). 3013–3025. 2 indexed citations
2.
Chen, Jia, et al.. (2024). A novel Wnt/β-catenin signaling gene signature for progression and metastasis of gastric cancer. Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics. 33(5). 1199–1215.
3.
Yang, Fan, Hai Yu, Craig Wilson, Gady Jacoby, & Zhenyu Wu. (2023). Blockchain technology and international countertrade. Journal of International Financial Markets Institutions and Money. 91. 101933–101933. 2 indexed citations
4.
Yu, Hai, Xiaodong Li, Yi Li, et al.. (2023). MiR ‐4524b‐5p‐targeting ALDH1A3 attenuates the proliferation and radioresistance of glioblastoma via PI3K / AKT / mTOR signaling. CNS Neuroscience & Therapeutics. 30(2). e14396–e14396. 6 indexed citations
5.
Chen, Xiaohong, Wei Wu, Yichang Wang, et al.. (2023). Development of prognostic indicator based on NAD+ metabolism related genes in glioma. Frontiers in Surgery. 10. 1071259–1071259. 3 indexed citations
6.
Zhang, Zhiyong, et al.. (2021). Combination of Multiple Hemodialysis Modes: Better Treatment Options for Patients Under Maintenance Hemodialysis. Therapeutics and Clinical Risk Management. Volume 17. 127–133. 8 indexed citations
7.
Li, Xixi, et al.. (2021). Marital Status Independently Predicts Glioma Patient Mortality: A Surveillance, Epidemiology, and End Results (SEER) Analysis. World Neurosurgery. 152. e302–e312. 4 indexed citations
8.
Yu, Hai, et al.. (2020). E2F transcription factor 8 promotes proliferation and radioresistance in glioblastoma. Pathology - Research and Practice. 216(8). 153030–153030. 16 indexed citations
9.
Yu, Hai, et al.. (2019). RCC2 promotes proliferation and radio-resistance in glioblastoma via activating transcription of DNMT1. Biochemical and Biophysical Research Communications. 516(3). 999–1006. 21 indexed citations
10.
Tan, Hua, et al.. (2019). DNA methylation and gene expression profiles characterize epigenetic regulation of lncRNAs in colon adenocarcinoma. Journal of Cellular Biochemistry. 121(3). 2406–2415. 20 indexed citations
11.
12.
Ma, Jun, Yunhui Liu, Shuyuan Shen, et al.. (2018). Mechanism of piR-DQ590027/MIR17HG regulating the permeability of glioma conditioned normal BBB. Journal of Experimental & Clinical Cancer Research. 37(1). 246–246. 42 indexed citations
13.
Liu, Xiaobai, Jian Zheng, Yixue Xue, et al.. (2018). PIWIL3/OIP5-AS1/miR-367-3p/CEBPA feedback loop regulates the biological behavior of glioma cells. Theranostics. 8(4). 1084–1105. 120 indexed citations
14.
Yu, Mingjun, et al.. (2018). Over-Expressed FEZF1 Predicts a Poor Prognosis in Glioma and Promotes Glioma Cell Malignant Biological Properties by Regulating Akt-ERK Pathway. Journal of Molecular Neuroscience. 65(4). 411–419. 12 indexed citations
15.
Shen, Shuyuan, Hai Yu, Xiaobai Liu, et al.. (2017). PIWIL1/piRNA-DQ593109 Regulates the Permeability of the Blood-Tumor Barrier via the MEG3/miR-330-5p/RUNX3 Axis. Molecular Therapy — Nucleic Acids. 10. 412–425. 60 indexed citations
16.
Peng, Xiaohong, et al.. (2017). Local Anesthetic Drug Inhibits Growth and Survival in Chronic Myeloid Leukemia Through Suppressing PI3K/Akt/mTOR. The American Journal of the Medical Sciences. 355(3). 266–273. 24 indexed citations
17.
Yu, Hai, Jian Zheng, Xiaobai Liu, et al.. (2017). Transcription Factor NFAT5 Promotes Glioblastoma Cell-driven Angiogenesis via SBF2-AS1/miR-338-3p-Mediated EGFL7 Expression Change. Frontiers in Molecular Neuroscience. 10. 301–301. 50 indexed citations
18.
19.
Wu, Yu, et al.. (2017). Identification of ACTG2 functions as a promoter gene in hepatocellular carcinoma cells migration and tumor metastasis. Biochemical and Biophysical Research Communications. 491(2). 537–544. 29 indexed citations
20.
Ma, Qingyong, et al.. (2008). Blockade of SDF-1/CXCR4 signalling inhibits pancreatic cancer progression in vitro via inactivation of canonical Wnt pathway. British Journal of Cancer. 99(10). 1695–1703. 92 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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