Yan Gu

4.5k total citations · 1 hit paper
91 papers, 3.0k citations indexed

About

Yan Gu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Yan Gu has authored 91 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 19 papers in Hematology and 16 papers in Oncology. Recurrent topics in Yan Gu's work include Acute Lymphoblastic Leukemia research (12 papers), Multiple Myeloma Research and Treatments (9 papers) and MicroRNA in disease regulation (8 papers). Yan Gu is often cited by papers focused on Acute Lymphoblastic Leukemia research (12 papers), Multiple Myeloma Research and Treatments (9 papers) and MicroRNA in disease regulation (8 papers). Yan Gu collaborates with scholars based in China, United States and Sweden. Yan Gu's co-authors include Xuetao Cao, Yanfang Liu, Jin Hou, Yizhi Yu, Xiaoping Su, Cheng Qian, Jiangxue Li, Dan Han, Nan Li and Yun Lin and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Yan Gu

83 papers receiving 3.0k citations

Hit Papers

Circular RNA circMTO1 acts as the sponge of microRNA‐9 to... 2017 2026 2020 2023 2017 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Circular RNA circMTO1 acts as the sponge of microRNA‐9 to suppress hepatocellular carcinoma progression
    2017 939 citations Xiaoping Su, Jin Hou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yan Gu China 27 1.9k 1.3k 595 419 233 91 3.0k
Bin Shan United States 32 2.1k 1.1× 1.4k 1.0× 327 0.5× 646 1.5× 102 0.4× 72 3.4k
Hongtao Liu China 32 2.0k 1.0× 1.1k 0.9× 712 1.2× 720 1.7× 87 0.4× 96 3.5k
Martin J. Walsh United States 43 5.1k 2.7× 1.8k 1.4× 345 0.6× 639 1.5× 243 1.0× 105 6.5k
Yuanjia Tang China 26 2.1k 1.1× 2.1k 1.6× 1.1k 1.9× 321 0.8× 98 0.4× 49 3.7k
Kai Xu China 31 1.7k 0.9× 626 0.5× 283 0.5× 439 1.0× 51 0.2× 112 2.8k
Maria Teresa Scupoli Italy 31 1.2k 0.7× 421 0.3× 770 1.3× 692 1.7× 171 0.7× 75 3.0k
Craig Freeman Australia 33 2.2k 1.2× 361 0.3× 239 0.4× 347 0.8× 398 1.7× 73 3.8k
Jan‐Olof Winberg Norway 27 1.1k 0.6× 826 0.6× 356 0.6× 590 1.4× 229 1.0× 80 2.6k
Chuan Yang China 31 1.9k 1.0× 1.4k 1.1× 435 0.7× 386 0.9× 34 0.1× 85 3.5k

