Yu Gu

2.7k total citations
61 papers, 1.3k citations indexed

About

Yu Gu is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Yu Gu has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 14 papers in Hematology and 12 papers in Cancer Research. Recurrent topics in Yu Gu's work include Acute Myeloid Leukemia Research (13 papers), Epigenetics and DNA Methylation (12 papers) and Lipid metabolism and biosynthesis (11 papers). Yu Gu is often cited by papers focused on Acute Myeloid Leukemia Research (13 papers), Epigenetics and DNA Methylation (12 papers) and Lipid metabolism and biosynthesis (11 papers). Yu Gu collaborates with scholars based in China, United States and Canada. Yu Gu's co-authors include Jing Ye, Jiang Lin, Ji‐chun Ma, Zi‐jun Xu, Lijun Zhang, Xiang‐mei Wen, Jun Qian, Yuanlin Zhao, Xing Gao and Chao Wang 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

Yu Gu

61 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu Gu China 21 778 279 250 215 212 61 1.3k
Ahmed Bakillah United States 18 644 0.8× 238 0.9× 258 1.0× 171 0.8× 198 0.9× 47 1.4k
Carrie B. Welch United States 10 834 1.1× 856 3.1× 200 0.8× 168 0.8× 370 1.7× 13 1.8k
Fenglin Zhang China 21 629 0.8× 64 0.2× 330 1.3× 109 0.5× 158 0.7× 62 1.1k
Amy S. Guala United States 21 1.0k 1.3× 356 1.3× 192 0.8× 142 0.7× 397 1.9× 26 1.7k
Elitsa Ananieva United States 14 689 0.9× 71 0.3× 334 1.3× 82 0.4× 148 0.7× 17 1.3k
Hung Nguyen United States 22 451 0.6× 86 0.3× 140 0.6× 133 0.6× 67 0.3× 56 1.3k
Helen J. Palmer United States 12 508 0.7× 67 0.2× 250 1.0× 240 1.1× 207 1.0× 15 1.4k
Seonghwan Hwang South Korea 23 595 0.8× 73 0.3× 326 1.3× 878 4.1× 110 0.5× 51 1.7k
Chang‐Yan Li China 21 905 1.2× 38 0.1× 186 0.7× 222 1.0× 99 0.5× 81 1.5k
Marie‐Françoise Simon France 19 1.2k 1.6× 296 1.1× 75 0.3× 70 0.3× 335 1.6× 30 1.6k