Countries citing papers authored by Yan Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Gu. A scholar is included among the top collaborators of Yan 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 Yan Gu. Yan 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.
2.
Wang, Yuan, et al.. (2024). Risk Factor Analysis and Nomogram for Early Progression of COVID-19 Pneumonia in Older Adult Patients in the Omicron Era. Clinical Interventions in Aging. Volume 19. 439–449.
3.
Gu, Yan, Xu Chen, Zhiwei Zhang, et al.. (2023). Association between infarct location and haemorrhagic transformation of acute ischaemic stroke after intravenous thrombolysis. Clinical Radiology. 79(3). e401–e407. 3 indexed citations
4.
Zhang, Jing, Yan Gu, & Baoan Chen. (2023). Drug-Resistance Mechanism and New Targeted Drugs and Treatments of Relapse and Refractory DLBCL. Cancer Management and Research. Volume 15. 245–255. 19 indexed citations
5.
6.
Li, Jie, Xu Han, Yan Gu, et al.. (2021). LncRNA MTX2-6 Suppresses Cell Proliferation by Acting as ceRNA of miR-574-5p to Accumulate SMAD4 in Esophageal Squamous Cell Carcinoma. Frontiers in Cell and Developmental Biology. 9. 654746–654746. 11 indexed citations
7.
Wu, Jugang, et al.. (2020). Reduction of Hip2 suppresses gastric cancer cell proliferation, migration, invasion and tumorigenesis. Translational Cancer Research. 9(2). 774–785. 8 indexed citations
8.
Wang, Xiaochen, et al.. (2019). [Cone-beam CT analysis on the treatment efficacy in the vertically impacted maxillary central incisors].. PubMed. 54(11). 739–744. 1 indexed citations
9.
Gu, Yan, et al.. (2019). <p>Mechanisms of drug resistance in acute myeloid leukemia</p>. OncoTargets and Therapy. Volume 12. 1937–1945. 151 indexed citations
10.
Han, Qi, Jinlong Ma, Yan Gu, et al.. (2019). RAG1 high expression associated with IKZF1 dysfunction in adult B-cell acute lymphoblastic leukemia. Journal of Cancer. 10(16). 3842–3850. 14 indexed citations
11.
Ge, Zheng, Qi Han, Yan Gu, et al.. (2018). Aberrant ARID5B expression and its association with Ikaros dysfunction in acute lymphoblastic leukemia. Oncogenesis. 7(11). 84–84. 16 indexed citations
12.
Zhang, Jing, Xiongfei Xu, Min Shi, et al.. (2017). CD13hi Neutrophil-like myeloid-derived suppressor cells exert immune suppression through Arginase 1 expression in pancreatic ductal adenocarcinoma. OncoImmunology. 6(2). e1258504–e1258504. 58 indexed citations
13.
Xing, Yanghui, et al.. (2017). GRK2 desensitizes flow-induced responses in osteoblasts. Genetics and Molecular Research. 16(1). 1 indexed citations
14.
Zhang, Zhengwei, Xiaoli Huang, Tiantian Chen, et al.. (2017). In vivo assessment of macula in eyes of healthy children 8 to 16 years old using optical coherence tomography angiography. Scientific Reports. 7(1). 8936–8936. 49 indexed citations
15.
Ding, Xiaoqing, Zhe Liu, Heng Jia, et al.. (2015). Interaction between microRNA expression and classical risk factors in the risk of coronary heart disease. Scientific Reports. 5(1). 14925–14925. 36 indexed citations
16.
Jia, En‐Zhi, Zhaohong Chen, Lihua Li, et al.. (2014). Relationship of renin-angiotensin-aldosterone system polymorphisms and phenotypes to mortality in Chinese coronary atherosclerosis patients. Scientific Reports. 4(1). 4600–4600. 11 indexed citations
17.
18.
Su, Xiaoping, Cheng Qian, Qian Zhang, et al.. (2013). miRNomes of haematopoietic stem cells and dendritic cells identify miR-30b as a regulator of Notch1. Nature Communications. 4(1). 2903–2903. 56 indexed citations
19.
Xing, Yanghui, Yan Gu, Li‐Chong Xu, et al.. (2010). Effects of membrane cholesterol depletion and GPI‐anchored protein reduction on osteoblastic mechanotransduction. Journal of Cellular Physiology. 226(9). 2350–2359. 22 indexed citations
20.
Thulasiraman, Vanitha, et al.. (1998). Evidence that Hsc70 negatively modulates the activation of the heme‐regulated eIF‐2α kinase in rabbit reticulocyte lysate. European Journal of Biochemistry. 255(3). 552–562. 30 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

Breakdown of academic impact, for papers by Bin Shan Breakdown of academic impact, for papers by Hongtao Liu Breakdown of academic impact, for papers by Martin J. Walsh Breakdown of academic impact, for papers by Yuanjia Tang Breakdown of academic impact, for papers by Kai Xu Breakdown of academic impact, for papers by Maria Teresa Scupoli Breakdown of academic impact, for papers by Craig Freeman Breakdown of academic impact, for papers by Jan‐Olof Winberg Breakdown of academic impact, for papers by Chuan Yang
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