Countries citing papers authored by Yu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Gu. A scholar is included among the top collaborators of Yu Gu 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 Yu Gu. Yu Gu 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.
Zhao, Sophia, et al.. (2025). Single-cell sequencing uncovers the mechanistic role of DAPK1 in glioma and its diagnostic and prognostic implications. Frontiers in Immunology. 15. 1463747–1463747. 2 indexed citations
2.
Han, Ruili, Lei Liu, Ying Yang, et al.. (2023). Microglial SLC25A28 Deficiency Ameliorates the Brain Injury After Intracerebral Hemorrhage in Mice by Restricting Aerobic Glycolysis. Inflammation. 47(2). 591–608. 6 indexed citations
3.
Chen, Xinyi, Xiang‐mei Wen, Wei Zhao, et al.. (2023). ALOX5AP is a new prognostic indicator in acute myeloid leukemia. Discover Oncology. 14(1). 210–210. 1 indexed citations
4.
5.
Gu, Yu, Zi‐jun Xu, Jing‐dong Zhou, et al.. (2022). SLC22A3 methylation-mediated gene silencing predicts adverse prognosis in acute myeloid leukemia. Clinical Epigenetics. 14(1). 162–162. 3 indexed citations
6.
Gu, Yu, Tao-Fang Cheng, Jian Yang, et al.. (2022). A multiomics and network pharmacological study reveals the neuroprotective efficacy of Fu-Fang-Dan-Zhi tablets against glutamate-induced oxidative cell death. Computers in Biology and Medicine. 148. 105873–105873. 14 indexed citations
7.
Gu, Yu, Zi‐jun Xu, Jing‐dong Zhou, et al.. (2021). Abnormal expression and methylation of PRR34‐AS1 are associated with adverse outcomes in acute myeloid leukemia. Cancer Medicine. 10(15). 5283–5296. 5 indexed citations
8.
Jia, Bin, et al.. (2020). The free amino acid profiles and metabolic biomarkers of predicting the chemotherapeutic response in advanced sarcoma patients. Clinical & Translational Oncology. 22(12). 2213–2221. 6 indexed citations
9.
Zhang, Ting‐juan, Zi‐jun Xu, Yu Gu, et al.. (2020). Identification and validation of prognosis‐related DLX5 methylation as an epigenetic driver in myeloid neoplasms. SHILAP Revista de lepidopterología. 10(2). e29–e29. 28 indexed citations
10.
Zhang, Ting‐juan, Xiang‐mei Wen, Jing‐dong Zhou, et al.. (2019). <p><em>SOX30</em> methylation correlates with disease progression in patients with chronic myeloid leukemia</p>. OncoTargets and Therapy. Volume 12. 4789–4794. 9 indexed citations
11.
Zhang, Ting‐juan, Zi‐jun Xu, Yu Gu, et al.. (2019). EZH2 dysregulation: Potential biomarkers predicting prognosis and guiding treatment choice in acute myeloid leukaemia. Journal of Cellular and Molecular Medicine. 24(2). 1640–1649. 10 indexed citations
12.
Zhou, Jing‐dong, Ting‐juan Zhang, Zi‐jun Xu, et al.. (2019). BCL2 overexpression: clinical implication and biological insights in acute myeloid leukemia. Diagnostic Pathology. 14(1). 68–68. 60 indexed citations
13.
Zhang, Jin, Xing Gao, Yuan Yuan, et al.. (2019). Perilipin 5 alleviates HCV NS5A-induced lipotoxic injuries in liver. Lipids in Health and Disease. 18(1). 87–87. 10 indexed citations
14.
Sun, Chao, Yuanlin Zhao, Xing Gao, et al.. (2017). Cideb Deficiency Aggravates Dextran Sulfate Sodium-induced Ulcerative Colitis in Mice by Exacerbating the Oxidative Burden in Colonic Mucosa. Inflammatory Bowel Diseases. 23(8). 1338–1347. 12 indexed citations
15.
Zheng, Pengfei, Zhonglin Xie, Yuan Yuan, et al.. (2017). Plin5 alleviates myocardial ischaemia/reperfusion injury by reducing oxidative stress through inhibiting the lipolysis of lipid droplets. Scientific Reports. 7(1). 42574–42574. 71 indexed citations
16.
Querol‐Audí, Jordi, Chaomin Sun, Jacob M. Vogan, et al.. (2013). Architecture of Human Translation Initiation Factor 3. Structure. 21(6). 920–928. 56 indexed citations
17.
Jiang, Lina, Yu Gu, Jing Ye, et al.. (2012). Resveratrol prevents hepatic steatosis induced by hepatitis C virus core protein. Biotechnology Letters. 34(12). 2205–2212. 26 indexed citations
18.
Gu, Yu, Yuqiao Xu, Lina Jiang, et al.. (2012). Differentially expressed microRNAs in Huh-7 cells expressing HCV core genotypes 3a or 1b: Potential functions and downstream pathways. International Journal of Molecular Medicine. 30(2). 374–382. 8 indexed citations
19.
Min, Jie, Wei Zhang, Yu Gu, et al.. (2010). CIDE-3 interacts with lipopolysaccharide-induced tumor necrosis factor, and overexpression increases apoptosis in hepatocellular carcinoma. Medical Oncology. 28(S1). 219–227. 14 indexed citations
20.
Zhang, Lijun, Hang Li, Liying Zhang, et al.. (2009). Metastasis: Inherent vs. acquired phenotype. Medical Hypotheses. 74(5). 874–876. 3 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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